├── negative-words.txt ├── documentlevelsentiment.csv ├── modal - master dictionary.txt ├── superfluous - master dictionary.txt ├── interesting - master dictionary.txt ├── LICENSE ├── negative.txt ├── constraining - master dictionary.txt ├── SentimentAnalysis - Polarity - Domain Specific Lexicon.py ├── README.md ├── uncertainty - master dictionary.txt ├── positive - master dictionary.txt ├── SentimentAnalysis - Polarity-based.py ├── NLP_feature_extractor.py ├── litigious - master dictionary.txt ├── positive.txt ├── oursentiment.csv ├── positive-words.txt ├── negative - master dictionary.txt └── testsentimentclass.csv /negative-words.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/franciscogmm/FinancialAnalysisUsingNLPandMachineLearning/HEAD/negative-words.txt -------------------------------------------------------------------------------- /documentlevelsentiment.csv: -------------------------------------------------------------------------------- 1 | Actual,Predicted 2 | 1.0,0.0 3 | 1.0,1.0 4 | 1.0,-1.0 5 | 1.0,0.0 6 | 1.0,1.0 7 | 1.0,1.0 8 | -1.0,1.0 9 | 1.0,1.0 10 | 1.0,1.0 11 | -1.0,-1.0 12 | -1.0,1.0 13 | 1.0,1.0 14 | 1.0,1.0 15 | 1.0,1.0 16 | 1.0,1.0 17 | 1.0,1.0 18 | 0.0,1.0 19 | 1.0,1.0 20 | 1.0,1.0 21 | 1.0,1.0 22 | 0.0,1.0 23 | 1.0,1.0 24 | 1.0,-1.0 25 | 1.0,1.0 26 | 1.0,1.0 27 | 1.0,0.0 28 | 1.0,1.0 29 | 0.0,1.0 30 | 1.0,1.0 31 | 0.0,1.0 32 | -1.0,0.0 33 | 0.0,1.0 34 | 1.0,1.0 35 | 0.0,1.0 36 | 0.0,1.0 37 | 0.0,1.0 38 | 1.0,1.0 39 | 1.0,1.0 40 | -------------------------------------------------------------------------------- /modal - master dictionary.txt: -------------------------------------------------------------------------------- 1 | almost 2 | always 3 | apparently 4 | appeared 5 | appearing 6 | appears 7 | best 8 | can 9 | clearly 10 | conceivable 11 | could 12 | definitely 13 | definitively 14 | depend 15 | depended 16 | depending 17 | depends 18 | frequently 19 | generally 20 | highest 21 | likely 22 | lowest 23 | may 24 | maybe 25 | might 26 | must 27 | nearly 28 | never 29 | occasionally 30 | often 31 | ought 32 | perhaps 33 | possible 34 | possibly 35 | probable 36 | probably 37 | rarely 38 | regularly 39 | seldom 40 | seldomly 41 | should 42 | sometimes 43 | somewhat 44 | strongly 45 | suggest 46 | suggests 47 | tends 48 | unambiguously 49 | uncertain 50 | uncertainly 51 | uncompromising 52 | undisputed 53 | undoubtedly 54 | unequivocal 55 | unequivocally 56 | unparalleled 57 | unsurpassed 58 | usually 59 | will 60 | would 61 | -------------------------------------------------------------------------------- /superfluous - master dictionary.txt: -------------------------------------------------------------------------------- 1 | aegis 2 | amorphous 3 | anticipatory 4 | appertaining 5 | assimilate 6 | assimilating 7 | assimilation 8 | bifurcated 9 | bifurcation 10 | cessions 11 | cognizable 12 | concomitant 13 | correlative 14 | deconsolidation 15 | delineation 16 | demonstrable 17 | demonstrably 18 | derecognized 19 | derecognizes 20 | derivatively 21 | effectuate 22 | effectuated 23 | effectuates 24 | effectuating 25 | effectuation 26 | efficacious 27 | efficacy 28 | exigent 29 | expeditiously 30 | extant 31 | furthermore 32 | germane 33 | howsoever 34 | impost 35 | imposts 36 | imputation 37 | imputed 38 | investigatory 39 | mandatorily 40 | nonetheless 41 | obviate 42 | plenary 43 | preponderance 44 | presumptive 45 | propagation 46 | proscribe 47 | putative 48 | recharacterization 49 | redetermination 50 | redetermined 51 | stratum 52 | superannuation 53 | theses 54 | ubiquitous 55 | wheresoever 56 | whilst 57 | -------------------------------------------------------------------------------- /interesting - master dictionary.txt: -------------------------------------------------------------------------------- 1 | aggressive 2 | aggressively 3 | aggressiveness 4 | asbestos 5 | august 6 | ban 7 | bioterrorism 8 | bridge 9 | cancer 10 | chapter 11 | concerning 12 | contaminated 13 | contests 14 | cooperated 15 | death 16 | debilitating 17 | decrease 18 | decreases 19 | decreasing 20 | destroyer 21 | diagnosed 22 | die 23 | died 24 | dies 25 | disabled 26 | discover 27 | diseased 28 | drop 29 | emotional 30 | extraordinary 31 | fatal 32 | freeze 33 | graft 34 | honesty 35 | increases 36 | increasing 37 | incredible 38 | incurable 39 | infection 40 | inoperable 41 | lesions 42 | lies 43 | malignancies 44 | malignant 45 | march 46 | mighty 47 | mortgagee 48 | oink 49 | piracy 50 | rabbi 51 | reductions 52 | relieved 53 | remedial 54 | repossess 55 | secret 56 | seizures 57 | soared 58 | sputtering 59 | sublessee 60 | sublessees 61 | sublessor 62 | suspenders 63 | sustainability 64 | touche 65 | toxic 66 | trauma 67 | tumor 68 | vacant 69 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2017 Francisco Mendoza 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /negative.txt: -------------------------------------------------------------------------------- 1 | butfellshortofitsgoals 2 | decreasefrom 3 | decreaseinnetincome 4 | thepaceofgrowthdecreased 5 | didnotachieve 6 | slowdownin 7 | decidednottoincrease 8 | havingnotmetorexceeded 9 | defercompensationincreases 10 | didnotmeettargets 11 | areductioninourunderwritingprofitability 12 | fellshortofgoals 13 | decrease 14 | growthdecreased 15 | slowdown 16 | notmet 17 | notexceeded 18 | reduction 19 | fellshort 20 | hasnotproposedanincreasein 21 | notexpectordesiresuchcompensationtoincrease 22 | havenotprovidedtheNEOswithanyretirementbenefits 23 | annualIncentiveswerepaidbelowtarget 24 | performanceStockUnitspaidbelowtarget 25 | belowtheoriginalgrantdatefairvalue 26 | financialresultswereatthemiddleorlowerend 27 | didnotreceiveanyequityawards 28 | didnotmeetthethresholdrequirementsof 29 | wassignificantlybelowtarget 30 | notfullymeettheperformancecriteria 31 | decreaseinbasesalaries 32 | significantlybelowmarket 33 | reductionintheirbasesalaries 34 | reductionintotalequityopportunity 35 | nosalaryortargetcashincentiveincreases 36 | highlychallengingperformanceobjectives 37 | requiredsignificanteffortandskilltoachieve 38 | belowtarget 39 | stockvolatility 40 | negativetotalstockholderreturn 41 | growthslowed 42 | overallreportedresultsdeclinedbyapproximately 43 | withinthemarketmedianrangeonaverage 44 | nobonus 45 | noincrease 46 | nosalaryortargetcashincentiveincreases 47 | stockvolatility 48 | notgivenasalaryincrease 49 | notatalevelsufficient 50 | lossoflargecustomers 51 | long-termperformancecyclefell 52 | toaloss 53 | highlychallengingperformanceobjectives 54 | negativetotalstockholderreturn 55 | growthslowed 56 | significantlyinfluencedbyfactorsbeyondourcontrol 57 | requiredsignificanteffortandskilltoachieve 58 | decrease 59 | below 60 | loss 61 | bottom 62 | -------------------------------------------------------------------------------- /constraining - master dictionary.txt: -------------------------------------------------------------------------------- 1 | abide 2 | abiding 3 | bound 4 | bounded 5 | commit 6 | commitment 7 | commitments 8 | commits 9 | committed 10 | committing 11 | compel 12 | compelled 13 | compelling 14 | compels 15 | comply 16 | compulsion 17 | compulsory 18 | confine 19 | confined 20 | confinement 21 | confines 22 | confining 23 | constrain 24 | constrained 25 | constraining 26 | constrains 27 | constraint 28 | constraints 29 | covenant 30 | covenanted 31 | covenanting 32 | covenants 33 | depend 34 | dependance 35 | dependances 36 | dependant 37 | dependencies 38 | dependent 39 | depending 40 | depends 41 | dictate 42 | dictated 43 | dictates 44 | dictating 45 | directive 46 | directives 47 | earmark 48 | earmarked 49 | earmarking 50 | earmarks 51 | encumber 52 | encumbered 53 | encumbering 54 | encumbers 55 | encumbrance 56 | encumbrances 57 | entail 58 | entailed 59 | entailing 60 | entails 61 | entrench 62 | entrenched 63 | escrow 64 | escrowed 65 | escrows 66 | forbade 67 | forbid 68 | forbidden 69 | forbidding 70 | forbids 71 | impair 72 | impaired 73 | impairing 74 | impairment 75 | impairments 76 | impairs 77 | impose 78 | imposed 79 | imposes 80 | imposing 81 | imposition 82 | impositions 83 | indebted 84 | inhibit 85 | inhibited 86 | inhibiting 87 | inhibits 88 | insist 89 | insisted 90 | insistence 91 | insisting 92 | insists 93 | irrevocable 94 | irrevocably 95 | limit 96 | limiting 97 | limits 98 | mandate 99 | mandated 100 | mandates 101 | mandating 102 | mandatory 103 | manditorily 104 | necessitate 105 | necessitated 106 | necessitates 107 | necessitating 108 | noncancelable 109 | noncancellable 110 | obligate 111 | obligated 112 | obligates 113 | obligating 114 | obligation 115 | obligations 116 | obligatory 117 | oblige 118 | obliged 119 | obliges 120 | permissible 121 | permission 122 | permissions 123 | permitted 124 | permitting 125 | pledge 126 | pledged 127 | pledges 128 | pledging 129 | preclude 130 | precluded 131 | precludes 132 | precluding 133 | precondition 134 | preconditions 135 | preset 136 | prevent 137 | prevented 138 | preventing 139 | prevents 140 | prohibit 141 | prohibited 142 | prohibiting 143 | prohibition 144 | prohibitions 145 | prohibitive 146 | prohibitively 147 | prohibitory 148 | prohibits 149 | refrain 150 | refraining 151 | refrains 152 | require 153 | required 154 | requirement 155 | requirements 156 | requires 157 | requiring 158 | restrain 159 | restrained 160 | restraining 161 | restrains 162 | restraint 163 | restraints 164 | restrict 165 | restricted 166 | restricting 167 | restriction 168 | restrictions 169 | restrictive 170 | restrictively 171 | restrictiveness 172 | restricts 173 | stipulate 174 | stipulated 175 | stipulates 176 | stipulating 177 | stipulation 178 | stipulations 179 | strict 180 | stricter 181 | strictest 182 | strictly 183 | unavailability 184 | unavailable 185 | -------------------------------------------------------------------------------- /SentimentAnalysis - Polarity - Domain Specific Lexicon.py: -------------------------------------------------------------------------------- 1 | import csv 2 | import pandas as pd 3 | import nltk 4 | from nltk import FreqDist,ngrams 5 | from nltk.corpus import stopwords 6 | import string 7 | from os import listdir 8 | from os.path import isfile, join 9 | 10 | def ngram_list(file,n): 11 | f = open(file,'rU') 12 | raw = f.read() 13 | raw = raw.replace('\n',' ') 14 | #raw = raw.decode('utf8') 15 | #raw = raw.decode("utf-8", 'ignore') 16 | ngramz = ngrams(raw.split(),n) 17 | return ngramz 18 | def IsNotNull(value): 19 | return value is not None and len(value) > 0 20 | 21 | mypath = '/Users/francis/Documents/FORDHAM/2nd Term/Text Analytics/' #path where files are located 22 | onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))] 23 | 24 | dict_p = [] 25 | f = open('positive.txt', 'r') 26 | for line in f: 27 | t = line.strip().lower() 28 | if IsNotNull(t): 29 | dict_p.append(t) 30 | f.close 31 | 32 | dict_n = [] 33 | f = open('negative.txt', 'r') 34 | for line in f: 35 | t = line.strip().lower() 36 | if IsNotNull(t): 37 | dict_n.append(t) 38 | f.close 39 | totallist = [] 40 | rowlist = [] 41 | qa = 0 42 | qb = 0 43 | counti = 0 44 | for i in onlyfiles: 45 | if i.endswith('.txt'): 46 | # get code 47 | j = i.replace('.txt','') 48 | # string filename 49 | file = mypath + str(i) 50 | print i 51 | 52 | f = open(file,'rU') 53 | raw = f.read() 54 | #print type(raw) 55 | raw = [w.translate(None, string.punctuation) for w in raw] 56 | raw = ''.join(raw) 57 | raw = raw.replace('\n','') 58 | raw = raw.replace(' ','') 59 | #print raw 60 | qa = 0 61 | qb = 0 62 | for word in dict_p: 63 | if word in raw: 64 | qa += 1 65 | 66 | for word in dict_n: 67 | if word in raw: 68 | qb += 1 69 | 70 | qc = qa - qb 71 | 72 | if qc > 0: 73 | sentiment = 'POSITIVE' 74 | elif qc == 0: 75 | sentiment = 'NEUTRAL' 76 | else: 77 | sentiment = 'NEGATIVE' 78 | 79 | rowlist.append(i) 80 | rowlist.append(qa) 81 | rowlist.append(qb) 82 | rowlist.append(qc) 83 | rowlist.append(sentiment) 84 | 85 | print counti 86 | counti += 1 87 | totallist.append(rowlist) 88 | 89 | rowlist = [] 90 | 91 | 92 | 93 | 94 | else: 95 | pass 96 | 97 | labels = ('file', 'P', 'N', 'NET', 'SENTIMENT') 98 | df = pd.DataFrame.from_records(totallist, columns = labels) 99 | 100 | df.to_csv('oursentiment.csv', index = False) 101 | 102 | 103 | #print dict_p 104 | 105 | 106 | # allbigrams.append(ngram_list(file,2)) 107 | # print i + ' BIGRAM - OK' 108 | # alltrigrams.append(ngram_list(file,3)) 109 | # print i + ' TRIGRAM - OK' 110 | # allfourgrams.append(ngram_list(file,4)) 111 | # print i + ' FOURGRAM - OK' 112 | # allfivegrams.append(ngram_list(file,5)) 113 | # print i + ' TRIGRAM - OK' 114 | # allsixgrams.append(ngram_list(file,6)) 115 | # print i + ' SIXGRAM - OK' 116 | # allsevengrams.append(ngram_list(file,7)) 117 | # print i + ' SEVENGRAM - OK' 118 | # alleightgrams.append(ngram_list(file,8)) 119 | # print i + ' EIGHTGRAM - OK' -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # FinancialAnalysisUsingNLPandMachineLearning 2 | Used text analytics (NLP) and machine learning to determine the true earnings quality of publicly listed companies 3 | 4 | This was submitted as a project for my Text Analytics class in my MS Business Analytics program. The original title is “Text Analytics on the Compensation Discussion and Analysis of S&P 1500 Proxy Statements. My other teammates are Minglu Sun, Jiawen Zhou, and Yi Luo. This project was done for educational purposes only. 5 | 6 | ## Problem Statement 7 | The purpose of this study is to explore whether the sentiment, structure, and contents of a company’s Proxy Statement Compensation Discussion and Analysis (CD&A) reflects the company’s real financial performance in terms of the relationship of Earnings per Share and Operating Cash Flow per Share 8 | 9 | ## Hypothesis 10 | In this project, we assumed that the more positive a company’s proxy statement’s CD&A was written, the better the earnings quality of a company is in a given fiscal year. 11 | 12 | According to Investopedia, Two financial indicators are being used to present whether companies’ earnings with high quality or low quality. A company has high quality earnings if it is generating more cash than is reported in the income statement. Earning quality is low if the company’s statements are not showing the negative operating results of the company. True cash operating results are also overstated. 13 | 14 | - High quality earnings: Earnings Per Share (EPS) > Operating Cash Flow Per Share (CFS) 15 | - Low quality earnings: Earnings Per Share (EPS) < Operating Cash Flow Per Share (CFS) 16 | 17 | ## Data Description 18 | - Randomly selected 1,500 companies’ S&P Proxy Statements’ Compensation Discussion and Analysis (CD&A) from the U.S. SEC EDGAR System. 19 | - Company performance (Earnings Per Share and Cash Flow Per Share) using the Intrinio Financial Marketplace API. 20 | - Ticker and registered company industries from Google Finance. 21 | 22 | In addition, two popular sentiment lexicons were selected for the sentiment analysis portion: Bing Liu’s sentiment dictionary and LoughranMcDonald Master Dictionary, which was specifically developed for Tim Loughran and Bill McDonald’s paper in the Journal of Finance entitled “When is Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks” (2011). 23 | 24 | ## Methodology 25 | ### 1. Data Preprocessing 26 | - Text data was extracted from the CD&As. It underwent cleaning, which involved removal of punctuations and special characters. 27 | - Domain-specific lexicon creation. In the process, positive and negative words, phrase, and templates were extracted from 200 of the 500 documents. In the process, positive and negative words, phrase, and templates were extracted. 28 | - Templates: e.g. an increase/decrease of amount from number>/year, metric increased/decreased amount over/compared to year 29 | - The team simulated “expertise” and classified the 200 documents into positive or negative performance/sentiment. 30 | ### 2. Sentiment Analysis 31 | - Feature-level Analysis 32 | - Polarity-based sentiment analysis was conducted using the two publicly available lexicons mentioned above. 33 | - Due to inadequate results, the team decided to create a new domain-specific lexicon that will hopefully produce a better result. 