├── Text Analysis.docx ├── Output Data Structure.xlsx ├── README.md ├── Input.csv └── Data_Extraction_and_Text_Analysis.ipynb /Text Analysis.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Manojpatil123/Data-extraction-and-text-analysis/HEAD/Text Analysis.docx -------------------------------------------------------------------------------- /Output Data Structure.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Manojpatil123/Data-extraction-and-text-analysis/HEAD/Output Data Structure.xlsx -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Data-extraction-and-text-analysis. 2 | The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables from url 3 | -------------------------------------------------------------------------------- /Input.csv: -------------------------------------------------------------------------------- 1 | URL_ID,URL,,,,,,,,,,,,,,,,,,,,,,,, 2 | 1,https://insights.blackcoffer.com/is-telehealth-the-future-of-healthcare-3/,,,,,,,,,,,,,,,,,,,,,,,, 3 | 2,https://insights.blackcoffer.com/how-telehealth-and-telemedicine-helping-people-to-fight-against-covid-19-2/,,,,,,,,,,,,,,,,,,,,,,,, 4 | 3,https://insights.blackcoffer.com/is-telemedicine-effective-in-treating-patients/,,,,,,,,,,,,,,,,,,,,,,,, 5 | 4,https://insights.blackcoffer.com/is-telehealth-the-future-of-healthcare-2/,,,,,,,,,,,,,,,,,,,,,,,, 6 | 5,https://insights.blackcoffer.com/how-people-diverted-to-telehealth-services-and-telemedicine/,,,,,,,,,,,,,,,,,,,,,,,, 7 | 6,https://insights.blackcoffer.com/the-future-of-telehealth-services/,,,,,,,,,,,,,,,,,,,,,,,, 8 | 7,https://insights.blackcoffer.com/how-telehealth-and-telemedicine-helping-people-to-fight-against-covid-19/,,,,,,,,,,,,,,,,,,,,,,,, 9 | 8,https://insights.blackcoffer.com/how-does-metaverse-work-in-the-financial-sector-2/,,,,,,,,,,,,,,,,,,,,,,,, 10 | 9,https://insights.blackcoffer.com/the-impact-of-the-metaverse-on-financial-services/,,,,,,,,,,,,,,,,,,,,,,,, 11 | 10,https://insights.blackcoffer.com/how-metaverse-and-vr-can-reform-work-culture/,,,,,,,,,,,,,,,,,,,,,,,, 12 | 11,https://insights.blackcoffer.com/how-does-metaverse-work-in-the-financial-sector/,,,,,,,,,,,,,,,,,,,,,,,, 13 | 12,https://insights.blackcoffer.com/how-metaverse-will-change-your-life/,,,,,,,,,,,,,,,,,,,,,,,, 14 | 13,https://insights.blackcoffer.com/the-metaverse-and-its-implications-for-our-digital-future/,,,,,,,,,,,,,,,,,,,,,,,, 15 | 14,https://insights.blackcoffer.com/do-all-social-media-is-owned-by-meta/,,,,,,,,,,,,,,,,,,,,,,,, 16 | 15,https://insights.blackcoffer.com/how-metaverse-is-shaping-the-future-the-next-big-tech-phenomena/,,,,,,,,,,,,,,,,,,,,,,,, 17 | 16,https://insights.blackcoffer.com/what-are-the-challenges-and-acceptance-of-e-learning-during-the-covid-19-for-students-and-teachers-2/,,,,,,,,,,,,,,,,,,,,,,,, 18 | 17,https://insights.blackcoffer.com/what-is-the-limitation-of-e-learning-classes/,,,,,,,,,,,,,,,,,,,,,,,, 19 | 18,https://insights.blackcoffer.com/what-are-the-challenges-and-acceptance-of-e-learning-during-the-covid-19-for-students-and-teachers/,,,,,,,,,,,,,,,,,,,,,,,, 20 | 19,https://insights.blackcoffer.com/problems-faced-by-students-in-online-classes-during-covid-19/,,,,,,,,,,,,,,,,,,,,,,,, 21 | 20,https://insights.blackcoffer.com/impact-of-covid-19-on-engineering-and-medical-college-during-this-pandemic-lockdown/,,,,,,,,,,,,,,,,,,,,,,,, 22 | 21,https://insights.blackcoffer.com/how-is-login-logout-time-tracking-for-employees-in-office-done-by-ai/,,,,,,,,,,,,,,,,,,,,,,,, 23 | 22,https://insights.blackcoffer.com/how-does-ai-help-to-monitor-retail-shelf-watches/,,,,,,,,,,,,,,,,,,,,,,,, 24 | 