34 | - To complement the sentiment analysis, IBM Tone Analyzer was used to acquire 13 tonal dimension results for each company’s CD&A. 35 | - Document-level Analysis 36 | - Using the “expert” classifications of the 200 labeled data and the domain-specific lexicon as the feature set, a term-document matrix data set, containing the quantity/existence of each feature in all the documents (500 in total, was created. 37 | - Using a Neural Network, the remaining 300 documents were classified into positive or negative sentiment classes. 38 | ### 3. Classification of Earnings Quality 39 | - Considering the sentiment classification from the polarity-based sentiment analysis model, using the domain-specific dictionary and the tonal information as predictors and the earning quality as the target variable, four scenarios were used and subjected to multiple classification models (random forest, neural network, and logistic regression). 40 | - The following scenarios were tested: 41 | - Scenario 1 : Financial Performances ~ CD&A Tones 42 | - Scenario 2: Financial Performances ~ CD&A Sentiment 43 | - Scenario 3: Financial Performances ~ CD&A Tones + Sentiment 44 | - Scenario 4: Financial Performances ~ Top 5 Predictor Importance (Tone + Sentiment) 45 | ### 4. Tools: 46 | - R 47 | - Python 48 | - IBM Tone Analyzer 49 | 50 | 51 | # Read the analysis at https://dataontherocks.wordpress.com/2017/06/04/classifying-a-companys-true-earnings-quality-using-text-analytics-and-machine-learning-on-sp-proxy-statements-compensation-discussion-and-analysis-r-python/ 52 | -------------------------------------------------------------------------------- /uncertainty - master dictionary.txt: -------------------------------------------------------------------------------- 1 | abeyance 2 | abeyances 3 | almost 4 | alteration 5 | alterations 6 | ambiguities 7 | ambiguity 8 | ambiguous 9 | anomalies 10 | anomalous 11 | anomalously 12 | anomaly 13 | anticipate 14 | anticipated 15 | anticipates 16 | anticipating 17 | anticipation 18 | anticipations 19 | apparent 20 | apparently 21 | appear 22 | appeared 23 | appearing 24 | appears 25 | approximate 26 | approximated 27 | approximately 28 | approximates 29 | approximating 30 | approximation 31 | approximations 32 | arbitrarily 33 | arbitrariness 34 | arbitrary 35 | assume 36 | assumed 37 | assumes 38 | assuming 39 | assumption 40 | assumptions 41 | believe 42 | believed 43 | believes 44 | believing 45 | cautious 46 | cautiously 47 | cautiousness 48 | clarification 49 | clarifications 50 | conceivable 51 | conceivably 52 | conditional 53 | conditionally 54 | confuses 55 | confusing 56 | confusingly 57 | confusion 58 | contingencies 59 | contingency 60 | contingent 61 | contingently 62 | contingents 63 | could 64 | crossroad 65 | crossroads 66 | depend 67 | depended 68 | dependence 69 | dependencies 70 | dependency 71 | dependent 72 | depending 73 | depends 74 | destabilizing 75 | deviate 76 | deviated 77 | deviates 78 | deviating 79 | deviation 80 | deviations 81 | differ 82 | differed 83 | differing 84 | differs 85 | doubt 86 | doubted 87 | doubtful 88 | doubts 89 | exposure 90 | exposures 91 | fluctuate 92 | fluctuated 93 | fluctuates 94 | fluctuating 95 | fluctuation 96 | fluctuations 97 | hidden 98 | hinges 99 | imprecise 100 | imprecision 101 | imprecisions 102 | improbability 103 | improbable 104 | incompleteness 105 | indefinite 106 | indefinitely 107 | indefiniteness 108 | indeterminable 109 | indeterminate 110 | inexact 111 | inexactness 112 | instabilities 113 | instability 114 | intangible 115 | intangibles 116 | likelihood 117 | may 118 | maybe 119 | might 120 | nearly 121 | nonassessable 122 | occasionally 123 | ordinarily 124 | pending 125 | perhaps 126 | possibilities 127 | possibility 128 | possible 129 | possibly 130 | precaution 131 | precautionary 132 | precautions 133 | predict 134 | predictability 135 | predicted 136 | predicting 137 | prediction 138 | predictions 139 | predictive 140 | predictor 141 | predictors 142 | predicts 143 | preliminarily 144 | preliminary 145 | presumably 146 | presume 147 | presumed 148 | presumes 149 | presuming 150 | presumption 151 | presumptions 152 | probabilistic 153 | probabilities 154 | probability 155 | probable 156 | probably 157 | random 158 | randomize 159 | randomized 160 | randomizes 161 | randomizing 162 | randomly 163 | randomness 164 | reassess 165 | reassessed 166 | reassesses 167 | reassessing 168 | reassessment 169 | reassessments 170 | recalculate 171 | recalculated 172 | recalculates 173 | recalculating 174 | recalculation 175 | recalculations 176 | reconsider 177 | reconsidered 178 | reconsidering 179 | reconsiders 180 | reexamination 181 | reexamine 182 | reexamining 183 | reinterpret 184 | reinterpretation 185 | reinterpretations 186 | reinterpreted 187 | reinterpreting 188 | reinterprets 189 | revise 190 | revised 191 | risk 192 | risked 193 | riskier 194 | riskiest 195 | riskiness 196 | risking 197 | risks 198 | risky 199 | roughly 200 | rumors 201 | seems 202 | seldom 203 | seldomly 204 | sometime 205 | sometimes 206 | somewhat 207 | somewhere 208 | speculate 209 | speculated 210 | speculates 211 | speculating 212 | speculation 213 | speculations 214 | speculative 215 | speculatively 216 | sporadic 217 | sporadically 218 | sudden 219 | suddenly 220 | suggest 221 | suggested 222 | suggesting 223 | suggests 224 | susceptibility 225 | tending 226 | tentative 227 | tentatively 228 | turbulence 229 | uncertain 230 | uncertainly 231 | uncertainties 232 | uncertainty 233 | unclear 234 | unconfirmed 235 | undecided 236 | undefined 237 | undesignated 238 | undetectable 239 | undeterminable 240 | undetermined 241 | undocumented 242 | unexpected 243 | unexpectedly 244 | unfamiliar 245 | unfamiliarity 246 | unforecasted 247 | unforseen 248 | unguaranteed 249 | unhedged 250 | unidentifiable 251 | unidentified 252 | unknown 253 | unknowns 254 | unobservable 255 | unplanned 256 | unpredictability 257 | unpredictable 258 | unpredictably 259 | unpredicted 260 | unproved 261 | unproven 262 | unquantifiable 263 | unquantified 264 | unreconciled 265 | unseasonable 266 | unseasonably 267 | unsettled 268 | unspecific 269 | unspecified 270 | untested 271 | unusual 272 | unusually 273 | unwritten 274 | vagaries 275 | vague 276 | vaguely 277 | vagueness 278 | vaguenesses 279 | vaguer 280 | vaguest 281 | variability 282 | variable 283 | variables 284 | variably 285 | variance 286 | variances 287 | variant 288 | variants 289 | variation 290 | variations 291 | varied 292 | varies 293 | vary 294 | varying 295 | volatile 296 | volatilities 297 | volatility 298 | -------------------------------------------------------------------------------- /positive - master dictionary.txt: -------------------------------------------------------------------------------- 1 | able 2 | abundance 3 | abundant 4 | acclaimed 5 | accomplish 6 | accomplished 7 | accomplishes 8 | accomplishing 9 | accomplishment 10 | accomplishments 11 | achieve 12 | achieved 13 | achievement 14 | achievements 15 | achieves 16 | achieving 17 | adequately 18 | advancement 19 | advancements 20 | advances 21 | advancing 22 | advantage 23 | advantaged 24 | advantageous 25 | advantageously 26 | advantages 27 | alliance 28 | alliances 29 | assure 30 | assured 31 | assures 32 | assuring 33 | attain 34 | attained 35 | attaining 36 | attainment 37 | attainments 38 | attains 39 | attractive 40 | attractiveness 41 | beautiful 42 | beautifully 43 | beneficial 44 | beneficially 45 | benefit 46 | benefited 47 | benefiting 48 | benefitted 49 | benefitting 50 | best 51 | better 52 | bolstered 53 | bolstering 54 | bolsters 55 | boom 56 | booming 57 | boost 58 | boosted 59 | breakthrough 60 | breakthroughs 61 | brilliant 62 | charitable 63 | collaborate 64 | collaborated 65 | collaborates 66 | collaborating 67 | collaboration 68 | collaborations 69 | collaborative 70 | collaborator 71 | collaborators 72 | compliment 73 | complimentary 74 | complimented 75 | complimenting 76 | compliments 77 | conclusive 78 | conclusively 79 | conducive 80 | confident 81 | constructive 82 | constructively 83 | courteous 84 | creative 85 | creatively 86 | creativeness 87 | creativity 88 | delight 89 | delighted 90 | delightful 91 | delightfully 92 | delighting 93 | delights 94 | dependability 95 | dependable 96 | desirable 97 | desired 98 | despite 99 | destined 100 | diligent 101 | diligently 102 | distinction 103 | distinctions 104 | distinctive 105 | distinctively 106 | distinctiveness 107 | dream 108 | easier 109 | easily 110 | easy 111 | effective 112 | efficiencies 113 | efficiency 114 | efficient 115 | efficiently 116 | empower 117 | empowered 118 | empowering 119 | empowers 120 | enable 121 | enabled 122 | enables 123 | enabling 124 | encouraged 125 | encouragement 126 | encourages 127 | encouraging 128 | enhance 129 | enhanced 130 | enhancement 131 | enhancements 132 | enhances 133 | enhancing 134 | enjoy 135 | enjoyable 136 | enjoyably 137 | enjoyed 138 | enjoying 139 | enjoyment 140 | enjoys 141 | enthusiasm 142 | enthusiastic 143 | enthusiastically 144 | excellence 145 | excellent 146 | excelling 147 | excels 148 | exceptional 149 | exceptionally 150 | excited 151 | excitement 152 | exciting 153 | exclusive 154 | exclusively 155 | exclusiveness 156 | exclusives 157 | exclusivity 158 | exemplary 159 | fantastic 160 | favorable 161 | favorably 162 | favored 163 | favoring 164 | favorite 165 | favorites 166 | friendly 167 | gain 168 | gained 169 | gaining 170 | gains 171 | good 172 | great 173 | greater 174 | greatest 175 | greatly 176 | greatness 177 | happiest 178 | happily 179 | happiness 180 | happy 181 | highest 182 | honor 183 | honorable 184 | honored 185 | honoring 186 | honors 187 | ideal 188 | impress 189 | impressed 190 | impresses 191 | impressing 192 | impressive 193 | impressively 194 | improve 195 | improved 196 | improvement 197 | improvements 198 | improves 199 | improving 200 | incredible 201 | incredibly 202 | influential 203 | informative 204 | ingenuity 205 | innovate 206 | innovated 207 | innovates 208 | innovating 209 | innovation 210 | innovations 211 | innovative 212 | innovativeness 213 | innovator 214 | innovators 215 | insightful 216 | inspiration 217 | inspirational 218 | integrity 219 | invent 220 | invented 221 | inventing 222 | invention 223 | inventions 224 | inventive 225 | inventiveness 226 | inventor 227 | inventors 228 | leadership 229 | leading 230 | loyal 231 | lucrative 232 | meritorious 233 | opportunities 234 | opportunity 235 | optimistic 236 | outperform 237 | outperformed 238 | outperforming 239 | outperforms 240 | perfect 241 | perfected 242 | perfectly 243 | perfects 244 | pleasant 245 | pleasantly 246 | pleased 247 | pleasure 248 | plentiful 249 | popular 250 | popularity 251 | positive 252 | positively 253 | preeminence 254 | preeminent 255 | premier 256 | premiere 257 | prestige 258 | prestigious 259 | proactive 260 | proactively 261 | proficiency 262 | proficient 263 | proficiently 264 | profitability 265 | profitable 266 | profitably 267 | progress 268 | progressed 269 | progresses 270 | progressing 271 | prospered 272 | prospering 273 | prosperity 274 | prosperous 275 | prospers 276 | rebound 277 | rebounded 278 | rebounding 279 | receptive 280 | regain 281 | regained 282 | regaining 283 | resolve 284 | revolutionize 285 | revolutionized 286 | revolutionizes 287 | revolutionizing 288 | reward 289 | rewarded 290 | rewarding 291 | rewards 292 | satisfaction 293 | satisfactorily 294 | satisfactory 295 | satisfied 296 | satisfies 297 | satisfy 298 | satisfying 299 | smooth 300 | smoothing 301 | smoothly 302 | smooths 303 | solves 304 | solving 305 | spectacular 306 | spectacularly 307 | stability 308 | stabilization 309 | stabilizations 310 | stabilize 311 | stabilized 312 | stabilizes 313 | stabilizing 314 | stable 315 | strength 316 | strengthen 317 | strengthened 318 | strengthening 319 | strengthens 320 | strengths 321 | strong 322 | stronger 323 | strongest 324 | succeed 325 | succeeded 326 | succeeding 327 | succeeds 328 | success 329 | successes 330 | successful 331 | successfully 332 | superior 333 | surpass 334 | surpassed 335 | surpasses 336 | surpassing 337 | transparency 338 | tremendous 339 | tremendously 340 | unmatched 341 | unparalleled 342 | unsurpassed 343 | upturn 344 | upturns 345 | valuable 346 | versatile 347 | versatility 348 | vibrancy 349 | vibrant 350 | win 351 | winner 352 | winners 353 | winning 354 | worthy 355 | -------------------------------------------------------------------------------- /SentimentAnalysis - Polarity-based.py: -------------------------------------------------------------------------------- 1 | import csv 2 | import pandas as pd 3 | from time import time, sleep 4 | import numpy as np 5 | import nltk 6 | import string 7 | import ast 8 | import re 9 | import os 10 | import sys 11 | import multiprocessing 12 | from os import listdir 13 | from os.path import isfile, join 14 | csv.field_size_limit(sys.maxsize) 15 | #os.system("taskset -p 0xff %d" % os.getpid()) 16 | def IsNotNull(value): 17 | return value is not None and len(value) > 0 18 | 19 | totallist = [] 20 | 21 | #create +/- word-dict 22 | #Bing Liu's dictionary 23 | dict_p = [] 24 | f = open('positive-words.txt', 'r') 25 | for line in f: 26 | t = line.strip().lower() 27 | if IsNotNull(t): 28 | dict_p.append(t) 29 | f.close 30 | 31 | dict_n = [] 32 | f = open('negative-words.txt', 'r') 33 | for line in f: 34 | t = line.strip().lower() 35 | if IsNotNull(t): 36 | dict_n.append(t) 37 | f.close 38 | 39 | #change to MASTER DICTIONARY 40 | dict_n2 = [] 41 | f = open('negative - master dictionary.txt', 'r') 42 | for line in f: 43 | t = line.strip().lower() 44 | if IsNotNull(t): 45 | dict_n2.append(t) 46 | f.close 47 | 48 | dict_p2 = [] 49 | f = open('positive - master dictionary.txt', 'r') 50 | for line in f: 51 | t = line.strip().lower() 52 | if IsNotNull(t): 53 | dict_p2.append(t) 54 | f.close 55 | 56 | #EXTENDED SENTIMENT 57 | dict_uncertainty = [] 58 | f = open('uncertainty - master dictionary.txt', 'r') 59 | for line in f: 60 | t = line.strip().lower() 61 | if IsNotNull(t): 62 | dict_uncertainty.append(t) 63 | f.close 64 | dict_litigious = [] 65 | f = open('litigious - master dictionary.txt', 'r') 66 | for line in f: 67 | t = line.strip().lower() 68 | if IsNotNull(t): 69 | dict_litigious.append(t) 70 | f.close 71 | dict_constraining = [] 72 | f = open('constraining - master dictionary.txt', 'r') 73 | for line in f: 74 | t = line.strip().lower() 75 | if IsNotNull(t): 76 | dict_constraining.append(t) 77 | f.close 78 | dict_superfluous = [] 79 | f = open('superfluous - master dictionary.txt', 'r') 80 | for line in f: 81 | t = line.strip().lower() 82 | if IsNotNull(t): 83 | dict_superfluous.append(t) 84 | f.close 85 | dict_interesting = [] 86 | f = open('interesting - master dictionary.txt', 'r') 87 | for line in f: 88 | t = line.strip().lower() 89 | if IsNotNull(t): 90 | dict_interesting.append(t) 91 | f.close 92 | dict_modal = [] 93 | f = open('modal - master dictionary.txt', 'r') 94 | for line in f: 95 | t = line.strip().lower() 96 | if IsNotNull(t): 97 | dict_modal.append(t) 98 | f.close 99 | 100 | 101 | rowlist = [] 102 | rowlist2 = [] 103 | newlist = [] 104 | netcnt2 = 0 105 | netcnt = 0 106 | counti = 1 107 | qa = 0 108 | qb = 0 109 | qa2 = 0 110 | qb2 = 0 111 | unc = 0 112 | lit = 0 113 | con = 0 114 | sup = 0 115 | inte = 0 116 | mod = 0 117 | 118 | mypath = '/Users/francis/Documents/FORDHAM/2nd Term/Text Analytics/' #path where files are located 119 | onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))] 120 | 121 | for i in onlyfiles: 122 | qa = 0 123 | qb = 0 124 | if i.endswith('.txt'): 125 | # get code 126 | j = i.replace('.txt','') 127 | # string filename 128 | file = mypath + str(i) 129 | f = open(file,'rU') 130 | raw = f.read() 131 | raw = raw.replace('\n',' ') 132 | #raw = raw.decode('utf8') 133 | 134 | for word in dict_p: 135 | if word in raw: 136 | qa += 1 137 | 138 | for word in dict_n: 139 | if word in raw: 140 | qb += 1 141 | 142 | qc = qa - qb 143 | 144 | if qc > 0: 145 | sentiment = 'POSITIVE' 146 | elif qc == 0: 147 | sentiment = 'NEUTRAL' 148 | else: 149 | sentiment = 'NEGATIVE' 150 | 151 | #version 2 - dictionaries 152 | 153 | for word in dict_p2: 154 | if word in raw: 155 | qa2 += 1 156 | 157 | for word in dict_n2: 158 | if word in raw: 159 | qb2 += 1 160 | 161 | qc2 = qa2 - qb2 162 | 163 | if qc2 > 0: 164 | sentiment2 = 'POSITIVE' 165 | elif qc2 == 0: 166 | sentiment2 = 'NEUTRAL' 167 | else: 168 | sentiment2 = 'NEGATIVE' 169 | 170 | #extended 171 | 172 | for word in dict_uncertainty: 173 | if word in raw: 174 | unc += 1 175 | for word in dict_litigious: 176 | if word in raw: 177 | lit += 1 178 | for word in dict_constraining: 179 | if word in raw: 180 | con += 1 181 | for word in dict_superfluous: 182 | if word in raw: 183 | sup += 1 184 | for word in dict_interesting: 185 | if word in raw: 186 | inte += 1 187 | for word in dict_modal: 188 | if word in raw: 189 | mod += 1 190 | 191 | 192 | rowlist.append(i) 193 | rowlist.append(qa) 194 | rowlist.append(qb) 195 | rowlist.append(qc) 196 | rowlist.append(sentiment) 197 | rowlist.append(qa2) 198 | rowlist.append(qb2) 199 | rowlist.append(qc2) 200 | rowlist.append(sentiment2) 201 | 202 | rowlist.append(unc) 203 | rowlist.append(lit) 204 | rowlist.append(con) 205 | rowlist.append(sup) 206 | rowlist.append(inte) 207 | rowlist.append(mod) 208 | 209 | print counti 210 | counti += 1 211 | totallist.append(rowlist) 212 | 213 | rowlist2 = [] 214 | rowlist = [] 215 | 216 | 217 | labels = ('file', 'BL_P', 'BL_N', 'BL_NET', 'BL_SENTIMENT','M_P', 'M_N', 'M_NET', 'M_SENTIMENT','M_UNCERTAINTY','M_LITIGIOUS','M_CONSTRAINING','M_SUPERFLUOUS','M_INTERESTING','M_MODAL') 218 | df = pd.DataFrame.from_records(totallist, columns = labels) 219 | 220 | df.to_csv('allsentiment.csv', index = False) 221 | 222 | # netcnt += qc 223 | # netcnt2 += qc2 224 | 225 | # if netcnt > 0: 226 | # print "V1 - TOTAL +" 227 | # elif netcnt == 0: 228 | # print "V1 - TOTAL ~" 229 | # else: 230 | # print "V1 - TOTAL -" 231 | # netcnt = 0 232 | 233 | # if netcnt2 > 0: 234 | # print "V2 - TOTAL +" 235 | # elif netcnt2 == 0: 236 | # print "V2 - TOTAL ~" 237 | # else: 238 | # print "V2 - TOTAL -" 239 | # netcnt2 = 0 -------------------------------------------------------------------------------- /NLP_feature_extractor.py: -------------------------------------------------------------------------------- 1 | import nltk 2 | from nltk import FreqDist,ngrams 3 | from nltk.corpus import stopwords 4 | import string 5 | from os import listdir 6 | from os.path import isfile, join 7 | 8 | 9 | def wordfreq(file): 10 | f = open(file,'rU') 11 | raw = f.read() 12 | raw = raw.replace('\n',' ') 13 | #raw = raw.decode('utf8') 14 | #tokenization 15 | tokens = nltk.word_tokenize(raw) 16 | #stopwords = stopwords.words('english') #use the NLTK stopwords 17 | #lower everything 18 | words = [w.lower() for w in tokens] 19 | #words_nostop = [w.lower() for w in tokens] 20 | #remove numbers 21 | words = [w for w in words if w.isalpha()] 22 | #words_nostop = [w for w in words_nostop if w.isalpha()] 23 | #encode 24 | words = [w.encode('utf8') for w in words] 25 | #words_nostop = [w.encode('utf8') for w in words if w not in stopwords] 26 | #remove punctuations 27 | words = [w.translate(None, string.punctuation) for w in words] 28 | #words_nostop = [w.translate(None, string.punctuation) for w in words_nostop] 29 | freq = FreqDist(words) 30 | #freq_nostop = FreqDist(words_nostop) 31 | sorted_freq = sorted(freq.items(),key = lambda k:k[1], reverse = True) 32 | #sorted_freq_nostop = sorted(freq_nostop.items(),key = lambda k:k[1], reverse = True) 33 | return sorted_freq 34 | 35 | # def sentiment(file): 36 | # raw = f.read() 37 | # raw = raw.replace('\n',' ') 38 | # #raw = raw.decode('utf8') 39 | # #tokenization 40 | # tokens = nltk.word_tokenize(raw) 41 | 42 | # for word in tokens: 43 | 44 | 45 | def wordfreq(file): 46 | f = open(file,'rU') 47 | raw = f.read() 48 | raw = raw.replace('\n',' ') 49 | #raw = raw.decode('utf8') 50 | #tokenization 51 | tokens = nltk.word_tokenize(raw) 52 | #stopwords = stopwords.words('english') #use the NLTK stopwords 53 | #lower everything 54 | words = [w.lower() for w in tokens] 55 | #words_nostop = [w.lower() for w in tokens] 56 | #remove numbers 57 | words = [w for w in words if w.isalpha()] 58 | #words_nostop = [w for w in words_nostop if w.isalpha()] 59 | #encode 60 | words = [w.encode('utf8') for w in words] 61 | #words_nostop = [w.encode('utf8') for w in words if w not in stopwords] 62 | #remove punctuations 63 | words = [w.translate(None, string.punctuation) for w in words] 64 | #words_nostop = [w.translate(None, string.punctuation) for w in words_nostop] 65 | freq = FreqDist(words) 66 | #freq_nostop = FreqDist(words_nostop) 67 | sorted_freq = sorted(freq.items(),key = lambda k:k[1], reverse = True) 68 | #sorted_freq_nostop = sorted(freq_nostop.items(),key = lambda k:k[1], reverse = True) 69 | return sorted_freq 70 | 71 | def postag(file,tag): 72 | f = open(file,'rU') 73 | raw = f.read() 74 | print type(raw) 75 | raw = raw.replace('\n',' ') 76 | raw = raw.decode("utf-8", 'ignore') 77 | 78 | #tokenization 79 | tokens = nltk.word_tokenize(raw) 80 | 81 | POS_tags = nltk.pos_tag(tokens) 82 | POS_tags_list = [(word,tag) for (word,tag) in POS_tags if tag.startswith(tag)] 83 | 84 | #freq = FreqDist(words) 85 | #tag_freq = FreqDist(POS_tags_list) 86 | #sorted_freq = sorted(freq.items(),key = lambda k:k[1], reverse = True) 87 | #sorted_tag_freq = sorted(tag_freq.items(),key = lambda k:k[1], reverse = True) 88 | return POS_tags_list 89 | 90 | def ngram_list(file,n): 91 | f = open(file,'rU') 92 | raw = f.read() 93 | raw = raw.replace('\n',' ') 94 | #raw = raw.decode('utf8') 95 | ngramz = ngrams(raw.split(),n) 96 | return ngramz 97 | 98 | mypath = '/Users/francis/Documents/FORDHAM/2nd Term/Text Analytics/' #path where files are located 99 | onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))] 100 | 101 | allwords_nostop = [] 102 | allpos_tags = [] 103 | allbigrams = [] 104 | alltrigrams = [] 105 | allfivegrams = [] 106 | tag_list = ['N','J','RB','V'] 107 | for i in onlyfiles: 108 | if i.endswith('.txt'): 109 | # get code 110 | j = i.replace('.txt','') 111 | # string filename 112 | file = mypath + str(i) 113 | print i 114 | # allwords_nostop.append(wordfreq_nostop(file)) 115 | # print i + ' ALLWORDS_NOSTOP - OK' 116 | for tag in tag_list: 117 | allpos_tags.append(postag(file,tag)) 118 | print i + ' POSTAGGING - OK' 119 | # allbigrams.append(ngram_list(file,2)) 120 | # print i + ' BIGRAM - OK' 121 | # alltrigrams.append(ngram_list(file,3)) 122 | # print i + ' TRIGRAM - OK' 123 | # allfivegrams.append(ngram_list(file,5)) 124 | # print i + ' TRIGRAM - OK' 125 | else: 126 | pass 127 | 128 | AWNS = [] 129 | APT = [] 130 | BG = [] 131 | TG = [] 132 | FG = [] 133 | # for i in allwords_nostop: 134 | # AWNS += i 135 | # nostop_freq = FreqDist(AWNS) 136 | # sorted_nostop_freq = sorted(nostop_freq.items(),key = lambda k:k[1], reverse = True) 137 | 138 | for i in allpos_tags: 139 | APT += i 140 | tag_freq = FreqDist(APT) 141 | sorted_tag_freq = sorted(tag_freq.items(),key = lambda k:k[1], reverse = True) 142 | 143 | # for i in allbigrams: 144 | # BG += i 145 | # bg_freq = FreqDist(BG) 146 | # sorted_bg_freq = sorted(bg_freq.items(),key = lambda k:k[1], reverse = True) 147 | 148 | # for i in alltrigrams: 149 | # TG += i 150 | # tg_freq = FreqDist(TG) 151 | #sorted_tg_freq = sorted(tg_freq.items(),key = lambda k:k[1], reverse = True) 152 | 153 | # for i in allfivegrams: 154 | # FG += i 155 | # fg_freq = FreqDist(FG) 156 | # sorted_fg_freq = sorted(fg_freq.items(),key = lambda k:k[1], reverse = True) 157 | 158 | # a = 0 159 | # for i in sorted_nostop_freq: 160 | # print 'nonstop' +str(a) 161 | # a+=1 162 | # with open('sorted_nostop_freq.txt', 'a') as csvfile: 163 | # csvfile.write(str(i) + '\n') 164 | a = 0 165 | for i in sorted_tag_freq: 166 | print 'tag' +str(a) 167 | a+=1 168 | with open('sorted_tag_extended_freq.txt', 'a') as csvfile: 169 | csvfile.write(str(i) + '\n') 170 | 171 | 172 | # a = 0 173 | # for i in sorted_bg_freq: 174 | # print 'bg' +str(a) 175 | # a+=1 176 | # with open('sorted_bg_freq.txt', 'a') as csvfile: 177 | # csvfile.write(str(i) + '\n') 178 | 179 | # a = 0 180 | # for i in sorted_tg_freq: 181 | # print 'tg' +str(a) 182 | # a+=1 183 | # with open('sorted_tg_freq.txt', 'a') as csvfile: 184 | # csvfile.write(str(i) + '\n') 185 | 186 | # a = 0 187 | # for i in sorted_fg_freq: 188 | # print 'fg' +str(a) 189 | # a+=1 190 | # with open('sorted_fg_freq.txt', 'a') as csvfile: 191 | # csvfile.write(str(i) + '\n') -------------------------------------------------------------------------------- /litigious - master dictionary.txt: -------------------------------------------------------------------------------- 1 | abovementioned 2 | abrogate 3 | abrogated 4 | abrogates 5 | abrogating 6 | abrogation 7 | abrogations 8 | absolve 9 | absolved 10 | absolves 11 | absolving 12 | accession 13 | accessions 14 | acquirees 15 | acquirors 16 | acquit 17 | acquits 18 | acquittal 19 | acquittals 20 | acquittance 21 | acquittances 22 | acquitted 23 | acquitting 24 | addendums 25 | adjourn 26 | adjourned 27 | adjourning 28 | adjournment 29 | adjournments 30 | adjourns 31 | adjudge 32 | adjudged 33 | adjudges 34 | adjudging 35 | adjudicate 36 | adjudicated 37 | adjudicates 38 | adjudicating 39 | adjudication 40 | adjudications 41 | adjudicative 42 | adjudicator 43 | adjudicators 44 | adjudicatory 45 | admissibility 46 | admissible 47 | admissibly 48 | admission 49 | admissions 50 | affidavit 51 | affidavits 52 | affirmance 53 | affreightment 54 | aforedescribed 55 | aforementioned 56 | aforesaid 57 | aforestated 58 | aggrieved 59 | allegation 60 | allegations 61 | allege 62 | alleged 63 | allegedly 64 | alleges 65 | alleging 66 | amend 67 | amendable 68 | amendatory 69 | amended 70 | amending 71 | amendment 72 | amendments 73 | amends 74 | antecedent 75 | antecedents 76 | anticorruption 77 | antitrust 78 | anywise 79 | appeal 80 | appealable 81 | appealed 82 | appealing 83 | appeals 84 | appellant 85 | appellants 86 | appellate 87 | appellees 88 | appointor 89 | appurtenance 90 | appurtenances 91 | appurtenant 92 | arbitrability 93 | arbitral 94 | arbitrate 95 | arbitrated 96 | arbitrates 97 | arbitrating 98 | arbitration 99 | arbitrational 100 | arbitrations 101 | arbitrative 102 | arbitrator 103 | arbitrators 104 | arrearage 105 | arrearages 106 | ascendancy 107 | ascendant 108 | ascendants 109 | assertable 110 | assignation 111 | assignations 112 | assumable 113 | attest 114 | attestation 115 | attestations 116 | attested 117 | attesting 118 | attorn 119 | attorney 120 | attorneys 121 | attornment 122 | attorns 123 | bail 124 | bailed 125 | bailee 126 | bailees 127 | bailiff 128 | bailiffs 129 | bailment 130 | beneficiated 131 | beneficiation 132 | bona 133 | bonafide 134 | breach 135 | breached 136 | breaches 137 | breaching 138 | cedant 139 | cedants 140 | certiorari 141 | cession 142 | chattel 143 | chattels 144 | choate 145 | claim 146 | claimable 147 | claimant 148 | claimants 149 | claimholder 150 | claims 151 | clawbacks 152 | codefendant 153 | codefendants 154 | codicil 155 | codicils 156 | codification 157 | codifications 158 | codified 159 | codifies 160 | codify 161 | codifying 162 | collusion 163 | compensatory 164 | complainant 165 | complainants 166 | condemnor 167 | confiscatory 168 | consent 169 | consented 170 | consenting 171 | consents 172 | conservatorships 173 | constitution 174 | constitutional 175 | constitutionality 176 | constitutionally 177 | constitutions 178 | constitutive 179 | construe 180 | construed 181 | construes 182 | construing 183 | contestability 184 | contestation 185 | contract 186 | contracted 187 | contractholder 188 | contractholders 189 | contractible 190 | contractile 191 | contracting 192 | contracts 193 | contractual 194 | contractually 195 | contravene 196 | contravened 197 | contravenes 198 | contravening 199 | contravention 200 | contraventions 201 | controvert 202 | controverted 203 | controverting 204 | conveniens 205 | conveyance 206 | conveyances 207 | convict 208 | convicted 209 | convicting 210 | conviction 211 | convictions 212 | coterminous 213 | counsel 214 | counseled 215 | counselled 216 | counsels 217 | countersignor 218 | countersued 219 | countersuit 220 | countersuits 221 | court 222 | courtroom 223 | courts 224 | crime 225 | crimes 226 | criminal 227 | criminality 228 | criminalize 229 | criminalizing 230 | criminally 231 | criminals 232 | crossclaim 233 | crossclaims 234 | decedent 235 | decedents 236 | declarant 237 | decree 238 | decreed 239 | decreeing 240 | decrees 241 | defalcation 242 | defalcations 243 | defeasance 244 | defeasances 245 | defease 246 | defeased 247 | defeasement 248 | defeases 249 | defeasing 250 | defectively 251 | defendable 252 | defendant 253 | defendants 254 | deference 255 | delegable 256 | delegatable 257 | delegatee 258 | delegees 259 | demurred 260 | demurrer 261 | demurrers 262 | demurring 263 | demurs 264 | depose 265 | deposed 266 | deposes 267 | deposing 268 | deposition 269 | depositional 270 | depositions 271 | derogate 272 | derogated 273 | derogates 274 | derogating 275 | derogation 276 | derogations 277 | designator 278 | desist 279 | detainer 280 | devisees 281 | disaffiliation 282 | disaffirm 283 | disaffirmance 284 | disaffirmed 285 | disaffirms 286 | dispositive 287 | dispossession 288 | dispossessory 289 | distraint 290 | distributee 291 | distributees 292 | docket 293 | docketed 294 | docketing 295 | dockets 296 | donees 297 | duly 298 | ejectment 299 | encumber 300 | encumbered 301 | encumbering 302 | encumbers 303 | encumbrance 304 | encumbrancer 305 | encumbrancers 306 | encumbrances 307 | endorsee 308 | enforceability 309 | enforceable 310 | enforceably 311 | escheat 312 | escheated 313 | escheatment 314 | escrowing 315 | estoppel 316 | evidential 317 | evidentiary 318 | exceedance 319 | exceedances 320 | exceedences 321 | excised 322 | exculpate 323 | exculpated 324 | exculpates 325 | exculpating 326 | exculpation 327 | exculpations 328 | exculpatory 329 | executor 330 | executors 331 | executory 332 | executrices 333 | executrix 334 | executrixes 335 | extracontractual 336 | extracorporeal 337 | extrajudicial 338 | facie 339 | facto 340 | felonies 341 | felonious 342 | felony 343 | fide 344 | forbade 345 | forbear 346 | forbearance 347 | forbearances 348 | forbearing 349 | forbears 350 | forebear 351 | forebearance 352 | forebears 353 | forfeitability 354 | forfeitable 355 | forthwith 356 | forwhich 357 | fugitive 358 | fugitives 359 | furtherance 360 | grantor 361 | grantors 362 | henceforth 363 | henceforward 364 | hereafter 365 | hereby 366 | hereditaments 367 | herefor 368 | herefore 369 | herefrom 370 | herein 371 | hereinabove 372 | hereinafter 373 | hereinbefore 374 | hereinbelow 375 | hereof 376 | hereon 377 | hereto 378 | heretofore 379 | hereunder 380 | hereunto 381 | hereupon 382 | herewith 383 | herewithin 384 | immateriality 385 | impleaded 386 | inasmuch 387 | incapacity 388 | incarcerate 389 | incarcerated 390 | incarcerates 391 | incarcerating 392 | incarceration 393 | incarcerations 394 | inchoate 395 | incontestability 396 | incontestable 397 | indemnifiable 398 | indemnification 399 | indemnifications 400 | indemnified 401 | indemnifies 402 | indemnify 403 | indemnifying 404 | indemnitee 405 | indemnitees 406 | indemnities 407 | indemnitor 408 | indemnitors 409 | indemnity 410 | indict 411 | indictable 412 | indicted 413 | indicting 414 | indictment 415 | indictments 416 | indorsees 417 | inforce 418 | infraction 419 | infractions 420 | infringer 421 | injunction 422 | injunctions 423 | injunctive 424 | insofar 425 | interlocutory 426 | interpleader 427 | interpose 428 | interposed 429 | interposes 430 | interposing 431 | interposition 432 | interpositions 433 | interrogate 434 | interrogated 435 | interrogates 436 | interrogating 437 | interrogation 438 | interrogations 439 | interrogator 440 | interrogatories 441 | interrogators 442 | interrogatory 443 | intestacy 444 | intestate 445 | irrevocability 446 | irrevocable 447 | irrevocably 448 | joinder 449 | judicial 450 | judicially 451 | judiciaries 452 | judiciary 453 | juries 454 | juris 455 | jurisdiction 456 | jurisdictional 457 | jurisdictionally 458 | jurisdictions 459 | jurisprudence 460 | jurist 461 | jurists 462 | juror 463 | jurors 464 | jury 465 | juryman 466 | justice 467 | justices 468 | law 469 | lawful 470 | lawfully 471 | lawfulness 472 | lawmakers 473 | lawmaking 474 | laws 475 | lawsuit 476 | lawsuits 477 | lawyer 478 | lawyers 479 | legal 480 | legalese 481 | legality 482 | legalization 483 | legalizations 484 | legalize 485 | legalized 486 | legalizes 487 | legalizing 488 | legally 489 | legals 490 | legatee 491 | legatees 492 | legislate 493 | legislated 494 | legislates 495 | legislating 496 | legislation 497 | legislations 498 | legislative 499 | legislatively 500 | legislator 501 | legislators 502 | legislature 503 | legislatures 504 | libel 505 | libeled 506 | libelous 507 | libels 508 | licensable 509 | lienholders 510 | litigant 511 | litigants 512 | litigate 513 | litigated 514 | litigates 515 | litigating 516 | litigation 517 | litigations 518 | litigator 519 | litigators 520 | litigious 521 | litigiousness 522 | majeure 523 | mandamus 524 | mediate 525 | mediated 526 | mediates 527 | mediating 528 | mediation 529 | mediations 530 | mediator 531 | mediators 532 | misdemeanor 533 | misfeasance 534 | mistrial 535 | mistrials 536 | moreover 537 | motions 538 | mutandis 539 | nolo 540 | nonappealable 541 | nonbreaching 542 | noncontingent 543 | noncontract 544 | noncontractual 545 | noncontributory 546 | nonfeasance 547 | nonfiduciary 548 | nonforfeitability 549 | nonforfeitable 550 | nonforfeiture 551 | nonguarantor 552 | noninfringement 553 | noninfringing 554 | nonjudicial 555 | nonjudicially 556 | nonjurisdictional 557 | nonseverable 558 | nonterminable 559 | nonusurious 560 | notarial 561 | notaries 562 | notarization 563 | notarizations 564 | notarize 565 | notarized 566 | notarizing 567 | notary 568 | notwithstanding 569 | novo 570 | nullification 571 | nullifications 572 | nullified 573 | nullifies 574 | nullify 575 | nullifying 576 | nullities 577 | nullity 578 | obligee 579 | obligees 580 | obligor 581 | obligors 582 | offense 583 | offeree 584 | offerees 585 | offeror 586 | offerors 587 | optionee 588 | optionees 589 | overrule 590 | overruled 591 | overrules 592 | overruling 593 | para 594 | pari 595 | passu 596 | patentee 597 | pecuniarily 598 | perjury 599 | permittee 600 | permittees 601 | perpetrate 602 | perpetrated 603 | perpetrates 604 | perpetrating 605 | perpetration 606 | personam 607 | petition 608 | petitioned 609 | petitioner 610 | petitioners 611 | petitioning 612 | petitions 613 | plaintiff 614 | plaintiffs 615 | pleading 616 | pleadings 617 | pleads 618 | pleas 619 | pledgee 620 | pledgees 621 | pledgor 622 | pledgors 623 | possessory 624 | postclosing 625 | postclosure 626 | postcontract 627 | postjudgment 628 | preamendment 629 | predecease 630 | predeceased 631 | predeceases 632 | predeceasing 633 | prehearing 634 | prejudice 635 | prejudiced 636 | prejudices 637 | prejudicial 638 | prejudicing 639 | prepetition 640 | presumptively 641 | pretrial 642 | prima 643 | privity 644 | probate 645 | probated 646 | probates 647 | probating 648 | probation 649 | probational 650 | probationary 651 | probationer 652 | probationers 653 | probations 654 | promulgate 655 | promulgated 656 | promulgates 657 | promulgating 658 | promulgation 659 | promulgations 660 | promulgator 661 | promulgators 662 | prorata 663 | proration 664 | prosecute 665 | prosecuted 666 | prosecutes 667 | prosecuting 668 | prosecution 669 | prosecutions 670 | prosecutor 671 | prosecutorial 672 | prosecutors 673 | proviso 674 | provisoes 675 | provisos 676 | punishable 677 | quitclaim 678 | quitclaims 679 | rata 680 | ratable 681 | ratably 682 | reargument 683 | rebut 684 | rebuts 685 | rebuttable 686 | rebuttably 687 | rebuttal 688 | rebuttals 689 | rebutted 690 | rebutting 691 | recordation 692 | recoupable 693 | recoupment 694 | recoupments 695 | recourse 696 | recourses 697 | rectification 698 | rectifications 699 | recusal 700 | recuse 701 | recused 702 | recuses 703 | recusing 704 | redact 705 | redacted 706 | redacting 707 | redaction 708 | redactions 709 | referenda 710 | referendum 711 | referendums 712 | refile 713 | refiled 714 | refiles 715 | refiling 716 | regulate 717 | regulated 718 | regulates 719 | regulating 720 | regulation 721 | regulations 722 | regulative 723 | regulator 724 | regulators 725 | regulatory 726 | rehear 727 | reheard 728 | rehearing 729 | rehearings 730 | releasees 731 | remand 732 | remanded 733 | remanding 734 | remands 735 | remediate 736 | remediated 737 | remediating 738 | remediation 739 | remediations 740 | remedied 741 | remised 742 | repledged 743 | replevin 744 | requester 745 | requestor 746 | reregulation 747 | rescind 748 | rescinded 749 | rescinding 750 | rescinds 751 | rescission 752 | rescissions 753 | restitutionary 754 | retendering 755 | retrocede 756 | retroceded 757 | retrocessionaires 758 | revocability 759 | revocation 760 | revocations 761 | ruling 762 | rulings 763 | sentenced 764 | sentencing 765 | sequestrator 766 | settlement 767 | settlements 768 | severability 769 | severable 770 | severally 771 | severance 772 | severances 773 | shall 774 | statute 775 | statutes 776 | statutorily 777 | statutory 778 | subclause 779 | subclauses 780 | subdocket 781 | subleasee 782 | subleasehold 783 | sublessors 784 | sublicensee 785 | sublicensor 786 | subparagraph 787 | subparagraphs 788 | subpoena 789 | subpoenaed 790 | subpoenas 791 | subrogated 792 | subrogation 793 | subtrust 794 | subtrusts 795 | sue 796 | sued 797 | sues 798 | suing 799 | summoned 800 | summoning 801 | summons 802 | summonses 803 | supersede 804 | supersedeas 805 | superseded 806 | supersedes 807 | superseding 808 | sureties 809 | surety 810 | tenantability 811 | terminable 812 | terminus 813 | testamentary 814 | testify 815 | testifying 816 | testimony 817 | thence 818 | thenceforth 819 | thenceforward 820 | thereafter 821 | thereat 822 | therefrom 823 | therein 824 | thereinafter 825 | thereof 826 | thereon 827 | thereover 828 | thereto 829 | theretofor 830 | theretofore 831 | thereunder 832 | thereunto 833 | thereupon 834 | therewith 835 | tort 836 | tortious 837 | tortiously 838 | torts 839 | transferor 840 | transferors 841 | unappealable 842 | unappealed 843 | unconstitutional 844 | unconstitutionality 845 | unconstitutionally 846 | uncontracted 847 | undefeased 848 | undischarged 849 | unencumber 850 | unencumbered 851 | unenforceability 852 | unenforceable 853 | unlawful 854 | unlawfully 855 | unlawfulness 856 | unremediated 857 | unstayed 858 | unto 859 | usurious 860 | usurp 861 | usurpation 862 | usurped 863 | usurping 864 | usurps 865 | usury 866 | vendee 867 | vendees 868 | verdict 869 | verdicts 870 | viatical 871 | violative 872 | voidable 873 | voided 874 | voiding 875 | warrantees 876 | warrantor 877 | whatever 878 | whatsoever 879 | whensoever 880 | whereabouts 881 | whereas 882 | whereat 883 | whereby 884 | wherefore 885 | wherein 886 | whereof 887 | whereon 888 | whereto 889 | whereunder 890 | whereupon 891 | wherewith 892 | whistleblowers 893 | whomever 894 | whomsoever 895 | whosoever 896 | wilful 897 | willful 898 | willfully 899 | willfulness 900 | witness 901 | witnesses 902 | writ 903 | writs 904 | -------------------------------------------------------------------------------- /positive.txt: -------------------------------------------------------------------------------- 1 | performedextremelywell 2 | outpacedtheindustry'sgrowth 3 | achievementofouroverallbusinessgoals 4 | earnedanon-refundablepayment 5 | outperforming 6 | Revenueincreased 7 | OutperformsIndustry 8 | recordfull-yearrevenue 9 | atahighlevel 10 | deliveredsolidoperatingperformance 11 | strongoperatingandfinancialperformance 12 | exceedingourtarget 13 | increasedby 14 | successfullymanaged 15 | financialperformancewasstrong 16 | financialperformancefurtherimproved 17 | exceededboththeminimumthreshold 18 | outperformed 19 | excellent2014financialandoperationalresults 20 | ourstrongestannualresults 21 | achievedoutstandingtoplinegrowth 22 | rose 23 | rapidgrowthinthesizeandscale 24 | continuedimprovement 25 | assetsgrew 26 | increaseingrossprofit 27 | accelerate 28 | eliminationofredundantexpenses 29 | Revenuesgrew 30 | Successful 31 | PerformancewasStrong 32 | revenuesgrew 33 | reducingcashcostofsales 34 | increasedfunds 35 | increaseof 36 | towardsoursuccess 37 | earnedamilestonepayment 38 | Successfulcompletion 39 | Operatingincomeincreased 40 | increaseof 41 | cashflowfromoperationshasbeenpositive 42 | betterthanourtarget 43 | netsalesgrowth 44 | revenueup 45 | recordrevenue 46 | yearoveryearincreasesinnetincome 47 | atthefastestrate 48 | achievedgains 49 | highestforanyfiscalyear 50 | oneofthelargest 51 | revenuesincreased 52 | depositsincreased 53 | continuedtoseeourbusinessgrow 54 | Grossmarginimproved 55 | helpeddiversify 56 | EBITDAgrew 57 | all-timehigh 58 | loweringSG&Aexpenses 59 | increased 60 | outperforming 61 | achievementofourfinancialgoals 62 | upfrontpayment 63 | expansionofourassetbase 64 | Operatingcashflowincreased 65 | awarda 66 | revenuegrew 67 | Strongcashgeneration 68 | beatingourtarget 69 | increasein 70 | Inspiteoftheseaccomplishments 71 | grewby 72 | incomeimproved 73 | increasedthenumberoflots 74 | growth 75 | increased 76 | impressiveorganicloangrowth 77 | Revenuegrew 78 | revenuesincreased 79 | loweredtheinterestrates 80 | extendedthematurity 81 | upfrom 82 | remainedabove 83 | strongperformance 84 | stronggrowth 85 | meaningfulimprovement 86 | Despiteanextremelydifficult 87 | continuedtoimprove 88 | nonperformingassetsdeclined 89 | successfullyexecutedseveralstrategicinitiatives 90 | achievedrecordannualnetrevenues 91 | recordannualnetincome 92 | financialaccomplishments 93 | anincreaseof 94 | increasedfrom 95 | strongdividendgrowth 96 | Continueddevelopmentandimplementation 97 | Stockpriceincreased 98 | outperformedthepeergroup 99 | despitevariousactivitychallenges 100 | revenueincreasedto 101 | remainedstrong 102 | increasedstockprice 103 | operatingmarginimproved 104 | stockpriceincreased 105 | stockpriceincreased 106 | revenueimproved 107 | increased 108 | inexcessof 109 | increasingby 110 | achievinganall-timerecordresult 111 | reimbursetravelexpenses 112 | equityincentivesgranted 113 | anincreaseinnetincome 114 | rewardindividualperformance 115 | emergegrowthcompany 116 | emerginggrowthcompany 117 | increaseinrevenues 118 | adoptedaspecificperformancebonusplan 119 | awardedperformance-basedrestrictedstockunits 120 | achievedtarget 121 | achieveditscumulativeannualcostsavingstarget 122 | strongloanandcoredepositgrowth 123 | Companycontinueditsexpansion 124 | receievedsalaryincrease 125 | receivedthesamesalaryincrease 126 | increasedbyamodestamount 127 | receivedabasesalaryincrease 128 | thehighestrevenue 129 | achievedstrongfinancialresults 130 | remainedconsistent 131 | Increasedtheshort-termperformance-basedincentivecompensationtarget 132 | raisedequity 133 | successfullyraisedbothcommonandpreferredequity 134 | modestlyincreased 135 | ishigherthan 136 | achievedanotherstrongyearoffinancialresults 137 | markedbystrongfinancialperformance 138 | exceeded 139 | strongperformance 140 | increasesinthebasesalaries 141 | receivedlargerthanaverage 142 | successfulyear 143 | wasimmediatelyaccretiveto 144 | percentgrowthinearningspershare 145 | performedverywell 146 | achivecostsavinggoal 147 | exceedoriginal 148 | increasedincashflow 149 | performedextremelywell 150 | shareholderreturnsallcontinuingtoperformstrongly 151 | anincreaseinEPS 152 | adoptedanequitycompensationplan 153 | Totaloperatingexpensesdecreased 154 | incentivecashbonuses 155 | improvementsinassetqualityandoperationalefficiencies 156 | companyhasgrown 157 | increaseincentivepayments 158 | asignificantexpansion 159 | completedanumberofoperationalandstrategicactivities 160 | achievedsubstantialincrementalimprovement 161 | exceededthestretchrequirementof 162 | annualincentiveincreasedto 163 | increasing 164 | abovetargetedperformancelevels 165 | ThefinancialperformanceoftheCompanyimproved 166 | millionofgrowth 167 | delivertopquartilereturns 168 | expensereduction 169 | Increasedtheannualdividend 170 | reducedcost 171 | abovethetotalshareholderreturn 172 | Increasedstockprice 173 | salesandnetincomegrowth 174 | totalassetsgrowthwasdrivenby 175 | StockOptionPlanBenefits 176 | long-termperformanceisstrong 177 | broughtnewproductstomarket 178 | revenuegrew 179 | approvedadiscretionarybonus 180 | Increasesinbasesalary 181 | generatinggrossmarginsof 182 | grantedrestrictedstock 183 | dilutedearningspercommonshareincreased 184 | attainmentofthismeasure 185 | reduceseniorsecureddebt 186 | percentagepointsabovethestandard 187 | inexcessof 188 | performedatthetopofourpeergroup 189 | revenueincreased 190 | increasetotalborrowingfacilities 191 | equitygrantswerelarger 192 | strongperformance 193 | rewardtheattainmentoflong-termcorporateobjectives 194 | Increasedbasesalaries 195 | improvingprojectdelivery 196 | newbusinessgrowth 197 | followinggoals 198 | netinterestmarginexpanded 199 | bonusawardsofupto 200 | raisedthebasesalary 201 | wasawardedanannualincentive 202 | Improvedfinancialposition 203 | millionnewcreditcardswereissued 204 | businessthrivedandcontributed 205 | strongperformance 206 | grantaward 207 | purchasesharesatadiscount 208 | purchaseoursharesatadiscount 209 | improvedreturns 210 | eachgoalwasdeemedachievable 211 | netinterestincomeincreased 212 | achievedrecognition 213 | capitalincreased 214 | significantglobalbusinessgrowth 215 | increasesinshareholdervalue 216 | TSRincreasingby 217 | totalStockholderReturn(TSR)increasingby 218 | reducedconsolidatedinterestexpense 219 | averagedepositsincreased 220 | benefittedfromsuccessfulregulatoryproceedings 221 | adoptedacashincentiveplan 222 | loansandleasesincreased 223 | Revenueingrew 224 | atorabovetargetperformance 225 | deliverrevenuegrowth 226 | outperformed 227 | profitableyear 228 | revenueincrease 229 | milestoneyear 230 | meaningfulperformance 231 | exceptionalperformance 232 | performancesstrong 233 | continuedtogrow 234 | importantprogress 235 | achievethecorporategoals 236 | upwardmomentum 237 | exceedingindustryaverage 238 | topquartile 239 | increaseinsales 240 | increased 241 | netincomeincreased 242 | currentgrowth 243 | revenuegrowth 244 | achievementoftargetedreturn 245 | increasebasesalary 246 | increasethesalaries 247 | receivedasalaryincrease 248 | realizedstronginternalgrowth 249 | exceededtheEBITDAbonustarget 250 | increasedannualsalary 251 | evolutionandgrowthinourexecutiveleadershipstructure 252 | outstandingperformance 253 | significantlyabovetargetadjustedgrowth 254 | salesgrowth 255 | revenuegrowth 256 | achievedsignificantprogress 257 | strongperformance 258 | receiveseverancebenefits 259 | solidorganicnetsalesgrowth 260 | increasedbasesalaries 261 | makegoodprogress 262 | strongperformances 263 | achievethegoals 264 | achievement 265 | exceededthebonustarget 266 | evolution 267 | significantlyabovetarget 268 | significantprogress 269 | solidorganicgrowth 270 | organicgrowthof 271 | anincreaseof 272 | drovecontinuedprogress 273 | progress 274 | continuedprogress 275 | strategicmilestonesandperformance 276 | milestones 277 | growthon 278 | achievedsignificantgrowth 279 | significantlyimprovedfinancialresults 280 | increasingrevenue 281 | higheroperatingincomeandoperatingcashflow 282 | increasedtheannualdividendrate 283 | growthinfiscalintermsofrevenues 284 | generatestrongimprovement 285 | stronggrowthintheCompany'sstockprice 286 | Increasedrivenbygrowth 287 | exceededourfinancialgoals 288 | ourrevenueandnetincomegrowth 289 | higheroperatingincome 290 | significantprogress 291 | improved 292 | stronggrowthinstockprice 293 | netincomegrowth 294 | revenuegrowth 295 | achievedstrongfinancialresults 296 | successful 297 | Successfulcompletion 298 | AlignsReflects 299 | Continuetogrow 300 | drivestronggrowth 301 | achievement 302 | growth 303 | anincreaseofsurpass 304 | increase 305 | approve 306 | metgoals 307 | continuedachievement 308 | strongperformance 309 | achievemission 310 | achieveanincreaseof 311 | strongperformance 312 | increase 313 | anotherstrongyear 314 | strongperformance 315 | strongfiscalyear 316 | achievedrevenueof 317 | Bestperformance 318 | transformitsbusiness 319 | rapidlyreducedebt 320 | demonstratedability 321 | significantprogressin 322 | continuedstrongcashflows 323 | Increasedstockholderreturn 324 | Growthonaglobalscale 325 | performanceabovethesuperiorlevel 326 | Strongsalesandcashflow 327 | anincrease 328 | Achievedgrowthof 329 | Generated 330 | performancewasstrong 331 | growth 332 | Raisedapproximately 333 | revenueincreased 334 | sharewasup 335 | deliveredstrongperformance 336 | Grewrevenuesby 