23,https://insights.blackcoffer.com/ai-and-its-impact-on-the-fashion-industry/,,,,,,,,,,,,,,,,,,,,,,,, 25 | 24,https://insights.blackcoffer.com/how-do-deep-learning-models-predict-old-and-new-drugs-that-are-successfully-treated-in-healthcare/,,,,,,,,,,,,,,,,,,,,,,,, 26 | 25,https://insights.blackcoffer.com/how-artificial-intelligence-can-boost-your-productivity-level/,,,,,,,,,,,,,,,,,,,,,,,, 27 | 26,https://insights.blackcoffer.com/how-are-genetic-sequencing-maps-affected-by-deep-learning-and-ai/,,,,,,,,,,,,,,,,,,,,,,,, 28 | 27,https://insights.blackcoffer.com/how-is-ai-used-to-solve-traffic-management/,,,,,,,,,,,,,,,,,,,,,,,, 29 | 28,https://insights.blackcoffer.com/benefits-of-big-data-in-different-fields/,,,,,,,,,,,,,,,,,,,,,,,, 30 | 29,https://insights.blackcoffer.com/how-big-data-will-impact-the-future-of-business/,,,,,,,,,,,,,,,,,,,,,,,, 31 | 30,https://insights.blackcoffer.com/how-will-ai-make-decisions-in-tomorrows-wars/,,,,,,,,,,,,,,,,,,,,,,,, 32 | 31,https://insights.blackcoffer.com/which-one-is-better-ai-or-big-data/,,,,,,,,,,,,,,,,,,,,,,,, 33 | 32,https://insights.blackcoffer.com/how-robots-can-help-in-e-learning-platforms/,,,,,,,,,,,,,,,,,,,,,,,, 34 | 33,https://insights.blackcoffer.com/how-does-big-data-help-in-finance-and-the-growth-of-large-firms/,,,,,,,,,,,,,,,,,,,,,,,, 35 | 34,https://insights.blackcoffer.com/future-of-work-robot-ai-and-automation/,,,,,,,,,,,,,,,,,,,,,,,, 36 | 35,https://insights.blackcoffer.com/how-ai-will-help-the-defense-power-of-a-country/,,,,,,,,,,,,,,,,,,,,,,,, 37 | 36,https://insights.blackcoffer.com/future-of-ai-and-machine-roles-in-the-medical-sector/,,,,,,,,,,,,,,,,,,,,,,,, 38 | 37,https://insights.blackcoffer.com/ai-in-healthcare-to-improve-patient-outcomes/,,,,,,,,,,,,,,,,,,,,,,,, 39 | 38,https://insights.blackcoffer.com/what-if-the-creation-is-taking-over-the-creator/,,,,,,,,,,,,,,,,,,,,,,,, 40 | 39,https://insights.blackcoffer.com/what-jobs-will-robots-take-from-humans-in-the-future/,,,,,,,,,,,,,,,,,,,,,,,, 41 | 40,https://insights.blackcoffer.com/will-machine-replace-the-human-in-the-future-of-work/,,,,,,,,,,,,,,,,,,,,,,,, 42 | 41,https://insights.blackcoffer.com/will-ai-replace-us-or-work-with-us/,,,,,,,,,,,,,,,,,,,,,,,, 43 | 42,https://insights.blackcoffer.com/man-and-machines-together-machines-are-more-diligent-than-humans-blackcoffe/,,,,,,,,,,,,,,,,,,,,,,,, 44 | 43,https://insights.blackcoffer.com/in-future-or-in-upcoming-years-humans-and-machines-are-going-to-work-together-in-every-field-of-work/,,,,,,,,,,,,,,,,,,,,,,,, 45 | 44,https://insights.blackcoffer.com/how-neural-networks-can-be-applied-in-various-areas-in-the-future/,,,,,,,,,,,,,,,,,,,,,,,, 46 | 45,https://insights.blackcoffer.com/how-machine-learning-will-affect-your-business/,,,,,,,,,,,,,,,,,,,,,,,, 47 | 46,https://insights.blackcoffer.com/deep-learning-impact-on-areas-of-e-learning/,,,,,,,,,,,,,,,,,,,,,,,, 48 | 47,https://insights.blackcoffer.com/how-to-protect-future-data-and-its-privacy-blackcoffer/,,,,,,,,,,,,,,,,,,,,,,,, 49 | 48,https://insights.blackcoffer.com/how-machines-ai-automations-and-robo-human-are-effective-in-finance-and-banking/,,,,,,,,,,,,,,,,,,,,,,,, 50 | 49,https://insights.blackcoffer.com/ai-human-robotics-machine-future-planet-blackcoffer-thinking-jobs-workplace/,,,,,,,,,,,,,,,,,,,,,,,, 51 | 50,https://insights.blackcoffer.com/how-ai-will-change-the-world-blackcoffer/,,,,,,,,,,,,,,,,,,,,,,,, 52 | 51,https://insights.blackcoffer.com/future-of-work-how-ai-has-entered-the-workplace/,,,,,,,,,,,,,,,,,,,,,,,, 53 | 52,https://insights.blackcoffer.com/ai-tool-alexa-google-assistant-finance-banking-tool-future/,,,,,,,,,,,,,,,,,,,,,,,, 54 | 53,https://insights.blackcoffer.com/ai-healthcare-revolution-ml-technology-algorithm-google-analytics-industrialrevolution/,,,,,,,,,,,,,,,,,,,,,,,, 55 | 54,https://insights.blackcoffer.com/all-you-need-to-know-about-online-marketing/,,,,,,,,,,,,,,,,,,,,,,,, 56 | 55,https://insights.blackcoffer.com/evolution-of-advertising-industry/,,,,,,,,,,,,,,,,,,,,,,,, 57 | 56,https://insights.blackcoffer.com/how-data-analytics-can-help-your-business-respond-to-the-impact-of-covid-19/,,,,,,,,,,,,,,,,,,,,,,,, 58 | 57,https://insights.blackcoffer.com/covid-19-environmental-impact-for-the-future/,,,,,,,,,,,,,,,,,,,,,,,, 59 | 58,https://insights.blackcoffer.com/environmental-impact-of-the-covid-19-pandemic-lesson-for-the-future/,,,,,,,,,,,,,,,,,,,,,,,, 60 | 59,https://insights.blackcoffer.com/how-data-analytics-and-ai-are-used-to-halt-the-covid-19-pandemic/,,,,,,,,,,,,,,,,,,,,,,,, 61 | 60,https://insights.blackcoffer.com/difference-between-artificial-intelligence-machine-learning-statistics-and-data-mining/,,,,,,,,,,,,,,,,,,,,,,,, 62 | 61,https://insights.blackcoffer.com/how-python-became-the-first-choice-for-data-science/,,,,,,,,,,,,,,,,,,,,,,,, 63 | 62,https://insights.blackcoffer.com/how-google-fit-measure-heart-and-respiratory-rates-using-a-phone/,,,,,,,,,,,,,,,,,,,,,,,, 64 | 63,https://insights.blackcoffer.com/what-is-the-future-of-mobile-apps/,,,,,,,,,,,,,,,,,,,,,,,, 65 | 64,https://insights.blackcoffer.com/impact-of-ai-in-health-and-medicine/,,,,,,,,,,,,,,,,,,,,,,,, 66 | 65,https://insights.blackcoffer.com/telemedicine-what-patients-like-and-dislike-about-it/,,,,,,,,,,,,,,,,,,,,,,,, 67 | 66,https://insights.blackcoffer.com/how-we-forecast-future-technologies/,,,,,,,,,,,,,,,,,,,,,,,, 68 | 67,https://insights.blackcoffer.com/can-robots-tackle-late-life-loneliness/,,,,,,,,,,,,,,,,,,,,,,,, 69 | 68,https://insights.blackcoffer.com/embedding-care-robots-into-society-socio-technical-considerations/,,,,,,,,,,,,,,,,,,,,,,,, 70 | 69,https://insights.blackcoffer.com/management-challenges-for-future-digitalization-of-healthcare-services/,,,,,,,,,,,,,,,,,,,,,,,, 71 | 70,https://insights.blackcoffer.com/are-we-any-closer-to-preventing-a-nuclear-holocaust/,,,,,,,,,,,,,,,,,,,,,,,, 72 | 71,https://insights.blackcoffer.com/will-technology-eliminate-the-need-for-animal-testing-in-drug-development/,,,,,,,,,,,,,,,,,,,,,,,, 73 | 72,https://insights.blackcoffer.com/will-we-ever-understand-the-nature-of-consciousness/,,,,,,,,,,,,,,,,,,,,,,,, 74 | 73,https://insights.blackcoffer.com/will-we-ever-colonize-outer-space/,,,,,,,,,,,,,,,,,,,,,,,, 75 | 74,https://insights.blackcoffer.com/what-is-the-chance-homo-sapiens-will-survive-for-the-next-500-years/,,,,,,,,,,,,,,,,,,,,,,,, 76 | 75,https://insights.blackcoffer.com/why-does-your-business-need-a-chatbot/,,,,,,,,,,,,,,,,,,,,,,,, 77 | 76,https://insights.blackcoffer.com/how-you-lead-a-project-or-a-team-without-any-technical-expertise/,,,,,,,,,,,,,,,,,,,,,,,, 78 | 77,https://insights.blackcoffer.com/can-you-be-great-leader-without-technical-expertise/,,,,,,,,,,,,,,,,,,,,,,,, 79 | 78,https://insights.blackcoffer.com/how-does-artificial-intelligence-affect-the-environment/,,,,,,,,,,,,,,,,,,,,,,,, 80 | 79,https://insights.blackcoffer.com/how-to-overcome-your-fear-of-making-mistakes-2/,,,,,,,,,,,,,,,,,,,,,,,, 81 | 80,https://insights.blackcoffer.com/is-perfection-the-greatest-enemy-of-productivity/,,,,,,,,,,,,,,,,,,,,,,,, 82 | 81,https://insights.blackcoffer.com/global-financial-crisis-2008-causes-effects-and-its-solution/,,,,,,,,,,,,,,,,,,,,,,,, 83 | 82,https://insights.blackcoffer.com/gender-diversity-and-equality-in-the-tech-industry/,,,,,,,,,,,,,,,,,,,,,,,, 