337 | achievedsignificantgrowth 338 | revenueswereup 339 | achievegrowthandprofitability 340 | achievement 341 | continuesthetrendofincreasing 342 | improveon 343 | exceededgoal 344 | representsanimprovement 345 | recordedanimprovement 346 | increasedby 347 | achievedkeycontractrenewalsandextensions 348 | higherthan 349 | strong 350 | 351 | 352 | 353 | 354 | 355 | 356 | 357 | 358 | 359 | 360 | 361 | 362 | 363 | 364 | 365 | 366 | 367 | 368 | 369 | 370 | 371 | 372 | 373 | 374 | 375 | 376 | 377 | 378 | 379 | 380 | 381 | 382 | 383 | 384 | 385 | 386 | 387 | 388 | 389 | 390 | 391 | 392 | 393 | 394 | 395 | 396 | 397 | 398 | 399 | 400 | 401 | 402 | 403 | 404 | 405 | 406 | 407 | 408 | 409 | 410 | 411 | 412 | 413 | 414 | 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| 1499 | 1500 | 1501 | 1502 | 1503 | 1504 | 1505 | 1506 | 1507 | 1508 | 1509 | 1510 | 1511 | 1512 | 1513 | 1514 | 1515 | 1516 | 1517 | 1518 | 1519 | 1520 | 1521 | 1522 | 1523 | 1524 | 1525 | 1526 | 1527 | 1528 | 1529 | 1530 | 1531 | 1532 | 1533 | 1534 | 1535 | 1536 | 1537 | 1538 | 1539 | 1540 | 1541 | 1542 | 1543 | 1544 | 1545 | 1546 | 1547 | 1548 | 1549 | 1550 | 1551 | 1552 | 1553 | 1554 | 1555 | 1556 | 1557 | 1558 | 1559 | 1560 | 1561 | 1562 | 1563 | 1564 | 1565 | 1566 | 1567 | 1568 | 1569 | 1570 | 1571 | 1572 | 1573 | 1574 | 1575 | 1576 | 1577 | 1578 | 1579 | 1580 | 1581 | 1582 | 1583 | 1584 | 1585 | 1586 | 1587 | 1588 | 1589 | 1590 | 1591 | 1592 | 1593 | 1594 | 1595 | 1596 | 1597 | 1598 | 1599 | 1600 | 1601 | 1602 | 1603 | 1604 | 1605 | 1606 | 1607 | 1608 | 1609 | 1610 | 1611 | 1612 | 1613 | 1614 | 1615 | 1616 | 1617 | -------------------------------------------------------------------------------- /oursentiment.csv: -------------------------------------------------------------------------------- 1 | file,P,N,NET,SENTIMENT 2 | "1-22nd Century Group, Inc..txt",11,1,10,POSITIVE 3 | "1001-Matson, Inc..txt",24,2,22,POSITIVE 4 | 1002-Mead Johnson Nutrition Co.txt,30,3,27,POSITIVE 5 | "1007-Mondelez International, Inc..txt",31,7,24,POSITIVE 6 | "1008-Motorola Solutions, Inc..txt",26,5,21,POSITIVE 7 | 1009-Murphy USA Inc..txt,20,3,17,POSITIVE 8 | 101-APPLIED MATERIALS INC DE.txt,38,4,34,POSITIVE 9 | 1010-NACCO INDUSTRIES INC.txt,20,5,15,POSITIVE 10 | 1011-NANOMETRICS INC.txt,16,1,15,POSITIVE 11 | 1014-NATIONAL BANKSHARES INC.txt,19,1,18,POSITIVE 12 | 1017-NATIONAL PENN BANCSHARES INC.txt,17,4,13,POSITIVE 13 | "1018-NATIONAL RETAIL PROPERTIES, INC..txt",30,4,26,POSITIVE 14 | 102-APTARGROUP INC.txt,32,4,28,POSITIVE 15 | 1020-NATURES SUNSHINE PRODUCTS INC.txt,23,6,17,POSITIVE 16 | "1021-NAUTILUS, INC..txt",19,1,18,POSITIVE 17 | 1025-NEW YORK MORTGAGE TRUST INC.txt,32,4,28,POSITIVE 18 | 1027-NEWFIELD EXPLORATION CO DE.txt,26,6,20,POSITIVE 19 | 1029-NEWMARKET CORP.txt,25,1,24,POSITIVE 20 | 1035-NOBLE ENERGY INC.txt,29,6,23,POSITIVE 21 | 1036-NOODLES _ Co.txt,0,0,0,NEUTRAL 22 | "104-AQUINOX PHARMACEUTICALS, INC.txt",3,0,3,POSITIVE 23 | 1042-NORTHEAST UTILITIES.txt,33,4,29,POSITIVE 24 | 1048-NORWOOD FINANCIAL CORP.txt,20,1,19,POSITIVE 25 | "1051-NRG Yield, Inc..txt",0,0,0,NEUTRAL 26 | 1052-NUCOR CORP.txt,14,5,9,POSITIVE 27 | 107-ARCBEST CORP DE.txt,34,4,30,POSITIVE 28 | 1073-NVR INC.txt,29,1,28,POSITIVE 29 | "1075-National CineMedia, Inc..txt",20,4,16,POSITIVE 30 | 1082-Noble Corp plc.txt,27,6,21,POSITIVE 31 | 110-ARCHER DANIELS MIDLAND CO.txt,44,6,38,POSITIVE 32 | "1111-Nuverra Environmental Solutions, Inc..txt",21,3,18,POSITIVE 33 | 1112-O REILLY AUTOMOTIVE INC.txt,18,1,17,POSITIVE 34 | 1114-OCEANFIRST FINANCIAL CORP.txt,16,3,13,POSITIVE 35 | 1115-OFG BANCORP.txt,14,1,13,POSITIVE 36 | 1116-OGE ENERGY CORP..txt,22,7,15,POSITIVE 37 | 1117-OLD NATIONAL BANCORP IN.txt,38,6,32,POSITIVE 38 | 1119-OLIN CORP.txt,26,5,21,POSITIVE 39 | 1120-OLYMPIC STEEL INC.txt,22,6,16,POSITIVE 40 | 1121-OMNOVA SOLUTIONS INC.txt,30,5,25,POSITIVE 41 | 1125-ORBCOMM Inc..txt,23,2,21,POSITIVE 42 | 1130-Oasis Petroleum Inc..txt,36,4,32,POSITIVE 43 | 1137-Otter Tail Corp.txt,20,3,17,POSITIVE 44 | 1138-Owens Corning.txt,26,5,21,POSITIVE 45 | 1139-PACCAR INC.txt,29,3,26,POSITIVE 46 | 1143-PACIFIC GAS _ ELECTRIC Co.txt,22,5,17,POSITIVE 47 | 1145-PAM TRANSPORTATION SERVICES INC.txt,12,1,11,POSITIVE 48 | 1148-PARAGON OFFSHORE PLC.txt,25,4,21,POSITIVE 49 | 1151-PARKER DRILLING CO DE.txt,31,8,23,POSITIVE 50 | 1157-PEABODY ENERGY CORP.txt,22,6,16,POSITIVE 51 | 1158-PEAPACK GLADSTONE FINANCIAL CORP.txt,29,3,26,POSITIVE 52 | 1159-PENNS WOODS BANCORP INC.txt,11,4,7,POSITIVE 53 | 1161-PENTAIR plc.txt,22,6,16,POSITIVE 54 | 1164-PEOPLES FINANCIAL CORP MS.txt,7,0,7,POSITIVE 55 | 1168-PFIZER INC.txt,34,7,27,POSITIVE 56 | 1172-PIEDMONT NATURAL GAS CO INC.txt,33,1,32,POSITIVE 57 | 1182-PITNEY BOWES INC DE.txt,34,7,27,POSITIVE 58 | 1184-PLUM CREEK TIMBER CO INC.txt,33,7,26,POSITIVE 59 | 1185-PLY GEM HOLDINGS INC.txt,11,3,8,POSITIVE 60 | 1186-PMC SIERRA INC.txt,28,6,22,POSITIVE 61 | 1190-POOL CORP.txt,32,2,30,POSITIVE 62 | 1191-POPULAR INC.txt,37,6,31,POSITIVE 63 | 1192-PORTLAND GENERAL ELECTRIC CO OR.txt,25,6,19,POSITIVE 64 | 1192-POWELL INDUSTRIES INC.txt,26,3,23,POSITIVE 65 | 1201-PPG INDUSTRIES INC.txt,40,4,36,POSITIVE 66 | 1203-PREFERRED APARTMENT COMMUNITIES INC.txt,30,1,29,POSITIVE 67 | 1204-PREFORMED LINE PRODUCTS CO.txt,23,1,22,POSITIVE 68 | 1206-PRICE T ROWE GROUP INC.txt,31,5,26,POSITIVE 69 | 1210-PROGRESSIVE CORP OH.txt,26,4,22,POSITIVE 70 | 1214-PRUDENTIAL FINANCIAL INC.txt,36,4,32,POSITIVE 71 | 1217-PTC INC..txt,31,2,29,POSITIVE 72 | 1218-PUBLIC SERVICE ENTERPRISE GROUP INC.txt,34,3,31,POSITIVE 73 | 1219-PUBLIX SUPER MARKETS INC.txt,16,2,14,POSITIVE 74 | 1220-PULTEGROUP INC MI.txt,29,4,25,POSITIVE 75 | 123-ASSOCIATED BANC-CORP(1).txt,25,5,20,POSITIVE 76 | 123-ASSOCIATED BANC-CORP.txt,25,5,20,POSITIVE 77 | "1231-Pathdiner Bancorp, Inc..txt",0,0,0,NEUTRAL 78 | "1233-People's United Financial, Inc..txt",31,5,26,POSITIVE 79 | 1238-Physicians Realty Trust.txt,0,0,0,NEUTRAL 80 | "1239-Piedmont Office Realty Trust, Inc..txt",24,4,20,POSITIVE 81 | 1262-QUAKER CHENICAL CORP.txt,34,5,29,POSITIVE 82 | 1263 - QUALCOMM INC DE.txt,22,3,19,POSITIVE 83 | 1264 - QUICKLOGIC CORPORATION.txt,17,9,8,POSITIVE 84 | 1266 - Quanex Building Products CORP.txt,15,3,12,POSITIVE 85 | 1269 - RAMCO GERSHENSON PROPERTIES TRUST.txt,30,4,26,POSITIVE 86 | 127-AT_T INC..txt,25,5,20,POSITIVE 87 | 1270 - RAND CAPITAL CORP.txt,12,2,10,POSITIVE 88 | 1271 - RAYMOND JAMES FINANCIAL INC.txt,52,2,50,POSITIVE 89 | 1275 - REALOGY HOLDINGS CORP..txt,25,9,16,POSITIVE 90 | 1276 - REALTY INCOME CORP.txt,35,2,33,POSITIVE 91 | 1281 - REGENCY CENTERS CORP.txt,18,3,15,POSITIVE 92 | 1286 - RETAIL OPPORTUNITY INVESTMENTS CORP.txt,20,1,19,POSITIVE 93 | 1289 - REYNOLDS AMERICAN INC.txt,41,5,36,POSITIVE 94 | 1290 - RIGEL PHARMACEUTICALS INC.txt,26,5,21,POSITIVE 95 | 1293 - RLJ Lodging Trust.txt,18,2,16,POSITIVE 96 | 1298 - ROGERS CORP.txt,16,2,14,POSITIVE 97 | 1299 - ROLLINS INC.txt,18,1,17,POSITIVE 98 | 130-AUTOLIV INC.txt,43,4,39,POSITIVE 99 | 1301 - ROWAN COMPANIES PLC.txt,20,6,14,POSITIVE 100 | "1305 - RTI SURGICAL, INC..txt",16,2,14,POSITIVE 101 | 1307 - RYLAND GROUP INC.txt,27,4,23,POSITIVE 102 | "1308 - Radius Health, Inc..txt",23,1,22,POSITIVE 103 | "1318 - Rouse Properties, Inc..txt",23,3,20,POSITIVE 104 | "132-AVIAT NETWORKS, INC..txt",11,6,5,POSITIVE 105 | 1324 - SANDERSON FARMS INC.txt,39,4,35,POSITIVE 106 | 1326 - SANMINA CORP.txt,18,2,16,POSITIVE 107 | 1328 - SAUL CENTERS INC.txt,4,1,3,POSITIVE 108 | 1331 - SCHLUMBERGER LTD NV.txt,46,7,39,POSITIVE 109 | 1335 - SEABOARD CORP DE.txt,8,2,6,POSITIVE 110 | 1339 - SELECT MEDICAL HOLDINGS CORP.txt,19,4,15,POSITIVE 111 | 1340 - SELECTIVE INSURANCE GROUP INC.txt,33,6,27,POSITIVE 112 | 1342 - SENIOR HOUSING PROPERTIES TRUST.txt,4,3,1,POSITIVE 113 | 1348 - SHERWIN WILLIAMS CO.txt,29,4,25,POSITIVE 114 | 135-AVISTA CORP.txt,17,5,12,POSITIVE 115 | 1350 - SHORE BANCSHARES INC.txt,14,2,12,POSITIVE 116 | 1352 - SILICON LABORATORIES INC.txt,33,2,31,POSITIVE 117 | "1353 - SILVER BULL RESOURCES, INC..txt",13,1,12,POSITIVE 118 | 1359 - SMITH A O CORP.txt,15,1,14,POSITIVE 119 | 1360 - SNAP-ON Inc.txt,33,4,29,POSITIVE 120 | 1362 - SONIC AUTOMOTIVE INC.txt,13,3,10,POSITIVE 121 | 1363 - SONIC FOUNDRY INC.txt,27,0,27,POSITIVE 122 | 1364 - SONOCO PRODUCTS CO.txt,28,5,23,POSITIVE 123 | 1365 - SOTHEBYS.txt,31,6,25,POSITIVE 124 | 1366 - SOUTH JERSEY INDUSTRIES INC.txt,38,6,32,POSITIVE 125 | 1369 - SOUTHERN COPPER CORP.txt,20,4,16,POSITIVE 126 | 1372 - SOUTHWEST GAS CORP.txt,37,2,35,POSITIVE 127 | 1374 - SPAN AMERICA MEDICAL SYSTEMS INC.txt,21,5,16,POSITIVE 128 | 1377 - SPS COMMERCE INC.txt,27,2,25,POSITIVE 129 | 1378 - SPX CORP.txt,31,6,25,POSITIVE 130 | 138-AbbVie Inc..txt,37,6,31,POSITIVE 131 | 1380 - ST JUDE MEDICAL INC.txt,24,5,19,POSITIVE 132 | "1385 - STANLEY BLACK _ DECKER, INC..txt",41,2,39,POSITIVE 133 | 1386 - STARBUCKS CORP.txt,0,0,0,NEUTRAL 134 | 1391 - STEEL DYNAMICS INC.txt,33,2,31,POSITIVE 135 | "1396 - STR HOLDINGS, INC..txt",12,6,6,POSITIVE 136 | 1398 - STRAYER EDUCATION INC.txt,28,2,26,POSITIVE 137 | "140-Advanced BioEnergy, LLC.txt",6,1,5,POSITIVE 138 | 1401 - STURM RUGER _ CO INC.txt,22,6,16,POSITIVE 139 | 1403 - SUNTRUST BANKS INC.txt,27,5,22,POSITIVE 140 | 1407 - SVB FINANCIAL GROUP.txt,36,5,31,POSITIVE 141 | 1408 - SYNNEX CORP.txt,36,4,32,POSITIVE 142 | 1409 - SYNOPSYS INC.txt,29,7,22,POSITIVE 143 | 1410 - SYNOVUS FINANCIAL CORP.txt,32,4,28,POSITIVE 144 | 1414 - Select Income REIT.txt,3,3,0,NEUTRAL 145 | 1415 - SemiLEDs Corp.txt,0,1,-1,NEGATIVE 146 | "1419 - Smart _ Final Stores, Inc..txt",21,2,19,POSITIVE 147 | 1423 - Spectra Energy Corp..txt,40,3,37,POSITIVE 148 | "1426 - StarTek, Inc..txt",20,3,17,POSITIVE 149 | "1427 - Stellar Biotechnologies, Inc..txt",10,3,7,POSITIVE 150 | 1437 - Symetra Financial CORP.txt,23,4,19,POSITIVE 151 | "1438 - Synutra International, Inc..txt",6,0,6,POSITIVE 152 | "1441 - TAL International Group, Inc..txt",15,2,13,POSITIVE 153 | 1445 - TD AMERITRADE HOLDING CORP.txt,21,5,16,POSITIVE 154 | 1446 - TE Connectivity Ltd..txt,33,5,28,POSITIVE 155 | 1449 - TECUMSEH PRODUCTS CO.txt,17,4,13,POSITIVE 156 | 1451 - TELEDYNE TECHNOLOGIES INC.txt,37,3,34,POSITIVE 157 | 1454 - TENET HEALTHCARE CORP.txt,36,5,31,POSITIVE 158 | 1455 - TENNANT CO.txt,22,5,17,POSITIVE 159 | 1458 - TESSERA TECHNOLOGIES INC.txt,33,3,30,POSITIVE 160 | "146-Alon USA Energy, Inc..txt",12,4,8,POSITIVE 161 | 1460 - TETRA TECHNOLOGIES INC.txt,27,6,21,POSITIVE 162 | 1462 - TEXTRON INC.txt,26,4,22,POSITIVE 163 | 1465 - THORATEC CORP.txt,31,3,28,POSITIVE 164 | 1468 - TOLL BROTHERS INC.txt,25,0,25,POSITIVE 165 | 147-Altra Industrial Motion Corp..txt,14,2,12,POSITIVE 166 | 1471 - TORCHMARK CORP.txt,17,3,14,POSITIVE 167 | 1473 - TOTAL SYSTEM SERVICES INC.txt,30,3,27,POSITIVE 168 | 1474 - TRACTOR SUPPLY CO DE.txt,30,3,27,POSITIVE 169 | 1475 - TRAVELCENTERS OF AMERICA LLC.txt,14,2,12,POSITIVE 170 | 1476 - TRAVELZOO INC.txt,14,1,13,POSITIVE 171 | "1478 - TRI Pointe Homes, Inc..txt",18,3,15,POSITIVE 172 | 1480 - TRIMBLE NAVIGATION LTD CA.txt,12,4,8,POSITIVE 173 | 1482 - TRUSTMARK CORP.txt,35,6,29,POSITIVE 174 | 1487 - TYLER TECHNOLOGIES INC.txt,35,3,32,POSITIVE 175 | 1490 - Terreno Realty Corp.txt,17,1,16,POSITIVE 176 | 1493 - Third Point Reinsurance Ltd..txt,25,2,23,POSITIVE 177 | 1500 - Transocean Ltd..txt,37,7,30,POSITIVE 178 | "1504 - Triumph Bancorp, Inc..txt",5,0,5,POSITIVE 179 | "1505 - Tropicana Las Vegas Hotel _ Casino, Inc..txt",13,1,12,POSITIVE 180 | 1509 - UMPQUA HOLDINGS CORP.txt,37,3,34,POSITIVE 181 | 151-American Electric Technologies Inc.txt,8,0,8,POSITIVE 182 | 1516 - UNITED FIRE GROUP INC.txt,22,4,18,POSITIVE 183 | 1520 - UNITED STATES LIME _ MINERALS INC.txt,15,1,14,POSITIVE 184 | 1521 - UNITED STATES STEEL CORP.txt,32,6,26,POSITIVE 185 | 1525 - UNIVERSAL FOREST PRODUCTS INC.txt,8,1,7,POSITIVE 186 | 1528 - URSTADT BIDDLE PROPERTIES INC.txt,15,2,13,POSITIVE 187 | 1530 - US CONCRETE INC.txt,23,4,19,POSITIVE 188 | 1531 - USANA HEALTH SCIENCES INC.txt,24,1,23,POSITIVE 189 | 1532 - UTAH MEDICAL PRODUCTS INC.txt,19,3,16,POSITIVE 190 | 1535 - Uni-Pixel.txt,7,0,7,POSITIVE 191 | "1537 - United Financial Bancorp, Inc..txt",35,4,31,POSITIVE 192 | 1539 - V F CORP.txt,35,5,30,POSITIVE 193 | 1549 - VCA INC.txt,39,5,34,POSITIVE 194 | 1550 - VECTREN CORP.txt,17,5,12,POSITIVE 195 | "1566 - Vectrus, Inc..txt",23,1,22,POSITIVE 196 | 1567 - Vericel Corp.txt,16,2,14,POSITIVE 197 | 1569 - Viacom Inc..txt,34,6,28,POSITIVE 198 | 1570 - Vulcan Materials CO.txt,24,2,22,POSITIVE 199 | 1572 - W_T OFFSHORE INC.txt,17,4,13,POSITIVE 200 | 1575 - WALT DISNEY CO.txt,37,5,32,POSITIVE 201 | 1579 - WASTE MANAGEMENT INC.txt,26,5,21,POSITIVE 202 | 1580 - WATTS WATER TECHNOLOGIES INC.txt,37,4,33,POSITIVE 203 | 1587 - WEST BANCORPORATION INC.txt,13,3,10,POSITIVE 204 | 1589 - WESTAMERICA BANCORPORATION.txt,22,3,19,POSITIVE 205 | 1597 - WHIRLPOOL CORP DE.txt,31,4,27,POSITIVE 206 | 1598 - WILSON BANK HOLDING CO.txt,9,3,6,POSITIVE 207 | 16-ABM INDUSTRIES INC DE.txt,30,3,27,POSITIVE 208 | 160-Avery Dennison Corp.txt,42,7,35,POSITIVE 209 | "1600 - WINDSTREAM HOLDINGS, INC..txt",23,4,19,POSITIVE 210 | 1601 - WINMARK CORP.txt,14,2,12,POSITIVE 211 | 1605 - WOLVERINE WORLD WIDE INC DE.txt,26,1,25,POSITIVE 212 | 1606 - WORLD WRESTLING ENTERTAINMENTINC.txt,24,5,19,POSITIVE 213 | "1609 - Walter Energy, Inc..txt",25,4,21,POSITIVE 214 | "1611 - Waterstone Financial, Inc..txt",13,2,11,POSITIVE 215 | 1616 - Whitestone REIT.txt,20,1,19,POSITIVE 216 | 1617 - XL GROUP PLC.txt,45,4,41,POSITIVE 217 | 1627 - ZIMMER HOLDINGS INC.txt,38,5,33,POSITIVE 218 | 167-BALL CORP.txt,1,0,1,POSITIVE 219 | 169-BANK MUTUAL CORP.txt,37,4,33,POSITIVE 220 | 170-BANK OF AMERICA CORP DE.txt,39,5,34,POSITIVE 221 | 171-BANK OF HAWAII CORP.txt,28,3,25,POSITIVE 222 | 18-ACCURIDE CORP.txt,22,3,19,POSITIVE 223 | 182-BCB BANCORP INC.txt,6,3,3,POSITIVE 224 | 183-BEACON ROOFING SUPPLY INC.txt,19,3,16,POSITIVE 225 | 184-BEMIS CO INC.txt,19,1,18,POSITIVE 226 | 185-BERKSHIRE HATHAWAY INC.txt,4,2,2,POSITIVE 227 | 192-BLACK HILLS CORP SD.txt,22,1,21,POSITIVE 228 | 206-BOSTON PRIVATE FINANCIAL HOLDINGS INC.txt,52,4,48,POSITIVE 229 | 21-ACTIVE POWER INC(1).txt,19,4,15,POSITIVE 230 | 21-ACTIVE POWER INC.txt,19,4,15,POSITIVE 231 | 210-BRIGHT HORIZONS FAMILY SOLUTIONS INC..txt,26,3,23,POSITIVE 232 | 211-BRINKS CO.txt,32,4,28,POSITIVE 233 | 212-BRISTOL MYERS SQUIBB CO.txt,40,4,36,POSITIVE 234 | 213-BROADCOM CORP.txt,39,3,36,POSITIVE 235 | 221-BRT REALTY TRUST.txt,19,3,16,POSITIVE 236 | 223-BRYN MAWR BANK CORP.txt,32,6,26,POSITIVE 237 | 237-Bourbon Brothers Holding Corp.txt,2,0,2,POSITIVE 238 | "238-Bravo Brio Restaurant Group, Inc..txt",0,0,0,NEUTRAL 239 | "24-ADAMS RESOURCES _ ENERGY, INC..txt",15,7,8,POSITIVE 240 | "244-C1 Financial, Inc..txt",14,0,14,POSITIVE 241 | 245-CABOT CORP.txt,37,4,33,POSITIVE 242 | 246-CABOT MICROELECTRONICS CORP.txt,39,7,32,POSITIVE 243 | 251-CALPINE CORP.txt,19,2,17,POSITIVE 244 | 253-CAMDEN NATIONAL CORP.txt,21,2,19,POSITIVE 245 | 258-CAPITAL ONE FINANCIAL CORP.txt,36,6,30,POSITIVE 246 | 26-ADOBE SYSTEMS INC.txt,26,4,22,POSITIVE 247 | 262-CARLISLE COMPANIES INC.txt,18,4,14,POSITIVE 248 | 268-CASS INFORMATION SYSTEMS INC.txt,24,3,21,POSITIVE 249 | 27-ADT Corp.txt,24,1,23,POSITIVE 250 | 270-CBL _ ASSOCIATES PROPERTIES INC.txt,27,1,26,POSITIVE 251 | "272-CEDAR REALTY TRUST, INC..txt",26,3,23,POSITIVE 252 | 273-CENTENE CORP.txt,26,2,24,POSITIVE 253 | 276-CENTRAL PACIFIC FINANCIAL CORP.txt,19,1,18,POSITIVE 254 | 279-CEPHEID.txt,37,2,35,POSITIVE 255 | 28-ADVANCED ENERGY INDUSTRIES INC.txt,18,4,14,POSITIVE 256 | 284-CHARLES RIVER LABORATORIES INTERNATIONAL INC.txt,36,4,32,POSITIVE 257 | "287-CHARTER COMMUNICATIONS, INC. MO .txt",25,5,20,POSITIVE 258 | 288-CHEMICAL FINANCIAL CORP.txt,4,0,4,POSITIVE 259 | 289-CHEMUNG FINANCIAL CORP.txt,13,1,12,POSITIVE 260 | 291-CHICAGO BRIDGE _ IRON CO N V.txt,18,3,15,POSITIVE 261 | "294-CHINA JO-JO DRUGSTORES, INC..txt",4,0,4,POSITIVE 262 | 295-CHIPOTLE MEXICAN GRILL INC.txt,24,1,23,POSITIVE 263 | 298-CHUBB CORP.txt,25,6,19,POSITIVE 264 | 300-CHURCHILL DOWNS INC.txt,24,4,20,POSITIVE 265 | 303-CINCINNATI BELL INC.txt,33,4,29,POSITIVE 266 | 310-CITIZENS FINANCIAL SERVICES INC.txt,22,3,19,POSITIVE 267 | 312-CITY HOLDING CO.txt,31,5,26,POSITIVE 268 | 317-CLEVELAND BIOLABS INC.txt,22,4,18,POSITIVE 269 | 318-CLOUD PEAK ENERGY INC..txt,23,4,19,POSITIVE 270 | 319-CMS ENERGY CORP.txt,22,2,20,POSITIVE 271 | 320-CNA FINANCIAL CORP.txt,16,6,10,POSITIVE 272 | 321-CNB FINANCIAL CORP PA.txt,15,5,10,POSITIVE 273 | 323-COBIZ FINANCIAL