84 | 83,https://insights.blackcoffer.com/how-to-overcome-your-fear-of-making-mistakes/,,,,,,,,,,,,,,,,,,,,,,,, 85 | 84,https://insights.blackcoffer.com/how-small-business-can-survive-the-coronavirus-crisis/,,,,,,,,,,,,,,,,,,,,,,,, 86 | 85,https://insights.blackcoffer.com/impacts-of-covid-19-on-vegetable-vendors-and-food-stalls/,,,,,,,,,,,,,,,,,,,,,,,, 87 | 86,https://insights.blackcoffer.com/impacts-of-covid-19-on-vegetable-vendors/,,,,,,,,,,,,,,,,,,,,,,,, 88 | 87,https://insights.blackcoffer.com/impact-of-covid-19-pandemic-on-tourism-aviation-industries/,,,,,,,,,,,,,,,,,,,,,,,, 89 | 88,https://insights.blackcoffer.com/impact-of-covid-19-pandemic-on-sports-events-around-the-world/,,,,,,,,,,,,,,,,,,,,,,,, 90 | 89,https://insights.blackcoffer.com/changing-landscape-and-emerging-trends-in-the-indian-it-ites-industry/,,,,,,,,,,,,,,,,,,,,,,,, 91 | 90,https://insights.blackcoffer.com/online-gaming-adolescent-online-gaming-effects-demotivated-depression-musculoskeletal-and-psychosomatic-symptoms/,,,,,,,,,,,,,,,,,,,,,,,, 92 | 91,https://insights.blackcoffer.com/human-rights-outlook/,,,,,,,,,,,,,,,,,,,,,,,, 93 | 92,https://insights.blackcoffer.com/how-voice-search-makes-your-business-a-successful-business/,,,,,,,,,,,,,,,,,,,,,,,, 94 | 93,https://insights.blackcoffer.com/how-the-covid-19-crisis-is-redefining-jobs-and-services/,,,,,,,,,,,,,,,,,,,,,,,, 95 | 94,https://insights.blackcoffer.com/how-to-increase-social-media-engagement-for-marketers/,,,,,,,,,,,,,,,,,,,,,,,, 96 | 95,https://insights.blackcoffer.com/impacts-of-covid-19-on-streets-sides-food-stalls/,,,,,,,,,,,,,,,,,,,,,,,, 97 | 96,https://insights.blackcoffer.com/coronavirus-impact-on-energy-markets-2/,,,,,,,,,,,,,,,,,,,,,,,, 98 | 97,https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry-5/,,,,,,,,,,,,,,,,,,,,,,,, 99 | 98,https://insights.blackcoffer.com/lessons-from-the-past-some-key-learnings-relevant-to-the-coronavirus-crisis-4/,,,,,,,,,,,,,,,,,,,,,,,, 100 | 99,https://insights.blackcoffer.com/estimating-the-impact-of-covid-19-on-the-world-of-work-2/,,,,,,,,,,,,,,,,,,,,,,,, 101 | 100,https://insights.blackcoffer.com/estimating-the-impact-of-covid-19-on-the-world-of-work-3/,,,,,,,,,,,,,,,,,,,,,,,, 102 | 101,https://insights.blackcoffer.com/travel-and-tourism-outlook/,,,,,,,,,,,,,,,,,,,,,,,, 103 | 102,https://insights.blackcoffer.com/gaming-disorder-and-effects-of-gaming-on-health/,,,,,,,,,,,,,,,,,,,,,,,, 104 | 103,https://insights.blackcoffer.com/what-is-the-repercussion-of-the-environment-due-to-the-covid-19-pandemic-situation/,,,,,,,,,,,,,,,,,,,,,,,, 105 | 104,https://insights.blackcoffer.com/what-is-the-repercussion-of-the-environment-due-to-the-covid-19-pandemic-situation-2/,,,,,,,,,,,,,,,,,,,,,,,, 106 | 105,https://insights.blackcoffer.com/impact-of-covid-19-pandemic-on-office-space-and-co-working-industries/,,,,,,,,,,,,,,,,,,,,,,,, 107 | 106,https://insights.blackcoffer.com/contribution-of-handicrafts-visual-arts-literature-in-the-indian-economy/,,,,,,,,,,,,,,,,,,,,,,,, 108 | 107,https://insights.blackcoffer.com/how-covid-19-is-impacting-payment-preferences/,,,,,,,,,,,,,,,,,,,,,,,, 109 | 108,https://insights.blackcoffer.com/how-will-covid-19-affect-the-world-of-work-2/,,,,,,,,,,,,,,,,,,,,,,,, 110 | 109,https://insights.blackcoffer.com/lessons-from-the-past-some-key-learnings-relevant-to-the-coronavirus-crisis/,,,,,,,,,,,,,,,,,,,,,,,, 111 | 110,https://insights.blackcoffer.com/covid-19-how-have-countries-been-responding/,,,,,,,,,,,,,,,,,,,,,,,, 112 | 111,https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry-2/,,,,,,,,,,,,,,,,,,,,,,,, 113 | 