INC.txt,26,5,21,POSITIVE 274 | 324-COCA COLA BOTTLING CO CONSOLIDATED DE.txt,9,3,6,POSITIVE 275 | 327-COFFEE HOLDING CO INC.txt,0,0,0,NEUTRAL 276 | "328-COGENT COMMUNICATIONS HOLDINGS, INC..txt",23,3,20,POSITIVE 277 | 329-COGNEX CORP.txt,21,4,17,POSITIVE 278 | 33-AECOM.txt,35,1,34,POSITIVE 279 | 330-COHEN _ STEERS INC.txt,21,4,17,POSITIVE 280 | 335-COHERENT INC.txt,16,8,8,POSITIVE 281 | 336-COLGATE PALMOLIVE CO.txt,33,6,27,POSITIVE 282 | 34-AEP INDUSTRIES INC.txt,27,8,19,POSITIVE 283 | 342.COMERICA INC NEW.txt,30,6,24,POSITIVE 284 | 346-COMPASS MINERALS INTERNATIONAL INC.txt,24,3,21,POSITIVE 285 | "346-PASSUR Aerospace, Inc..txt",13,0,13,POSITIVE 286 | 348-CONNECTICUT WATER SERVICE INC CT.txt,20,2,18,POSITIVE 287 | 350-CONSOL Energy Inc.txt,20,4,16,POSITIVE 288 | 354-COOPER COMPANIES INC.txt,41,5,36,POSITIVE 289 | 356-CORE LABORATORIES N V.txt,21,2,19,POSITIVE 290 | 359-CORPORATE OFFICE PROPERTIES TRUST.txt,25,5,20,POSITIVE 291 | 361-COTT CORP CN.txt,24,4,20,POSITIVE 292 | 364-COVANTA HOLDING CORP.txt,28,6,22,POSITIVE 293 | 365-CPS TECHNOLOGIES CORP DE.txt,19,4,15,POSITIVE 294 | 369-CROWN HOLDINGS INC.txt,21,3,18,POSITIVE 295 | 37-AES CORP.txt,6,5,1,POSITIVE 296 | 371-CSX CORP.txt,26,7,19,POSITIVE 297 | "374-CULLEN FROST BANKERS, INC..txt",29,4,25,POSITIVE 298 | 375-CUMMINS INC.txt,29,2,27,POSITIVE 299 | 38-AFFYMETRIX INC.txt,38,2,36,POSITIVE 300 | 380-CYTEC INDUSTRIES INC DE.txt,22,2,20,POSITIVE 301 | 383-Caesars Acquisition Co.txt,4,1,3,POSITIVE 302 | 389-Catamaran Corp.txt,35,1,34,POSITIVE 303 | 390-Celanese Corp.txt,36,4,32,POSITIVE 304 | "391-CenterState Banks, Inc..txt",28,4,24,POSITIVE 305 | "396-Childrens Place, Inc..txt",36,6,30,POSITIVE 306 | "400-Civitas Solutions, Inc..txt",26,4,22,POSITIVE 307 | 421.txt,17,5,12,POSITIVE 308 | 423.txt,23,2,21,POSITIVE 309 | 43-AGILENT TECHNOLOGIES INC.txt,27,6,21,POSITIVE 310 | 437.txt,19,1,18,POSITIVE 311 | 438.txt,20,0,20,POSITIVE 312 | 44-AGL RESOURCES INC.txt,24,6,18,POSITIVE 313 | 440.txt,28,3,25,POSITIVE 314 | 459.txt,39,4,35,POSITIVE 315 | 464.txt,20,2,18,POSITIVE 316 | 473.txt,40,3,37,POSITIVE 317 | 474.txt,28,2,26,POSITIVE 318 | 475.txt,17,7,10,POSITIVE 319 | 476.txt,2,0,2,POSITIVE 320 | 478.txt,31,2,29,POSITIVE 321 | 479.txt,33,2,31,POSITIVE 322 | 481.txt,8,2,6,POSITIVE 323 | 482.txt,44,7,37,POSITIVE 324 | 484.txt,20,2,18,POSITIVE 325 | 485.txt,34,2,32,POSITIVE 326 | 487.txt,35,3,32,POSITIVE 327 | 488.txt,27,5,22,POSITIVE 328 | 490.txt,31,4,27,POSITIVE 329 | 492.txt,1,0,1,POSITIVE 330 | 496.txt,8,1,7,POSITIVE 331 | 497.txt,24,4,20,POSITIVE 332 | 499.txt,25,6,19,POSITIVE 333 | "5-A-Mark Precious Metals, Inc..txt",16,5,11,POSITIVE 334 | 50-ALICO INC.txt,11,2,9,POSITIVE 335 | 501.txt,23,2,21,POSITIVE 336 | 502.txt,42,6,36,POSITIVE 337 | 513.txt,21,4,17,POSITIVE 338 | 517.txt,28,2,26,POSITIVE 339 | 519.txt,11,4,7,POSITIVE 340 | 52-ALLEGHENY TECHNOLOGIES INC.txt,33,7,26,POSITIVE 341 | 520.txt,15,3,12,POSITIVE 342 | 521.txt,24,5,19,POSITIVE 343 | 523.txt,30,1,29,POSITIVE 344 | 524.txt,16,7,9,POSITIVE 345 | 529.txt,19,5,14,POSITIVE 346 | 53-ALLETE INC.txt,33,4,29,POSITIVE 347 | 538.txt,26,4,22,POSITIVE 348 | 548.txt,25,2,23,POSITIVE 349 | 550.txt,25,6,19,POSITIVE 350 | 563.txt,12,3,9,POSITIVE 351 | 565.txt,32,3,29,POSITIVE 352 | 573.txt,11,2,9,POSITIVE 353 | 579.txt,7,2,5,POSITIVE 354 | 580.txt,15,5,10,POSITIVE 355 | 586.txt,14,0,14,POSITIVE 356 | 600.txt,27,7,20,POSITIVE 357 | 603.txt,12,1,11,POSITIVE 358 | 605.txt,20,5,15,POSITIVE 359 | 608.txt,7,2,5,POSITIVE 360 | 610.txt,20,3,17,POSITIVE 361 | 611.txt,36,4,32,POSITIVE 362 | 628.txt,7,3,4,POSITIVE 363 | 632.txt,29,5,24,POSITIVE 364 | 634.txt,26,6,20,POSITIVE 365 | 636.txt,36,6,30,POSITIVE 366 | 641.txt,27,6,21,POSITIVE 367 | 642.txt,11,1,10,POSITIVE 368 | 648.txt,30,3,27,POSITIVE 369 | 654.txt,1,0,1,POSITIVE 370 | 657.txt,17,1,16,POSITIVE 371 | 667.txt,32,1,31,POSITIVE 372 | 671.txt,1,1,0,NEUTRAL 373 | 684.txt,35,3,32,POSITIVE 374 | 687.txt,18,3,15,POSITIVE 375 | "69-AMC ENTERTAINMENT HOLDINGS, INC..txt",22,5,17,POSITIVE 376 | 690.txt,35,7,28,POSITIVE 377 | 694.txt,21,1,20,POSITIVE 378 | 697.txt,41,3,38,POSITIVE 379 | 699.txt,0,0,0,NEUTRAL 380 | 7-ABBOTT LABORATORIES.txt,32,2,30,POSITIVE 381 | 70-AMEREN CORP.txt,20,5,15,POSITIVE 382 | 701.txt,15,2,13,POSITIVE 383 | 703.txt,15,1,14,POSITIVE 384 | 704.txt,23,6,17,POSITIVE 385 | 705.txt,27,5,22,POSITIVE 386 | 708.txt,22,4,18,POSITIVE 387 | 709.txt,14,3,11,POSITIVE 388 | 71-AMERICAN AXLE _ MANUFACTURING HOLDINGS INC.txt,32,3,29,POSITIVE 389 | 710.txt,28,8,20,POSITIVE 390 | 713.txt,20,5,15,POSITIVE 391 | 718.txt,8,1,7,POSITIVE 392 | 724.txt,26,5,21,POSITIVE 393 | 727.txt,9,2,7,POSITIVE 394 | 729.txt,24,7,17,POSITIVE 395 | 734.txt,14,2,12,POSITIVE 396 | 735.txt,23,3,20,POSITIVE 397 | 736.txt,28,3,25,POSITIVE 398 | 738.txt,0,0,0,NEUTRAL 399 | 74-AMERICAN CAMPUS COMMUNITIES INC.txt,26,5,21,POSITIVE 400 | 744.txt,6,1,5,POSITIVE 401 | 745.txt,17,1,16,POSITIVE 402 | 746.txt,44,5,39,POSITIVE 403 | 749.txt,26,4,22,POSITIVE 404 | "75-AMERICAN CAPITAL, LTD.txt",26,4,22,POSITIVE 405 | 751.txt,21,5,16,POSITIVE 406 | 752.txt,18,5,13,POSITIVE 407 | 753.txt,23,4,19,POSITIVE 408 | 755.txt,14,3,11,POSITIVE 409 | 759.txt,33,3,30,POSITIVE 410 | 76-AMERICAN ELECTRIC POWER CO INC.txt,27,2,25,POSITIVE 411 | 761.txt,35,3,32,POSITIVE 412 | 767.txt,15,5,10,POSITIVE 413 | 770.txt,6,4,2,POSITIVE 414 | 771.txt,54,6,48,POSITIVE 415 | 772.txt,33,4,29,POSITIVE 416 | 773.txt,3,3,0,NEUTRAL 417 | 774.txt,36,7,29,POSITIVE 418 | 781.txt,17,4,13,POSITIVE 419 | 783.txt,17,4,13,POSITIVE 420 | 784.txt,21,6,15,POSITIVE 421 | 786.txt,3,0,3,POSITIVE 422 | 788.txt,17,1,16,POSITIVE 423 | 791.txt,25,5,20,POSITIVE 424 | 794.txt,17,3,14,POSITIVE 425 | 806.txt,16,4,12,POSITIVE 426 | 808.txt,10,2,8,POSITIVE 427 | 813.txt,16,4,12,POSITIVE 428 | 815.txt,17,3,14,POSITIVE 429 | 819.txt,24,3,21,POSITIVE 430 | 820.txt,27,5,22,POSITIVE 431 | 822.txt,2,0,2,POSITIVE 432 | 824.txt,1,0,1,POSITIVE 433 | 827.txt,11,0,11,POSITIVE 434 | 829.txt,36,5,31,POSITIVE 435 | 83-AMERISERV FINANCIAL INC PA.txt,7,1,6,POSITIVE 436 | 836.txt,17,2,15,POSITIVE 437 | 84-AMERISOURCEBERGEN CORP.txt,32,3,29,POSITIVE 438 | 840.txt,6,0,6,POSITIVE 439 | 844.txt,10,1,9,POSITIVE 440 | 846.txt,34,4,30,POSITIVE 441 | 850.txt,21,2,19,POSITIVE 442 | 855-LCNV CORP.txt,12,3,9,POSITIVE 443 | 859.txt,51,4,47,POSITIVE 444 | 864.txt,16,2,14,POSITIVE 445 | 866.txt,30,5,25,POSITIVE 446 | 867.txt,28,7,21,POSITIVE 447 | "869-KINDER MORGAN, INC..txt",15,5,10,POSITIVE 448 | 870-KIRBY CORP.txt,39,4,35,POSITIVE 449 | 874-KONA GRILL INC.txt,29,2,27,POSITIVE 450 | "876-Keysight Technologies, Inc..txt",20,5,15,POSITIVE 451 | 88-AMN HEALTHCARE SERVICES INC.txt,40,5,35,POSITIVE 452 | 887-LEAR CORP.txt,35,1,34,POSITIVE 453 | "889-LEE ENTERPRISES, INC.txt",30,4,26,POSITIVE 454 | 890-LEGACY RESERVES LP.txt,21,3,18,POSITIVE 455 | "893-LEXICON PHARMACEUTICALS, INC..txt",16,1,15,POSITIVE 456 | 896-LIBBEY INC.txt,28,3,25,POSITIVE 457 | 899-LILLY ELI _ CO.txt,32,4,28,POSITIVE 458 | 900-LINCOLN EDUCATIONAL SERVICES CORP.txt,16,4,12,POSITIVE 459 | "902-LINN ENERGY, LLC.txt",23,5,18,POSITIVE 460 | 903-LIONBRIDGE TECHNOLOGIES INC DE.txt,31,5,26,POSITIVE 461 | 904-LIQUIDITY SERVICES INC.txt,18,7,11,POSITIVE 462 | 906-LITHIA MOTORS INC.txt,22,4,18,POSITIVE 463 | 907-LITTELFUSE INC DE.txt,22,4,18,POSITIVE 464 | 911-LOCKHEED MARTIN CORP.txt,37,6,31,POSITIVE 465 | 912-LOEWS CORP.txt,20,4,16,POSITIVE 466 | 914-LPL Financial Holdings Inc..txt,43,2,41,POSITIVE 467 | 920-LaSalle Hotel Properties.txt,33,4,29,POSITIVE 468 | 925-Limoneira CO.txt,16,1,15,POSITIVE 469 | 928-Lumos Networks Corp..txt,17,6,11,POSITIVE 470 | 93-COMPENSATION DISCUSSION AND ANALYSIS.txt,7,0,7,POSITIVE 471 | 930-LyondellBasell Industries N.V..txt,37,6,31,POSITIVE 472 | 935-MAGELLAN MIDSTREAM PARTNERS LP.txt,3,0,3,POSITIVE 473 | 936-MAINSOURCE FINANCIAL GROUP.txt,14,1,13,POSITIVE 474 | 94-ANALOG DEVICES INC.txt,29,5,24,POSITIVE 475 | 941-MARATHON OIL CORP.txt,20,3,17,POSITIVE 476 | 944-MARINEMAX INC.txt,16,6,10,POSITIVE 477 | 945-MARINUS PARMACEUTICALS INC.txt,15,1,14,POSITIVE 478 | 946-MARKEL CORP.txt,19,3,16,POSITIVE 479 | 948-MASONITE INTERNATIONAL CORP.txt,27,3,24,POSITIVE 480 | 953-MAXIMUS INC.txt,25,6,19,POSITIVE 481 | 957-MCCORMICK _ CO INC.txt,23,1,22,POSITIVE 482 | 959-MCGRAW HILL FINANCIAL INC.txt,24,3,21,POSITIVE 483 | 96-ANCHOR BANCORP WISCONSIN INC.txt,29,4,25,POSITIVE 484 | 961-MDU RESOURCES GROUP INC.txt,24,6,18,POSITIVE 485 | 967-METTLER TOLEDO INTERNATIONAL INC.txt,16,2,14,POSITIVE 486 | 97-ANWORTH MORTGAGE ASSET CORP.txt,8,4,4,POSITIVE 487 | 971-MGIC INVESTMENT CORP.txt,33,5,28,POSITIVE 488 | 974-MIDDLEBURG FINANCIAL CORP.txt,20,5,15,POSITIVE 489 | 975-MITEK STSTEMS INC.txt,17,5,12,POSITIVE 490 | 979-MOLINA HEALTHCARE INC.txt,16,1,15,POSITIVE 491 | 980-MONMOUTH REAL ESTATE INVESTMENT CORP.txt,22,2,20,POSITIVE 492 | 981-MOODYS CORP DE.txt,32,5,27,POSITIVE 493 | 983-MOTORCAR PARTS AMERICA INC.txt,17,2,15,POSITIVE 494 | 984-MRC GLOBAL INC..txt,19,5,14,POSITIVE 495 | 985-MSA Safety Inc.txt,25,6,19,POSITIVE 496 | 986-MSCI Inc..txt,41,3,38,POSITIVE 497 | 987-MUELLER INDUSTRIES INC.txt,20,3,17,POSITIVE 498 | 989-MURPHY OIL CORP DE.txt,27,2,25,POSITIVE 499 | 990-MUTUALFIRST FINANCIAL INC.txt,11,1,10,POSITIVE 500 | "993-Maiden Holdings, Ltd..txt",20,4,16,POSITIVE 501 | 996-Mallinckrodt plc.txt,22,2,20,POSITIVE 502 | 998-Marathon Petroleum Corp.txt,23,4,19,POSITIVE 503 | -------------------------------------------------------------------------------- /positive-words.txt: -------------------------------------------------------------------------------- 1 | a+ 2 | abound 3 | abounds 4 | abundance 5 | abundant 6 | accessable 7 | accessible 8 | acclaim 9 | acclaimed 10 | acclamation 11 | accolade 12 | accolades 13 | accommodative 14 | accomodative 15 | accomplish 16 | accomplished 17 | accomplishment 18 | accomplishments 19 | accurate 20 | accurately 21 | achievable 22 | achievement 23 | achievements 24 | achievible 25 | acumen 26 | adaptable 27 | adaptive 28 | adequate 29 | adjustable 30 | admirable 31 | admirably 32 | admiration 33 | admire 34 | admirer 35 | admiring 36 | admiringly 37 | adorable 38 | adore 39 | adored 40 | adorer 41 | adoring 42 | adoringly 43 | adroit 44 | adroitly 45 | adulate 46 | adulation 47 | adulatory 48 | advanced 49 | advantage 50 | advantageous 51 | advantageously 52 | advantages 53 | adventuresome 54 | adventurous 55 | advocate 56 | advocated 57 | advocates 58 | affability 59 | affable 60 | affably 61 | affectation 62 | affection 63 | affectionate 64 | affinity 65 | affirm 66 | affirmation 67 | affirmative 68 | affluence 69 | affluent 70 | afford 71 | affordable 72 | affordably 73 | afordable 74 | agile 75 | agilely 76 | agility 77 | agreeable 78 | agreeableness 79 | agreeably 80 | all-around 81 | alluring 82 | alluringly 83 | altruistic 84 | altruistically 85 | amaze 86 | amazed 87 | amazement 88 | amazes 89 | amazing 90 | amazingly 91 | ambitious 92 | ambitiously 93 | ameliorate 94 | amenable 95 | amenity 96 | amiability 97 | amiabily 98 | amiable 99 | amicability 100 | amicable 101 | amicably 102 | amity 103 | ample 104 | amply 105 | amuse 106 | amusing 107 | amusingly 108 | angel 109 | angelic 110 | apotheosis 111 | appeal 112 | appealing 113 | applaud 114 | appreciable 115 | appreciate 116 | appreciated 117 | appreciates 118 | appreciative 119 | appreciatively 120 | appropriate 121 | approval 122 | approve 123 | ardent 124 | ardently 125 | ardor 126 | articulate 127 | aspiration 128 | aspirations 129 | aspire 130 | assurance 131 | assurances 132 | assure 133 | assuredly 134 | assuring 135 | astonish 136 | astonished 137 | astonishing 138 | astonishingly 139 | astonishment 140 | astound 141 | astounded 142 | astounding 143 | astoundingly 144 | astutely 145 | attentive 146 | attraction 147 | attractive 148 | attractively 149 | attune 150 | audible 151 | audibly 152 | auspicious 153 | authentic 154 | authoritative 155 | autonomous 156 | available 157 | aver 158 | avid 159 | avidly 160 | award 161 | awarded 162 | awards 163 | awe 164 | awed 165 | awesome 166 | awesomely 167 | awesomeness 168 | awestruck 169 | awsome 170 | backbone 171 | balanced 172 | bargain 173 | beauteous 174 | beautiful 175 | beautifullly 176 | beautifully 177 | beautify 178 | beauty 179 | beckon 180 | beckoned 181 | beckoning 182 | beckons 183 | believable 184 | believeable 185 | beloved 186 | benefactor 187 | beneficent 188 | beneficial 189 | beneficially 190 | beneficiary 191 | benefit 192 | benefits 193 | benevolence 194 | benevolent 195 | benifits 196 | best 197 | best-known 198 | best-performing 199 | best-selling 200 | better 201 | better-known 202 | better-than-expected 203 | beutifully 204 | blameless 205 | bless 206 | blessing 207 | bliss 208 | blissful 209 | blissfully 210 | blithe 211 | blockbuster 212 | bloom 213 | blossom 214 | bolster 215 | bonny 216 | bonus 217 | bonuses 218 | boom 219 | booming 220 | boost 221 | boundless 222 | bountiful 223 | brainiest 224 | brainy 225 | brand-new 226 | brave 227 | bravery 228 | bravo 229 | breakthrough 230 | breakthroughs 231 | breathlessness 232 | breathtaking 233 | breathtakingly 234 | breeze 235 | bright 236 | brighten 237 | brighter 238 | brightest 239 | brilliance 240 | brilliances 241 | brilliant 242 | brilliantly 243 | brisk 244 | brotherly 245 | bullish 246 | buoyant 247 | cajole 248 | calm 249 | calming 250 | calmness 251 | capability 252 | capable 253 | capably 254 | captivate 255 | captivating 256 | carefree 257 | cashback 258 | cashbacks 259 | catchy 260 | celebrate 261 | celebrated 262 | celebration 263 | celebratory 264 | champ 265 | champion 266 | charisma 267 | charismatic 268 | charitable 269 | charm 270 | charming 271 | charmingly 272 | chaste 273 | cheaper 274 | cheapest 275 | cheer 276 | cheerful 277 | cheery 278 | cherish 279 | cherished 280 | cherub 281 | chic 282 | chivalrous 283 | chivalry 284 | civility 285 | civilize 286 | clarity 287 | classic 288 | classy 289 | clean 290 | cleaner 291 | cleanest 292 | cleanliness 293 | cleanly 294 | clear 295 | clear-cut 296 | cleared 297 | clearer 298 | clearly 299 | clears 300 | clever 301 | cleverly 302 | cohere 303 | coherence 304 | coherent 305 | cohesive 306 | colorful 307 | comely 308 | comfort 309 | comfortable 310 | comfortably 311 | comforting 312 | comfy 313 | commend 314 | commendable 315 | commendably 316 | commitment 317 | commodious 318 | compact 319 | compactly 320 | compassion 321 | compassionate 322 | compatible 323 | competitive 324 | complement 325 | complementary 326 | complemented 327 | complements 328 | compliant 329 | compliment 330 | complimentary 331 | comprehensive 332 | conciliate 333 | conciliatory 334 | concise 335 | confidence 336 | confident 337 | congenial 338 | congratulate 339 | congratulation 340 | congratulations 341 | congratulatory 342 | conscientious 343 | considerate 344 | consistent 345 | consistently 346 | constructive 347 | consummate 348 | contentment 349 | continuity 350 | contrasty 351 | contribution 352 | convenience 353 | convenient 354 | conveniently 355 | convience 356 | convienient 357 | convient 358 | convincing 359 | convincingly 360 | cool 361 | coolest 362 | cooperative 363 | cooperatively 364 | cornerstone 365 | correct 366 | correctly 367 | cost-effective 368 | cost-saving 369 | counter-attack 370 | counter-attacks 371 | courage 372 | courageous 373 | courageously 374 | courageousness 375 | courteous 376 | courtly 377 | covenant 378 | cozy 379 | creative 380 | credence 381 | credible 382 | crisp 383 | crisper 384 | cure 385 | cure-all 386 | cushy 387 | cute 388 | cuteness 389 | danke 390 | danken 391 | daring 392 | daringly 393 | darling 394 | dashing 395 | dauntless 396 | dawn 397 | dazzle 398 | dazzled 399 | dazzling 400 | dead-cheap 401 | dead-on 402 | decency 403 | decent 404 | decisive 405 | decisiveness 406 | dedicated 407 | defeat 408 | defeated 409 | defeating 410 | defeats 411 | defender 412 | deference 413 | deft 414 | deginified 415 | delectable 416 | delicacy 417 | delicate 418 | delicious 419 | delight 420 | delighted 421 | delightful 422 | delightfully 423 | delightfulness 424 | dependable 425 | 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1133 | magnanimously 1134 | magnificence 1135 | magnificent 1136 | magnificently 1137 | majestic 1138 | majesty 1139 | manageable 1140 | maneuverable 1141 | marvel 1142 | marveled 1143 | marvelled 1144 | marvellous 1145 | marvelous 1146 | marvelously 1147 | marvelousness 1148 | marvels 1149 | master 1150 | masterful 1151 | masterfully 1152 | masterpiece 1153 | masterpieces 1154 | masters 1155 | mastery 1156 | matchless 1157 | mature 1158 | maturely 1159 | maturity 1160 | meaningful 1161 | memorable 1162 | merciful 1163 | mercifully 1164 | mercy 1165 | merit 1166 | meritorious 1167 | merrily 1168 | merriment 1169 | merriness 1170 | merry 1171 | mesmerize 1172 | mesmerized 1173 | mesmerizes 1174 | mesmerizing 1175 | mesmerizingly 1176 | meticulous 1177 | meticulously 1178 | mightily 1179 | mighty 1180 | mind-blowing 1181 | miracle 1182 | miracles 1183 | miraculous 1184 | miraculously 1185 | miraculousness 1186 | modern 1187 | modest 1188 | modesty 1189 | momentous 1190 | monumental 1191 | monumentally 1192 | morality 1193 | motivated 1194 | multi-purpose 1195 | navigable 1196 | neat 1197 | neatest 1198 | neatly 1199 | nice 1200 | nicely 1201 | nicer 1202 | nicest 1203 | nifty 1204 | nimble 1205 | noble 1206 | nobly 1207 | noiseless 1208 | non-violence 1209 | non-violent 1210 | notably 1211 | noteworthy 1212 | nourish 1213 | nourishing 1214 | nourishment 1215 | novelty 1216 | nurturing 1217 | oasis 1218 | obsession 1219 | obsessions 1220 | obtainable 1221 | openly 1222 | openness 1223 | optimal 1224 | optimism 1225 | optimistic 1226 | opulent 1227 | orderly 1228 | originality 1229 | outdo 1230 | outdone 1231 | outperform 1232 | outperformed 1233 | outperforming 1234 | outperforms 1235 | outshine 1236 | outshone 1237 | outsmart 1238 | outstanding 1239 | outstandingly 1240 | outstrip 1241 | outwit 1242 | ovation 1243 | overjoyed 1244 | overtake 1245 | overtaken 1246 | overtakes 1247 | overtaking 1248 | overtook 1249 | overture 1250 | pain-free 1251 | painless 1252 | painlessly 1253 | palatial 1254 | pamper 1255 | pampered 1256 | pamperedly 1257 | pamperedness 1258 | pampers 1259 | panoramic 1260 | paradise 1261 | paramount 1262 | pardon 1263 | passion 1264 | passionate 1265 | passionately 1266 | patience 1267 | patient 1268 | patiently 1269 | patriot 1270 | patriotic 1271 | peace 1272 | peaceable 1273 | peaceful 1274 | peacefully 1275 | peacekeepers 1276 | peach 1277 | peerless 1278 | pep 1279 | pepped 1280 | pepping 1281 | peppy 1282 | peps 1283 | perfect 1284 | perfection 1285 | perfectly 1286 | permissible 1287 | perseverance 1288 | persevere 1289 | personages 1290 | personalized 1291 | phenomenal 1292 | phenomenally 1293 | picturesque 1294 | piety 1295 | pinnacle 1296 | playful 1297 | playfully 1298 | pleasant 1299 | pleasantly 1300 | pleased 1301 | pleases 1302 | pleasing 1303 | pleasingly 1304 | pleasurable 1305 | pleasurably 1306 | pleasure 1307 | plentiful 1308 | pluses 1309 | plush 1310 | plusses 1311 | poetic 1312 | poeticize 1313 | poignant 1314 | poise 1315 | poised 1316 | polished 1317 | polite 1318 | politeness 1319 | popular 1320 | portable 1321 | posh 1322 | positive 1323 | positively 1324 | positives 1325 | powerful 1326 | powerfully 1327 | praise 1328 | praiseworthy 1329 | praising 1330 | pre-eminent 1331 | precious 1332 | precise 1333 | precisely 1334 | preeminent 1335 | prefer 1336 | preferable 1337 | preferably 1338 | prefered 1339 | preferes 1340 | preferring 1341 | prefers 1342 | premier 1343 | prestige 1344 | prestigious 1345 | prettily 1346 | pretty 1347 | priceless 1348 | pride 1349 | principled 1350 | privilege 1351 | privileged 1352 | prize 1353 | proactive 1354 | problem-free 1355 | problem-solver 1356 | prodigious 1357 | prodigiously 1358 | prodigy 1359 | productive 1360 | productively 1361 | proficient 1362 | proficiently 1363 | profound 1364 | profoundly 1365 | profuse 1366 | profusion 1367 | progress 1368 | progressive 1369 | prolific 1370 | prominence 1371 | prominent 1372 | promise 1373 | promised 1374 | promises 1375 | promising 1376 | promoter 1377 | prompt 1378 | promptly 1379 | proper 1380 | properly 1381 | propitious 1382 | propitiously 1383 | pros 1384 | prosper 1385 | prosperity 1386 | prosperous 1387 | prospros 1388 | protect 1389 | protection 1390 | protective 1391 | proud 1392 | proven 1393 | proves 1394 | providence 1395 | proving 1396 | prowess 1397 | prudence 1398 | prudent 1399 | prudently 1400 | punctual 1401 | pure 1402 | purify 1403 | purposeful 1404 | quaint 1405 | qualified 1406 | qualify 1407 | quicker 1408 | quiet 1409 | quieter 1410 | radiance 1411 | radiant 1412 | rapid 1413 | rapport 1414 | rapt 1415 | rapture 1416 | raptureous 1417 | raptureously 1418 | rapturous 1419 | rapturously 1420 | rational 1421 | razor-sharp 1422 | reachable 1423 | readable 1424 | readily 1425 | ready 1426 | reaffirm 1427 | reaffirmation 1428 | realistic 1429 | realizable 1430 | reasonable 1431 | reasonably 1432 | reasoned 1433 | reassurance 1434 | reassure 1435 | receptive 1436 | reclaim 1437 | recomend 1438 | recommend 1439 | recommendation 1440 | recommendations 1441 | recommended 1442 | reconcile 1443 | reconciliation 1444 | record-setting 1445 | recover 1446 | recovery 1447 | rectification 1448 | rectify 1449 | rectifying 1450 | redeem 1451 | redeeming 1452 | redemption 1453 | refine 1454 | refined 1455 | refinement 1456 | reform 1457 | reformed 1458 | reforming 1459 | reforms 1460 | refresh 1461 | refreshed 1462 | refreshing 1463 | refund 1464 | refunded 1465 | regal 1466 | regally 1467 | regard 1468 | rejoice 1469 | rejoicing 1470 | rejoicingly 1471 | rejuvenate 1472 | rejuvenated 1473 | rejuvenating 1474 | relaxed 1475 | relent 1476 | reliable 1477 | reliably 1478 | relief 1479 | relish 1480 | remarkable 1481 | remarkably 1482 | remedy 1483 | remission 1484 | remunerate 1485 | renaissance 1486 | renewed 1487 | renown 1488 | renowned 1489 | replaceable 1490 | reputable 1491 | reputation 1492 | resilient 1493 | resolute 1494 | resound 1495 | resounding 1496 | resourceful 1497 | resourcefulness 1498 | respect 1499 | respectable 1500 | respectful 1501 | respectfully 1502 | respite 1503 | resplendent 1504 | responsibly 1505 | responsive 1506 | restful 1507 | restored 1508 | restructure 1509 | restructured 1510 | restructuring 1511 | retractable 1512 | revel 1513 | revelation 1514 | revere 1515 | reverence 1516 | reverent 1517 | reverently 1518 | revitalize 1519 | revival 1520 | revive 1521 | revives 1522 | revolutionary 1523 | revolutionize 1524 | revolutionized 1525 | revolutionizes 1526 | reward 1527 | rewarding 1528 | rewardingly 1529 | rich 1530 | richer 1531 | richly 1532 | richness 1533 | right 1534 | righten 1535 | righteous 1536 | righteously 1537 | righteousness 1538 | rightful 1539 | rightfully 1540 | rightly 1541 | rightness 1542 | risk-free 1543 | robust 1544 | rock-star 1545 | rock-stars 1546 | rockstar 1547 | rockstars 1548 | romantic 1549 | romantically 1550 | romanticize 1551 | roomier 1552 | roomy 1553 | rosy 1554 | safe 1555 | safely 1556 | sagacity 1557 | sagely 1558 | saint 1559 | saintliness 1560 | saintly 1561 | salutary 1562 | salute 1563 | sane 1564 | satisfactorily 1565 | satisfactory 1566 | satisfied 1567 | satisfies 1568 | satisfy 1569 | satisfying 1570 | satisified 1571 | saver 1572 | savings 1573 | savior 1574 | savvy 1575 | scenic 1576 | seamless 1577 | seasoned 1578 | secure 1579 | securely 1580 | selective 1581 | self-determination 1582 | self-respect 1583 | self-satisfaction 1584 | self-sufficiency 1585 | self-sufficient 1586 | sensation 1587 | sensational 1588 | sensationally 1589 | sensations 1590 | sensible 1591 | sensibly 1592 | sensitive 1593 | serene 1594 | serenity 1595 | sexy 1596 | sharp 1597 | sharper 1598 | sharpest 1599 | shimmering 1600 | shimmeringly 1601 | shine 1602 | shiny 1603 | significant 1604 | silent 1605 | simpler 1606 | simplest 1607 | simplified 1608 | simplifies 1609 | simplify 1610 | simplifying 1611 | sincere 1612 | sincerely 1613 | sincerity 1614 | skill 1615 | skilled 1616 | skillful 1617 | skillfully 1618 | slammin 1619 | sleek 1620 | slick 1621 | smart 1622 | smarter 1623 | smartest 1624 | smartly 1625 | smile 1626 | smiles 1627 | smiling 1628 | smilingly 1629 | smitten 1630 | smooth 1631 | smoother 1632 | smoothes 1633 | smoothest 1634 | smoothly 1635 | snappy 1636 | snazzy 1637 | sociable 1638 | soft 1639 | softer 1640 | solace 1641 | solicitous 1642 | solicitously 1643 | solid 1644 | solidarity 1645 | soothe 1646 | soothingly 1647 | sophisticated 1648 | soulful 1649 | soundly 1650 | soundness 1651 | spacious 1652 | sparkle 1653 | sparkling 1654 | spectacular 1655 | spectacularly 1656 | speedily 1657 | speedy 1658 | spellbind 1659 | spellbinding 1660 | spellbindingly 1661 | spellbound 1662 | spirited 1663 | spiritual 1664 | splendid 1665 | splendidly 1666 | splendor 1667 | spontaneous 1668 | sporty 1669 | spotless 1670 | sprightly 1671 | stability 1672 | stabilize 1673 | stable 1674 | stainless 1675 | standout 1676 | state-of-the-art 1677 | stately 1678 | statuesque 1679 | staunch 1680 | staunchly 1681 | staunchness 1682 | steadfast 1683 | steadfastly 1684 | steadfastness 1685 | steadiest 1686 | steadiness 1687 | steady 1688 | stellar 1689 | stellarly 1690 | stimulate 1691 | stimulates 1692 | stimulating 1693 | stimulative 1694 | stirringly 1695 | straighten 1696 | straightforward 1697 | streamlined 1698 | striking 1699 | strikingly 1700 | striving 1701 | strong 1702 | stronger 1703 | strongest 1704 | stunned 1705 | stunning 1706 | stunningly 1707 | stupendous 1708 | stupendously 1709 | sturdier 1710 | sturdy 1711 | stylish 1712 | stylishly 1713 | stylized 1714 | suave 1715 | suavely 1716 | sublime 1717 | subsidize 1718 | subsidized 1719 | subsidizes 1720 | subsidizing 1721 | substantive 1722 | succeed 1723 | succeeded 1724 | succeeding 1725 | succeeds 1726 | succes 1727 | success 1728 | successes 1729 | successful 1730 | successfully 1731 | suffice 1732 | sufficed 1733 | suffices 1734 | sufficient 1735 | sufficiently 1736 | suitable 1737 | sumptuous 1738 | sumptuously 1739 | sumptuousness 1740 | super 1741 | superb 1742 | superbly 1743 | superior 1744 | superiority 1745 | supple 1746 | support 1747 | supported 1748 | supporter 1749 | supporting 1750 | supportive 1751 | supports 1752 | supremacy 1753 | supreme 1754 | supremely 1755 | supurb 1756 | supurbly 1757 | surmount 1758 | surpass 1759 | surreal 1760 | survival 1761 | survivor 1762 | sustainability 1763 | sustainable 1764 | swank 1765 | swankier 1766 | swankiest 1767 | swanky 1768 | sweeping 1769 | sweet 1770 | sweeten 1771 | sweetheart 1772 | sweetly 1773 | sweetness 1774 | swift 1775 | swiftness 1776 | talent 1777 | talented 1778 | talents 1779 | tantalize 1780 | tantalizing 1781 | tantalizingly 1782 | tempt 1783 | tempting 1784 | temptingly 1785 | tenacious 1786 | tenaciously 1787 | tenacity 1788 | tender 1789 | tenderly 1790 | terrific 1791 | terrifically 1792 | thank 1793 | thankful 1794 | thinner 1795 | thoughtful 1796 | thoughtfully 1797 | thoughtfulness 1798 | thrift 1799 | thrifty 1800 | thrill 1801 | thrilled 1802 | thrilling 1803 | thrillingly 1804 | thrills 1805 | thrive 1806 | thriving 1807 | thumb-up 1808 | thumbs-up 1809 | tickle 1810 | tidy 1811 | time-honored 1812 | timely 1813 | tingle 1814 | titillate 1815 | titillating 1816 | titillatingly 1817 | togetherness 1818 | tolerable 1819 | toll-free 1820 | top 1821 | top-notch 1822 | top-quality 1823 | topnotch 1824 | tops 1825 | tough 1826 | tougher 1827 | toughest 1828 | traction 1829 | tranquil 1830 | tranquility 1831 | transparent 1832 | treasure 1833 | tremendously 1834 | trendy 1835 | triumph 1836 | triumphal 1837 | triumphant 1838 | triumphantly 1839 | trivially 1840 | trophy 1841 | trouble-free 1842 | trump 1843 | trumpet 1844 | trust 1845 | trusted 1846 | trusting 1847 | trustingly 1848 | trustworthiness 1849 | trustworthy 1850 | trusty 1851 | truthful 1852 | truthfully 1853 | truthfulness 1854 | twinkly 1855 | ultra-crisp 1856 | unabashed 1857 | unabashedly 1858 | unaffected 1859 | unassailable 1860 | unbeatable 1861 | unbiased 1862 | unbound 1863 | uncomplicated 1864 | unconditional 1865 | undamaged 1866 | undaunted 1867 | understandable 1868 | undisputable 1869 | undisputably 1870 | undisputed 1871 | unencumbered 1872 | unequivocal 1873 | unequivocally 1874 | unfazed 1875 | unfettered 1876 | unforgettable 1877 | unity 1878 | unlimited 1879 | unmatched 1880 | unparalleled 1881 | unquestionable 1882 | unquestionably 1883 | unreal 1884 | unrestricted 1885 | unrivaled 1886 | unselfish 1887 | unwavering 1888 | upbeat 1889 | upgradable 1890 | upgradeable 1891 | upgraded 1892 | upheld 1893 | uphold 1894 | uplift 1895 | uplifting 1896 | upliftingly 1897 | upliftment 1898 | upscale 1899 | usable 1900 | useable 1901 | useful 1902 | user-friendly 1903 | user-replaceable 1904 | valiant 1905 | valiantly 1906 | valor 1907 | valuable 1908 | variety 1909 | venerate 1910 | verifiable 1911 | veritable 1912 | versatile 1913 | versatility 1914 | vibrant 1915 | vibrantly 1916 | victorious 1917 | victory 1918 | viewable 1919 | vigilance 1920 | vigilant 1921 | virtue 1922 | virtuous 1923 | virtuously 1924 | visionary 1925 | vivacious 1926 | vivid 1927 | vouch 1928 | vouchsafe 1929 | warm 1930 | warmer 1931 | warmhearted 1932 | warmly 1933 | warmth 1934 | wealthy 1935 | welcome 1936 | well 1937 | well-backlit 1938 | well-balanced 1939 | well-behaved 1940 | well-being 1941 | well-bred 1942 | well-connected 1943 | well-educated 1944 | well-established 1945 | well-informed 1946 | well-intentioned 1947 | well-known 1948 | well-made 1949 | well-managed 1950 | well-mannered 1951 | well-positioned 1952 | well-received 1953 | well-regarded 1954 | well-rounded 1955 | well-run 1956 | well-wishers 1957 | wellbeing 1958 | whoa 1959 | wholeheartedly 1960 | wholesome 1961 | whooa 1962 | whoooa 1963 | wieldy 1964 | willing 1965 | willingly 1966 | willingness 1967 | win 1968 | windfall 1969 | winnable 1970 | winner 1971 | winners 1972 | winning 1973 | wins 1974 | wisdom 1975 | wise 1976 | wisely 1977 | witty 1978 | won 1979 | wonder 1980 | wonderful 1981 | wonderfully 1982 | wonderous 1983 | wonderously 1984 | wonders 1985 | wondrous 1986 | woo 1987 | work 1988 | workable 1989 | worked 1990 | works 1991 | world-famous 1992 | worth 1993 | worth-while 1994 | worthiness 1995 | worthwhile 1996 | worthy 1997 | wow 1998 | wowed 1999 | wowing 2000 | wows 2001 | yay 2002 | youthful 2003 | zeal 2004 | zenith 2005 | zest 2006 | zippy 2007 | -------------------------------------------------------------------------------- /negative - master dictionary.txt: -------------------------------------------------------------------------------- 1 | abandon 2 | abandoned 3 | abandoning 4 | abandonment 5 | abandonments 6 | abandons 7 | abdicated 8 | abdicates 9 | abdicating 10 | abdication 11 | abdications 12 | aberrant 13 | aberration 14 | aberrational 15 | aberrations 16 | abetting 17 | abnormal 18 | abnormalities 19 | abnormality 20 | abnormally 21 | abolish 22 | abolished 23 | abolishes 24 | abolishing 25 | abrogate 26 | abrogated 27 | abrogates 28 | abrogating 29 | abrogation 30 | abrogations 31 | abrupt 32 | abruptly 33 | abruptness 34 | absence 35 | absences 36 | absenteeism 37 | abuse 38 | abused 39 | abuses 40 | abusing 41 | abusive 42 | abusively 43 | abusiveness 44 | accident 45 | accidental 46 | accidentally 47 | accidents 48 | accusation 49 | accusations 50 | accuse 51 | accused 52 | accuses 53 | accusing 54 | acquiesce 55 | acquiesced 56 | acquiesces 57 | acquiescing 58 | acquit 59 | acquits 60 | acquittal 61 | acquittals 62 | acquitted 63 | acquitting 64 | adulterate 65 | adulterated 66 | adulterating 67 | adulteration 68 | adulterations 69 | adversarial 70 | adversaries 71 | adversary 72 | adverse 73 | adversely 74 | adversities 75 | adversity 76 | aftermath 77 | aftermaths 78 | against 79 | aggravate 80 | aggravated 81 | aggravates 82 | aggravating 83 | aggravation 84 | aggravations 85 | alerted 86 | alerting 87 | alienate 88 | alienated 89 | alienates 90 | alienating 91 | alienation 92 | alienations 93 | allegation 94 | allegations 95 | allege 96 | alleged 97 | allegedly 98 | alleges 99 | alleging 100 | annoy 101 | annoyance 102 | annoyances 103 | annoyed 104 | annoying 105 | annoys 106 | annul 107 | annulled 108 | annulling 109 | annulment 110 | annulments 111 | annuls 112 | anomalies 113 | anomalous 114 | anomalously 115 | anomaly 116 | anticompetitive 117 | antitrust 118 | argue 119 | argued 120 | arguing 121 | argument 122 | argumentative 123 | arguments 124 | arrearage 125 | arrearages 126 | arrears 127 | arrest 128 | arrested 129 | arrests 130 | artificially 131 | assault 132 | assaulted 133 | assaulting 134 | assaults 135 | assertions 136 | attrition 137 | aversely 138 | backdating 139 | bad 140 | bail 141 | bailout 142 | balk 143 | balked 144 | bankrupt 145 | bankruptcies 146 | bankruptcy 147 | bankrupted 148 | bankrupting 149 | bankrupts 150 | bans 151 | barred 152 | barrier 153 | barriers 154 | bottleneck 155 | bottlenecks 156 | boycott 157 | boycotted 158 | boycotting 159 | boycotts 160 | breach 161 | breached 162 | breaches 163 | breaching 164 | break 165 | breakage 166 | breakages 167 | breakdown 168 | breakdowns 169 | breaking 170 | breaks 171 | bribe 172 | bribed 173 | briberies 174 | bribery 175 | bribes 176 | bribing 177 | bridge 178 | broken 179 | burden 180 | burdened 181 | burdening 182 | burdens 183 | burdensome 184 | burned 185 | calamities 186 | calamitous 187 | calamity 188 | cancel 189 | canceled 190 | canceling 191 | cancellation 192 | cancellations 193 | cancelled 194 | cancelling 195 | cancels 196 | careless 197 | carelessly 198 | carelessness 199 | catastrophe 200 | catastrophes 201 | catastrophic 202 | catastrophically 203 | caution 204 | cautionary 205 | cautioned 206 | cautioning 207 | cautions 208 | cease 209 | ceased 210 | ceases 211 | ceasing 212 | censure 213 | censured 214 | censures 215 | censuring 216 | challenge 217 | challenged 218 | challenges 219 | challenging 220 | chargeoffs 221 | circumvent 222 | circumvented 223 | circumventing 224 | circumvention 225 | circumventions 226 | circumvents 227 | claiming 228 | claims 229 | clawback 230 | closed 231 | closeout 232 | closeouts 233 | closing 234 | closings 235 | closure 236 | closures 237 | coerce 238 | coerced 239 | coerces 240 | coercing 241 | coercion 242 | coercive 243 | collapse 244 | collapsed 245 | collapses 246 | collapsing 247 | collision 248 | collisions 249 | collude 250 | colluded 251 | colludes 252 | colluding 253 | collusion 254 | collusions 255 | collusive 256 | complain 257 | complained 258 | complaining 259 | complains 260 | complaint 261 | complaints 262 | complicate 263 | complicated 264 | complicates 265 | complicating 266 | complication 267 | complications 268 | compulsion 269 | concealed 270 | concealing 271 | concede 272 | conceded 273 | concedes 274 | conceding 275 | concern 276 | concerned 277 | concerns 278 | conciliating 279 | conciliation 280 | conciliations 281 | condemn 282 | condemnation 283 | condemnations 284 | condemned 285 | condemning 286 | condemns 287 | condone 288 | condoned 289 | confess 290 | confessed 291 | confesses 292 | confessing 293 | confession 294 | confine 295 | confined 296 | confinement 297 | confinements 298 | confines 299 | confining 300 | confiscate 301 | confiscated 302 | confiscates 303 | confiscating 304 | confiscation 305 | confiscations 306 | conflict 307 | conflicted 308 | conflicting 309 | conflicts 310 | confront 311 | confrontation 312 | confrontational 313 | confrontations 314 | confronted 315 | confronting 316 | confronts 317 | confuse 318 | confused 319 | confuses 320 | confusing 321 | confusingly 322 | confusion 323 | conspiracies 324 | conspiracy 325 | conspirator 326 | conspiratorial 327 | conspirators 328 | conspire 329 | conspired 330 | conspires 331 | conspiring 332 | contempt 333 | contend 334 | contended 335 | contending 336 | contends 337 | contention 338 | contentions 339 | contentious 340 | contentiously 341 | contested 342 | contesting 343 | contraction 344 | contractions 345 | contradict 346 | contradicted 347 | contradicting 348 | contradiction 349 | contradictions 350 | contradictory 351 | contradicts 352 | contrary 353 | controversial 354 | controversies 355 | controversy 356 | convict 357 | convicted 358 | convicting 359 | conviction 360 | convictions 361 | corrected 362 | correcting 363 | correction 364 | corrections 365 | corrects 366 | corrupt 367 | corrupted 368 | corrupting 369 | corruption 370 | corruptions 371 | corruptly 372 | corruptness 373 | costly 374 | counterclaim 375 | counterclaimed 376 | counterclaiming 377 | counterclaims 378 | counterfeit 379 | counterfeited 380 | counterfeiter 381 | counterfeiters 382 | counterfeiting 383 | counterfeits 384 | countermeasure 385 | countermeasures 386 | crime 387 | crimes 388 | criminal 389 | criminally 390 | criminals 391 | crises 392 | crisis 393 | critical 394 | critically 395 | criticism 396 | criticisms 397 | criticize 398 | criticized 399 | criticizes 400 | criticizing 401 | crucial 402 | crucially 403 | culpability 404 | culpable 405 | culpably 406 | cumbersome 407 | curtail 408 | curtailed 409 | curtailing 410 | curtailment 411 | curtailments 412 | curtails 413 | cut 414 | cutback 415 | cutbacks 416 | cyberattack 417 | cyberattacks 418 | cyberbullying 419 | cybercrime 420 | cybercrimes 421 | cybercriminal 422 | cybercriminals 423 | damage 424 | damaged 425 | damages 426 | damaging 427 | dampen 428 | dampened 429 | danger 430 | dangerous 431 | dangerously 432 | dangers 433 | deadlock 434 | deadlocked 435 | deadlocking 436 | deadlocks 437 | deadweight 438 | deadweights 439 | debarment 440 | debarments 441 | debarred 442 | deceased 443 | deceit 444 | deceitful 445 | deceitfulness 446 | deceive 447 | deceived 448 | deceives 449 | deceiving 450 | deception 451 | deceptions 452 | deceptive 453 | deceptively 454 | decline 455 | declined 456 | declines 457 | declining 458 | deface 459 | defaced 460 | defacement 461 | defamation 462 | defamations 463 | defamatory 464 | defame 465 | defamed 466 | defames 467 | defaming 468 | default 469 | defaulted 470 | defaulting 471 | defaults 472 | defeat 473 | defeated 474 | defeating 475 | defeats 476 | defect 477 | defective 478 | defects 479 | defend 480 | defendant 481 | defendants 482 | defended 483 | defending 484 | defends 485 | defensive 486 | defer 487 | deficiencies 488 | deficiency 489 | deficient 490 | deficit 491 | deficits 492 | defraud 493 | defrauded 494 | defrauding 495 | defrauds 496 | defunct 497 | degradation 498 | degradations 499 | degrade 500 | degraded 501 | degrades 502 | degrading 503 | delay 504 | delayed 505 | delaying 506 | delays 507 | deleterious 508 | deliberate 509 | deliberated 510 | deliberately 511 | delinquencies 512 | delinquency 513 | delinquent 514 | delinquently 515 | delinquents 516 | delist 517 | delisted 518 | delisting 519 | delists 520 | demise 521 | demised 522 | demises 523 | demising 524 | demolish 525 | demolished 526 | demolishes 527 | demolishing 528 | demolition 529 | demolitions 530 | demote 531 | demoted 532 | demotes 533 | demoting 534 | demotion 535 | demotions 536 | denial 537 | denials 538 | denied 539 | denies 540 | denigrate 541 | denigrated 542 | denigrates 543 | denigrating 544 | denigration 545 | deny 546 | denying 547 | deplete 548 | depleted 549 | depletes 550 | depleting 551 | depletion 552 | depletions 553 | deprecation 554 | depress 555 | depressed 556 | depresses 557 | depressing 558 | deprivation 559 | deprive 560 | deprived 561 | deprives 562 | depriving 563 | derelict 564 | dereliction 565 | derogatory 566 | destabilization 567 | destabilize 568 | destabilized 569 | destabilizing 570 | destroy 571 | destroyed 572 | destroying 573 | destroys 574 | destruction 575 | destructive 576 | detain 577 | detained 578 | detention 579 | detentions 580 | deter 581 | deteriorate 582 | deteriorated 583 | deteriorates 584 | deteriorating 585 | deterioration 586 | deteriorations 587 | deterred 588 | deterrence 589 | deterrences 590 | deterrent 591 | deterrents 592 | deterring 593 | deters 594 | detract 595 | detracted 596 | detracting 597 | detriment 598 | detrimental 599 | detrimentally 600 | detriments 601 | devalue 602 | devalued 603 | devalues 604 | devaluing 605 | devastate 606 | devastated 607 | devastating 608 | devastation 609 | deviate 610 | deviated 611 | deviates 612 | deviating 613 | deviation 614 | deviations 615 | devolve 616 | devolved 617 | devolves 618 | devolving 619 | difficult 620 | difficulties 621 | difficultly 622 | difficulty 623 | diminish 624 | diminished 625 | diminishes 626 | diminishing 627 | diminution 628 | disadvantage 629 | disadvantaged 630 | disadvantageous 631 | disadvantages 632 | disaffiliation 633 | disagree 634 | disagreeable 635 | disagreed 636 | disagreeing 637 | disagreement 638 | disagreements 639 | disagrees 640 | disallow 641 | disallowance 642 | disallowances 643 | disallowed 644 | disallowing 645 | disallows 646 | disappear 647 | disappearance 648 | disappearances 649 | disappeared 650 | disappearing 651 | disappears 652 | disappoint 653 | disappointed 654 | disappointing 655 | disappointingly 656 | disappointment 657 | disappointments 658 | disappoints 659 | disapproval 660 | disapprovals 661 | disapprove 662 | disapproved 663 | disapproves 664 | disapproving 665 | disassociates 666 | disassociating 667 | disassociation 668 | disassociations 669 | disaster 670 | disasters 671 | disastrous 672 | disastrously 673 | disavow 674 | disavowal 675 | disavowed 676 | disavowing 677 | disavows 678 | disciplinary 679 | disclaim 680 | disclaimed 681 | disclaimer 682 | disclaimers 683 | disclaiming 684 | disclaims 685 | disclose 686 | disclosed 687 | discloses 688 | disclosing 689 | discontinuance 690 | discontinuances 691 | discontinuation 692 | discontinuations 693 | discontinue 694 | discontinued 695 | discontinues 696 | discontinuing 697 | discourage 698 | discouraged 699 | discourages 700 | discouraging 701 | discredit 702 | discredited 703 | discrediting 704 | discredits 705 | discrepancies 706 | discrepancy 707 | disfavor 708 | disfavored 709 | disfavoring 710 | disfavors 711 | disgorge 712 | disgorged 713 | disgorgement 714 | disgorgements 715 | disgorges 716 | disgorging 717 | disgrace 718 | disgraceful 719 | disgracefully 720 | dishonest 721 | dishonestly 722 | dishonesty 723 | dishonor 724 | dishonorable 725 | dishonorably 726 | dishonored 727 | dishonoring 728 | dishonors 729 | disincentives 730 | disinterested 731 | disinterestedly 732 | disinterestedness 733 | disloyal 734 | disloyally 735 | disloyalty 736 | dismal 737 | dismally 738 | dismiss 739 | dismissal 740 | dismissals 741 | dismissed 742 | dismisses 743 | dismissing 744 | disorderly 745 | disparage 746 | disparaged 747 | disparagement 748 | disparagements 749 | disparages 750 | disparaging 751 | disparagingly 752 | disparities 753 | 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| distract 811 | distracted 812 | distracting 813 | distraction 814 | distractions 815 | distracts 816 | distress 817 | distressed 818 | disturb 819 | disturbance 820 | disturbances 821 | disturbed 822 | disturbing 823 | disturbs 824 | diversion 825 | divert 826 | diverted 827 | diverting 828 | diverts 829 | divest 830 | divested 831 | divesting 832 | divestiture 833 | divestitures 834 | divestment 835 | divestments 836 | divests 837 | divorce 838 | divorced 839 | divulge 840 | divulged 841 | divulges 842 | divulging 843 | doubt 844 | doubted 845 | doubtful 846 | doubts 847 | downgrade 848 | downgraded 849 | downgrades 850 | downgrading 851 | downsize 852 | downsized 853 | downsizes 854 | downsizing 855 | downsizings 856 | downtime 857 | downtimes 858 | downturn 859 | downturns 860 | downward 861 | downwards 862 | drag 863 | drastic 864 | drastically 865 | drawback 866 | drawbacks 867 | dropped 868 | drought 869 | droughts 870 | duress 871 | dysfunction 872 | dysfunctional 873 | 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2348 | writeoff 2349 | writeoffs 2350 | wrong 2351 | wrongdoing 2352 | wrongdoings 2353 | wrongful 2354 | wrongfully 2355 | wrongly 2356 | -------------------------------------------------------------------------------- /testsentimentclass.csv: -------------------------------------------------------------------------------- 1 | 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1493,10,0,9,2,0,12,9,0,0,18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 59 | 1525,2,0,6,4,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 60 | 1535,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 61 | 1567,2,0,18,4,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 62 | 1579,13,5,21,6,2,8,27,0,3,36,8,0,4,3,0,14,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 63 | 1589,5,0,27,6,0,0,21,0,0,6,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 64 | 1609,13,4,57,16,2,12,0,0,0,18,4,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 65 | 7,5,2,12,3,0,0,33,0,0,18,6,2,0,0,0,0,8,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 66 | 18,4,0,21,7,2,8,0,0,0,10,4,0,0,0,5,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 67 | 33,8,0,6,0,0,12,30,0,0,16,0,6,0,0,0,0,0,3,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 68 | 38,7,0,33,9,0,8,45,3,3,20,0,0,0,0,0,4,0,2,0,0,0,2,0,0,0,0,0,21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 69 | 76,12,0,9,11,0,16,9,2,0,32,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,1 70 | 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140,5,0,9,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 75 | 151,0,0,27,2,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 76 | 170,5,0,0,5,0,52,24,0,0,34,0,8,18,0,5,0,0,0,0,0,0,0,0,0,4,0,0,0,0,2,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 77 | 184,12,0,0,8,0,40,6,0,0,26,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 78 | 185,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 79 | 192,8,6,0,14,0,0,9,0,0,4,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 80 | 210,6,0,33,4,0,0,9,0,0,16,0,3,4,0,0,4,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 81 | 244,0,0,0,0,0,12,6,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 82 | 253,0,0,0,0,0,0,12,0,0,16,0,2,6,0,0,0,0,5,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 83 | 272,4,0,9,3,0,12,0,0,0,14,0,4,0,0,0,6,0,0,0,0,0,0,0,0,4,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 84 | 276,2,0,0,3,0,12,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 85 | 287,3,4,33,8,0,0,15,0,0,24,0,0,0,0,4,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 86 | 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312,10,0,9,16,0,0,6,0,0,12,0,5,0,0,2,0,0,0,0,0,0,0,0,16,0,0,0,0,0,0,0,0,2,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 91 | 321,8,0,0,8,0,0,18,2,5,14,4,0,0,0,4,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 92 | 324,0,0,60,11,0,0,0,0,0,8,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 93 | 328,8,0,6,0,0,8,36,0,0,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,12,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 94 | 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1391,11,4,6,9,0,12,9,0,0,12,14,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 175 | 1408,0,0,24,3,0,12,27,3,0,18,0,4,12,0,0,0,0,0,0,0,0,0,0,16,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 176 | 1419,7,0,0,6,0,12,9,0,0,26,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 177 | 1423,8,2,24,10,0,16,15,4,0,16,4,8,0,0,0,8,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 178 | 1454,15,4,39,17,2,40,27,0,0,40,4,5,0,0,0,18,0,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 179 | 1468,0,0,6,0,0,8,15,0,0,4,0,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 180 | 1474,8,0,21,10,0,0,15,0,0,24,0,3,0,0,0,6,0,5,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 181 | 1478,13,0,15,13,0,16,0,0,0,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 182 | 1487,10,0,54,26,0,32,33,0,0,36,0,5,0,0,3,4,0,0,0,0,0,0,0,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 183 | 1509,16,0,21,26,0,44,24,2,0,54,0,7,0,0,4,8,0,3,0,3,0,0,4,0,0,0,0,0,0,3,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 184 | 1520,3,0,0,0,0,0,6,0,0,24,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 185 | 1531,2,0,6,8,0,8,15,0,0,10,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 186 | 1539,13,6,27,3,0,8,9,0,2,30,0,2,0,2,0,0,0,4,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 187 | 1566,12,4,6,29,0,0,9,0,0,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 188 | 1570,13,0,0,7,0,12,6,0,0,20,4,0,0,0,0,8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 189 | 1575,10,0,9,3,0,28,39,3,2,26,0,11,0,0,0,16,0,3,8,3,0,0,0,32,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 190 | 1616,4,0,39,8,0,32,18,0,0,20,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 191 | 1627,15,0,24,16,0,16,30,0,0,30,0,4,0,0,0,0,6,0,0,0,0,3,0,0,0,0,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 --------------------------------------------------------------------------------