112,https://insights.blackcoffer.com/how-will-covid-19-affect-the-world-of-work-3/,,,,,,,,,,,,,,,,,,,,,,,, 114 | 113,https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry-3/,,,,,,,,,,,,,,,,,,,,,,,, 115 | 114,https://insights.blackcoffer.com/estimating-the-impact-of-covid-19-on-the-world-of-work/,,,,,,,,,,,,,,,,,,,,,,,, 116 | 115,https://insights.blackcoffer.com/covid-19-how-have-countries-been-responding-2/,,,,,,,,,,,,,,,,,,,,,,,, 117 | 116,https://insights.blackcoffer.com/how-will-covid-19-affect-the-world-of-work-4/,,,,,,,,,,,,,,,,,,,,,,,, 118 | 117,https://insights.blackcoffer.com/lessons-from-the-past-some-key-learnings-relevant-to-the-coronavirus-crisis-2/,,,,,,,,,,,,,,,,,,,,,,,, 119 | 118,https://insights.blackcoffer.com/lessons-from-the-past-some-key-learnings-relevant-to-the-coronavirus-crisis-3/,,,,,,,,,,,,,,,,,,,,,,,, 120 | 119,https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry-4/,,,,,,,,,,,,,,,,,,,,,,,, 121 | 120,https://insights.blackcoffer.com/why-scams-like-nirav-modi-happen-with-indian-banks/,,,,,,,,,,,,,,,,,,,,,,,, 122 | 121,https://insights.blackcoffer.com/impact-of-covid-19-on-the-global-economy/,,,,,,,,,,,,,,,,,,,,,,,, 123 | 122,https://insights.blackcoffer.com/impact-of-covid-19coronavirus-on-the-indian-economy-2/,,,,,,,,,,,,,,,,,,,,,,,, 124 | 123,https://insights.blackcoffer.com/impact-of-covid-19-on-the-global-economy-2/,,,,,,,,,,,,,,,,,,,,,,,, 125 | 124,https://insights.blackcoffer.com/impact-of-covid-19-coronavirus-on-the-indian-economy-3/,,,,,,,,,,,,,,,,,,,,,,,, 126 | 125,https://insights.blackcoffer.com/should-celebrities-be-allowed-to-join-politics/,,,,,,,,,,,,,,,,,,,,,,,, 127 | 126,https://insights.blackcoffer.com/how-prepared-is-india-to-tackle-a-possible-covid-19-outbreak/,,,,,,,,,,,,,,,,,,,,,,,, 128 | 127,https://insights.blackcoffer.com/how-will-covid-19-affect-the-world-of-work/,,,,,,,,,,,,,,,,,,,,,,,, 129 | 128,https://insights.blackcoffer.com/controversy-as-a-marketing-strategy/,,,,,,,,,,,,,,,,,,,,,,,, 130 | 129,https://insights.blackcoffer.com/coronavirus-impact-on-the-hospitality-industry/,,,,,,,,,,,,,,,,,,,,,,,, 131 | 130,https://insights.blackcoffer.com/coronavirus-impact-on-energy-markets/,,,,,,,,,,,,,,,,,,,,,,,, 132 | 131,https://insights.blackcoffer.com/what-are-the-key-policies-that-will-mitigate-the-impacts-of-covid-19-on-the-world-of-work/,,,,,,,,,,,,,,,,,,,,,,,, 133 | 132,https://insights.blackcoffer.com/marketing-drives-results-with-a-focus-on-problems/,,,,,,,,,,,,,,,,,,,,,,,, 134 | 133,https://insights.blackcoffer.com/continued-demand-for-sustainability/,,,,,,,,,,,,,,,,,,,,,,,, 135 | 134,https://insights.blackcoffer.com/coronavirus-disease-covid-19-effect-the-impact-and-role-of-mass-media-during-the-pandemic/,,,,,,,,,,,,,,,,,,,,,,,, 136 | 135,https://insights.blackcoffer.com/should-people-wear-fabric-gloves-seeking-evidence-regarding-the-differential-transfer-of-covid-19-or-coronaviruses-generally-between-surfaces/,,,,,,,,,,,,,,,,,,,,,,,, 137 | 136,https://insights.blackcoffer.com/why-is-there-a-severe-immunological-and-inflammatory-explosion-in-those-affected-by-sarms-covid-19/,,,,,,,,,,,,,,,,,,,,,,,, 138 | 137,https://insights.blackcoffer.com/what-do-you-think-is-the-lesson-or-lessons-to-be-learned-with-covid-19/,,,,,,,,,,,,,,,,,,,,,,,, 139 | 138,https://insights.blackcoffer.com/coronavirus-the-unexpected-challenge-for-the-european-union/,,,,,,,,,,,,,,,,,,,,,,,, 140 | 139,https://insights.blackcoffer.com/industrial-revolution-4-0-pros-and-cons/,,,,,,,,,,,,,,,,,,,,,,,, 141 | 140,https://insights.blackcoffer.com/impact-of-covid-19-coronavirus-on-the-indian-economy/,,,,,,,,,,,,,,,,,,,,,,,, 142 | 141,https://insights.blackcoffer.com/impact-of-covid-19-coronavirus-on-the-indian-economy-2/,,,,,,,,,,,,,,,,,,,,,,,, 143 | 142,https://insights.blackcoffer.com/impact-of-covid-19coronavirus-on-the-indian-economy/,,,,,,,,,,,,,,,,,,,,,,,, 144 | 143,https://insights.blackcoffer.com/impact-of-covid-19-coronavirus-on-the-global-economy/,,,,,,,,,,,,,,,,,,,,,,,, 145 | 144,https://insights.blackcoffer.com/ensuring-growth-through-insurance-technology/,,,,,,,,,,,,,,,,,,,,,,,, 146 | 145,https://insights.blackcoffer.com/blockchain-in-fintech/,,,,,,,,,,,,,,,,,,,,,,,, 147 | 146,https://insights.blackcoffer.com/blockchain-for-payments/,,,,,,,,,,,,,,,,,,,,,,,, 148 | 147,https://insights.blackcoffer.com/the-future-of-investing/,,,,,,,,,,,,,,,,,,,,,,,, 149 | 148,https://insights.blackcoffer.com/big-data-analytics-in-healthcare/,,,,,,,,,,,,,,,,,,,,,,,, 150 | 149,https://insights.blackcoffer.com/business-analytics-in-the-healthcare-industry/,,,,,,,,,,,,,,,,,,,,,,,, 151 | 150,https://insights.blackcoffer.com/challenges-and-opportunities-of-big-data-in-healthcare/,,,,,,,,,,,,,,,,,,,,,,,, 152 | ,,,,,,,,,,,,,,,,,,,,,,,,, 153 | ,,,,,,,,,,,,,,,,,,,,,,,,, 154 | ,,,,,,,,,,,,,,,,,,,,,,,,, 155 | ,,,,,,,,,,,,,,,,,,,,,,,,, 156 | ,,,,,,,,,,,,,,,,,,,,,,,,, 157 | ,,,,,,,,,,,,,,,,,,,,,,,,, 158 | ,,,,,,,,,,,,,,,,,,,,,,,,, 159 | ,,,,,,,,,,,,,,,,,,,,,,,,, 160 | ,,,,,,,,,,,,,,,,,,,,,,,,, 161 | ,,,,,,,,,,,,,,,,,,,,,,,,, 162 | ,,,,,,,,,,,,,,,,,,,,,,,,, 163 | ,,,,,,,,,,,,,,,,,,,,,,,,, 164 | ,,,,,,,,,,,,,,,,,,,,,,,,, 165 | ,,,,,,,,,,,,,,,,,,,,,,,,, 166 | ,,,,,,,,,,,,,,,,,,,,,,,,, 167 | ,,,,,,,,,,,,,,,,,,,,,,,,, 168 | ,,,,,,,,,,,,,,,,,,,,,,,,, 169 | ,,,,,,,,,,,,,,,,,,,,,,,,, 170 | ,,,,,,,,,,,,,,,,,,,,,,,,, 171 | ,,,,,,,,,,,,,,,,,,,,,,,,, 172 | ,,,,,,,,,,,,,,,,,,,,,,,,, 173 | ,,,,,,,,,,,,,,,,,,,,,,,,, 174 | ,,,,,,,,,,,,,,,,,,,,,,,,, 175 | ,,,,,,,,,,,,,,,,,,,,,,,,, 176 | ,,,,,,,,,,,,,,,,,,,,,,,,, 177 | ,,,,,,,,,,,,,,,,,,,,,,,,, 178 | ,,,,,,,,,,,,,,,,,,,,,,,,, 179 | ,,,,,,,,,,,,,,,,,,,,,,,,, 180 | ,,,,,,,,,,,,,,,,,,,,,,,,, 181 | ,,,,,,,,,,,,,,,,,,,,,,,,, 182 | ,,,,,,,,,,,,,,,,,,,,,,,,, 183 | ,,,,,,,,,,,,,,,,,,,,,,,,, 184 | ,,,,,,,,,,,,,,,,,,,,,,,,, 185 | ,,,,,,,,,,,,,,,,,,,,,,,,, 186 | ,,,,,,,,,,,,,,,,,,,,,,,,, 187 | ,,,,,,,,,,,,,,,,,,,,,,,,, 188 | ,,,,,,,,,,,,,,,,,,,,,,,,, 189 | ,,,,,,,,,,,,,,,,,,,,,,,,, 190 | ,,,,,,,,,,,,,,,,,,,,,,,,, 191 | ,,,,,,,,,,,,,,,,,,,,,,,,, 192 | ,,,,,,,,,,,,,,,,,,,,,,,,, 193 | ,,,,,,,,,,,,,,,,,,,,,,,,, 194 | ,,,,,,,,,,,,,,,,,,,,,,,,, 195 | ,,,,,,,,,,,,,,,,,,,,,,,,, 196 | ,,,,,,,,,,,,,,,,,,,,,,,,, 197 | ,,,,,,,,,,,,,,,,,,,,,,,,, 198 | ,,,,,,,,,,,,,,,,,,,,,,,,, 199 | ,,,,,,,,,,,,,,,,,,,,,,,,, 200 | ,,,,,,,,,,,,,,,,,,,,,,,,, 201 | ,,,,,,,,,,,,,,,,,,,,,,,,, 202 | ,,,,,,,,,,,,,,,,,,,,,,,,, 203 | ,,,,,,,,,,,,,,,,,,,,,,,,, 204 | ,,,,,,,,,,,,,,,,,,,,,,,,, 205 | ,,,,,,,,,,,,,,,,,,,,,,,,, 206 | ,,,,,,,,,,,,,,,,,,,,,,,,, 207 | ,,,,,,,,,,,,,,,,,,,,,,,,, 208 | ,,,,,,,,,,,,,,,,,,,,,,,,, 209 | ,,,,,,,,,,,,,,,,,,,,,,,,, 210 | ,,,,,,,,,,,,,,,,,,,,,,,,, 211 | ,,,,,,,,,,,,,,,,,,,,,,,,, 212 | ,,,,,,,,,,,,,,,,,,,,,,,,, 213 | ,,,,,,,,,,,,,,,,,,,,,,,,, 214 | ,,,,,,,,,,,,,,,,,,,,,,,,, 215 | ,,,,,,,,,,,,,,,,,,,,,,,,, 216 | ,,,,,,,,,,,,,,,,,,,,,,,,, 217 | ,,,,,,,,,,,,,,,,,,,,,,,,, 218 | ,,,,,,,,,,,,,,,,,,,,,,,,, 219 | ,,,,,,,,,,,,,,,,,,,,,,,,, 220 | ,,,,,,,,,,,,,,,,,,,,,,,,, 221 | ,,,,,,,,,,,,,,,,,,,,,,,,, 222 | ,,,,,,,,,,,,,,,,,,,,,,,,, 223 | ,,,,,,,,,,,,,,,,,,,,,,,,, 224 | ,,,,,,,,,,,,,,,,,,,,,,,,, 225 | ,,,,,,,,,,,,,,,,,,,,,,,,, 226 | ,,,,,,,,,,,,,,,,,,,,,,,,, 227 | ,,,,,,,,,,,,,,,,,,,,,,,,, 228 | ,,,,,,,,,,,,,,,,,,,,,,,,, 229 | ,,,,,,,,,,,,,,,,,,,,,,,,, 230 | ,,,,,,,,,,,,,,,,,,,,,,,,, 231 | ,,,,,,,,,,,,,,,,,,,,,,,,, 232 | ,,,,,,,,,,,,,,,,,,,,,,,,, 233 | ,,,,,,,,,,,,,,,,,,,,,,,,, 234 | ,,,,,,,,,,,,,,,,,,,,,,,,, 235 | ,,,,,,,,,,,,,,,,,,,,,,,,, 236 | ,,,,,,,,,,,,,,,,,,,,,,,,, 237 | ,,,,,,,,,,,,,,,,,,,,,,,,, 238 | ,,,,,,,,,,,,,,,,,,,,,,,,, 239 | ,,,,,,,,,,,,,,,,,,,,,,,,, 240 | ,,,,,,,,,,,,,,,,,,,,,,,,, 241 | ,,,,,,,,,,,,,,,,,,,,,,,,, 242 | ,,,,,,,,,,,,,,,,,,,,,,,,, 243 | ,,,,,,,,,,,,,,,,,,,,,,,,, 244 | ,,,,,,,,,,,,,,,,,,,,,,,,, 245 | ,,,,,,,,,,,,,,,,,,,,,,,,, 246 | ,,,,,,,,,,,,,,,,,,,,,,,,, 247 | ,,,,,,,,,,,,,,,,,,,,,,,,, 248 | ,,,,,,,,,,,,,,,,,,,,,,,,, 249 | ,,,,,,,,,,,,,,,,,,,,,,,,, 250 | ,,,,,,,,,,,,,,,,,,,,,,,,, 251 | ,,,,,,,,,,,,,,,,,,,,,,,,, 252 | ,,,,,,,,,,,,,,,,,,,,,,,,, 253 | ,,,,,,,,,,,,,,,,,,,,,,,,, 254 | ,,,,,,,,,,,,,,,,,,,,,,,,, 255 | ,,,,,,,,,,,,,,,,,,,,,,,,, 256 | ,,,,,,,,,,,,,,,,,,,,,,,,, 257 | ,,,,,,,,,,,,,,,,,,,,,,,,, 258 | ,,,,,,,,,,,,,,,,,,,,,,,,, 259 | ,,,,,,,,,,,,,,,,,,,,,,,,, 260 | ,,,,,,,,,,,,,,,,,,,,,,,,, 261 | ,,,,,,,,,,,,,,,,,,,,,,,,, 262 | ,,,,,,,,,,,,,,,,,,,,,,,,, 263 | ,,,,,,,,,,,,,,,,,,,,,,,,, 264 | ,,,,,,,,,,,,,,,,,,,,,,,,, 265 | ,,,,,,,,,,,,,,,,,,,,,,,,, 266 | ,,,,,,,,,,,,,,,,,,,,,,,,, 267 | ,,,,,,,,,,,,,,,,,,,,,,,,, 268 | ,,,,,,,,,,,,,,,,,,,,,,,,, 269 | ,,,,,,,,,,,,,,,,,,,,,,,,, 270 | ,,,,,,,,,,,,,,,,,,,,,,,,, 271 | ,,,,,,,,,,,,,,,,,,,,,,,,, 272 | ,,,,,,,,,,,,,,,,,,,,,,,,, 273 | ,,,,,,,,,,,,,,,,,,,,,,,,, 274 | ,,,,,,,,,,,,,,,,,,,,,,,,, 275 | ,,,,,,,,,,,,,,,,,,,,,,,,, 276 | ,,,,,,,,,,,,,,,,,,,,,,,,, 277 | ,,,,,,,,,,,,,,,,,,,,,,,,, 278 | ,,,,,,,,,,,,,,,,,,,,,,,,, 279 | ,,,,,,,,,,,,,,,,,,,,,,,,, 280 | ,,,,,,,,,,,,,,,,,,,,,,,,, 281 | ,,,,,,,,,,,,,,,,,,,,,,,,, 282 | ,,,,,,,,,,,,,,,,,,,,,,,,, 283 | ,,,,,,,,,,,,,,,,,,,,,,,,, 284 | ,,,,,,,,,,,,,,,,,,,,,,,,, 285 | ,,,,,,,,,,,,,,,,,,,,,,,,, 286 | ,,,,,,,,,,,,,,,,,,,,,,,,, 287 | ,,,,,,,,,,,,,,,,,,,,,,,,, 288 | ,,,,,,,,,,,,,,,,,,,,,,,,, 289 | ,,,,,,,,,,,,,,,,,,,,,,,,, 290 | ,,,,,,,,,,,,,,,,,,,,,,,,, 291 | ,,,,,,,,,,,,,,,,,,,,,,,,, 292 | ,,,,,,,,,,,,,,,,,,,,,,,,, 293 | ,,,,,,,,,,,,,,,,,,,,,,,,, 294 | ,,,,,,,,,,,,,,,,,,,,,,,,, 295 | ,,,,,,,,,,,,,,,,,,,,,,,,, 296 | ,,,,,,,,,,,,,,,,,,,,,,,,, 297 | ,,,,,,,,,,,,,,,,,,,,,,,,, 298 | ,,,,,,,,,,,,,,,,,,,,,,,,, 299 | ,,,,,,,,,,,,,,,,,,,,,,,,, 300 | ,,,,,,,,,,,,,,,,,,,,,,,,, 301 | ,,,,,,,,,,,,,,,,,,,,,,,,, 302 | ,,,,,,,,,,,,,,,,,,,,,,,,, 303 | ,,,,,,,,,,,,,,,,,,,,,,,,, 304 | ,,,,,,,,,,,,,,,,,,,,,,,,, 305 | ,,,,,,,,,,,,,,,,,,,,,,,,, 306 | ,,,,,,,,,,,,,,,,,,,,,,,,, 307 | ,,,,,,,,,,,,,,,,,,,,,,,,, 308 | ,,,,,,,,,,,,,,,,,,,,,,,,, 309 | ,,,,,,,,,,,,,,,,,,,,,,,,, 310 | ,,,,,,,,,,,,,,,,,,,,,,,,, 311 | ,,,,,,,,,,,,,,,,,,,,,,,,, 312 | ,,,,,,,,,,,,,,,,,,,,,,,,, 313 | ,,,,,,,,,,,,,,,,,,,,,,,,, 314 | ,,,,,,,,,,,,,,,,,,,,,,,,, 315 | ,,,,,,,,,,,,,,,,,,,,,,,,, 316 | ,,,,,,,,,,,,,,,,,,,,,,,,, 317 | ,,,,,,,,,,,,,,,,,,,,,,,,, 318 | ,,,,,,,,,,,,,,,,,,,,,,,,, 319 | ,,,,,,,,,,,,,,,,,,,,,,,,, 320 | ,,,,,,,,,,,,,,,,,,,,,,,,, 321 | ,,,,,,,,,,,,,,,,,,,,,,,,, 322 | ,,,,,,,,,,,,,,,,,,,,,,,,, 323 | ,,,,,,,,,,,,,,,,,,,,,,,,, 324 | ,,,,,,,,,,,,,,,,,,,,,,,,, 325 | ,,,,,,,,,,,,,,,,,,,,,,,,, 326 | ,,,,,,,,,,,,,,,,,,,,,,,,, 327 | ,,,,,,,,,,,,,,,,,,,,,,,,, 328 | ,,,,,,,,,,,,,,,,,,,,,,,,, 329 | ,,,,,,,,,,,,,,,,,,,,,,,,, 330 | ,,,,,,,,,,,,,,,,,,,,,,,,, 331 | ,,,,,,,,,,,,,,,,,,,,,,,,, 332 | ,,,,,,,,,,,,,,,,,,,,,,,,, 333 | ,,,,,,,,,,,,,,,,,,,,,,,,, 334 | ,,,,,,,,,,,,,,,,,,,,,,,,, 335 | ,,,,,,,,,,,,,,,,,,,,,,,,, 336 | ,,,,,,,,,,,,,,,,,,,,,,,,, 337 | ,,,,,,,,,,,,,,,,,,,,,,,,, 338 | ,,,,,,,,,,,,,,,,,,,,,,,,, 339 | ,,,,,,,,,,,,,,,,,,,,,,,,, 340 | ,,,,,,,,,,,,,,,,,,,,,,,,, 341 | ,,,,,,,,,,,,,,,,,,,,,,,,, 342 | ,,,,,,,,,,,,,,,,,,,,,,,,, 343 | ,,,,,,,,,,,,,,,,,,,,,,,,, 344 | ,,,,,,,,,,,,,,,,,,,,,,,,, 345 | ,,,,,,,,,,,,,,,,,,,,,,,,, 346 | ,,,,,,,,,,,,,,,,,,,,,,,,, 347 | ,,,,,,,,,,,,,,,,,,,,,,,,, 348 | ,,,,,,,,,,,,,,,,,,,,,,,,, 349 | ,,,,,,,,,,,,,,,,,,,,,,,,, 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 | ,,,,,,,,,,,,,,,,,,,,,,,,, 415 | ,,,,,,,,,,,,,,,,,,,,,,,,, 416 | ,,,,,,,,,,,,,,,,,,,,,,,,, 417 | ,,,,,,,,,,,,,,,,,,,,,,,,, 418 | ,,,,,,,,,,,,,,,,,,,,,,,,, 419 | ,,,,,,,,,,,,,,,,,,,,,,,,, 420 | ,,,,,,,,,,,,,,,,,,,,,,,,, 421 | ,,,,,,,,,,,,,,,,,,,,,,,,, 422 | ,,,,,,,,,,,,,,,,,,,,,,,,, 423 | ,,,,,,,,,,,,,,,,,,,,,,,,, 424 | ,,,,,,,,,,,,,,,,,,,,,,,,, 425 | ,,,,,,,,,,,,,,,,,,,,,,,,, 426 | ,,,,,,,,,,,,,,,,,,,,,,,,, 427 | ,,,,,,,,,,,,,,,,,,,,,,,,, 428 | ,,,,,,,,,,,,,,,,,,,,,,,,, 429 | ,,,,,,,,,,,,,,,,,,,,,,,,, 430 | ,,,,,,,,,,,,,,,,,,,,,,,,, 431 | ,,,,,,,,,,,,,,,,,,,,,,,,, 432 | ,,,,,,,,,,,,,,,,,,,,,,,,, 433 | ,,,,,,,,,,,,,,,,,,,,,,,,, 434 | ,,,,,,,,,,,,,,,,,,,,,,,,, 435 | ,,,,,,,,,,,,,,,,,,,,,,,,, 436 | ,,,,,,,,,,,,,,,,,,,,,,,,, 437 | ,,,,,,,,,,,,,,,,,,,,,,,,, 438 | ,,,,,,,,,,,,,,,,,,,,,,,,, 439 | ,,,,,,,,,,,,,,,,,,,,,,,,, 440 | ,,,,,,,,,,,,,,,,,,,,,,,,, 441 | ,,,,,,,,,,,,,,,,,,,,,,,,, 442 | ,,,,,,,,,,,,,,,,,,,,,,,,, 443 | ,,,,,,,,,,,,,,,,,,,,,,,,, 444 | ,,,,,,,,,,,,,,,,,,,,,,,,, 445 | ,,,,,,,,,,,,,,,,,,,,,,,,, 446 | ,,,,,,,,,,,,,,,,,,,,,,,,, 447 | ,,,,,,,,,,,,,,,,,,,,,,,,, 448 | ,,,,,,,,,,,,,,,,,,,,,,,,, 449 | ,,,,,,,,,,,,,,,,,,,,,,,,, 450 | ,,,,,,,,,,,,,,,,,,,,,,,,, 451 | ,,,,,,,,,,,,,,,,,,,,,,,,, 452 | ,,,,,,,,,,,,,,,,,,,,,,,,, 453 | ,,,,,,,,,,,,,,,,,,,,,,,,, 454 | ,,,,,,,,,,,,,,,,,,,,,,,,, 455 | ,,,,,,,,,,,,,,,,,,,,,,,,, 456 | ,,,,,,,,,,,,,,,,,,,,,,,,, 457 | ,,,,,,,,,,,,,,,,,,,,,,,,, 458 | ,,,,,,,,,,,,,,,,,,,,,,,,, 459 | ,,,,,,,,,,,,,,,,,,,,,,,,, 460 | ,,,,,,,,,,,,,,,,,,,,,,,,, 461 | ,,,,,,,,,,,,,,,,,,,,,,,,, 462 | ,,,,,,,,,,,,,,,,,,,,,,,,, 463 | ,,,,,,,,,,,,,,,,,,,,,,,,, 464 | ,,,,,,,,,,,,,,,,,,,,,,,,, 465 | ,,,,,,,,,,,,,,,,,,,,,,,,, 466 | ,,,,,,,,,,,,,,,,,,,,,,,,, 467 | ,,,,,,,,,,,,,,,,,,,,,,,,, 468 | ,,,,,,,,,,,,,,,,,,,,,,,,, 469 | ,,,,,,,,,,,,,,,,,,,,,,,,, 470 | ,,,,,,,,,,,,,,,,,,,,,,,,, 471 | ,,,,,,,,,,,,,,,,,,,,,,,,, 472 | ,,,,,,,,,,,,,,,,,,,,,,,,, 473 | ,,,,,,,,,,,,,,,,,,,,,,,,, 474 | ,,,,,,,,,,,,,,,,,,,,,,,,, 475 | ,,,,,,,,,,,,,,,,,,,,,,,,, 476 | ,,,,,,,,,,,,,,,,,,,,,,,,, 477 | ,,,,,,,,,,,,,,,,,,,,,,,,, 478 | ,,,,,,,,,,,,,,,,,,,,,,,,, 479 | ,,,,,,,,,,,,,,,,,,,,,,,,, 480 | ,,,,,,,,,,,,,,,,,,,,,,,,, 481 | ,,,,,,,,,,,,,,,,,,,,,,,,, 482 | ,,,,,,,,,,,,,,,,,,,,,,,,, 483 | ,,,,,,,,,,,,,,,,,,,,,,,,, 484 | ,,,,,,,,,,,,,,,,,,,,,,,,, 485 | ,,,,,,,,,,,,,,,,,,,,,,,,, 486 | ,,,,,,,,,,,,,,,,,,,,,,,,, 487 | ,,,,,,,,,,,,,,,,,,,,,,,,, 488 | ,,,,,,,,,,,,,,,,,,,,,,,,, 489 | ,,,,,,,,,,,,,,,,,,,,,,,,, 490 | ,,,,,,,,,,,,,,,,,,,,,,,,, 491 | ,,,,,,,,,,,,,,,,,,,,,,,,, 492 | ,,,,,,,,,,,,,,,,,,,,,,,,, 493 | ,,,,,,,,,,,,,,,,,,,,,,,,, 494 | ,,,,,,,,,,,,,,,,,,,,,,,,, 495 | ,,,,,,,,,,,,,,,,,,,,,,,,, 496 | ,,,,,,,,,,,,,,,,,,,,,,,,, 497 | ,,,,,,,,,,,,,,,,,,,,,,,,, 498 | ,,,,,,,,,,,,,,,,,,,,,,,,, 499 | ,,,,,,,,,,,,,,,,,,,,,,,,, 500 | ,,,,,,,,,,,,,,,,,,,,,,,,, 501 | ,,,,,,,,,,,,,,,,,,,,,,,,, 502 | ,,,,,,,,,,,,,,,,,,,,,,,,, 503 | ,,,,,,,,,,,,,,,,,,,,,,,,, 504 | ,,,,,,,,,,,,,,,,,,,,,,,,, 505 | ,,,,,,,,,,,,,,,,,,,,,,,,, 506 | ,,,,,,,,,,,,,,,,,,,,,,,,, 507 | ,,,,,,,,,,,,,,,,,,,,,,,,, 508 | ,,,,,,,,,,,,,,,,,,,,,,,,, 509 | ,,,,,,,,,,,,,,,,,,,,,,,,, 510 | ,,,,,,,,,,,,,,,,,,,,,,,,, 511 | ,,,,,,,,,,,,,,,,,,,,,,,,, 512 | ,,,,,,,,,,,,,,,,,,,,,,,,, 513 | ,,,,,,,,,,,,,,,,,,,,,,,,, 514 | ,,,,,,,,,,,,,,,,,,,,,,,,, 515 | ,,,,,,,,,,,,,,,,,,,,,,,,, 516 | ,,,,,,,,,,,,,,,,,,,,,,,,, 517 | ,,,,,,,,,,,,,,,,,,,,,,,,, 518 | ,,,,,,,,,,,,,,,,,,,,,,,,, 519 | ,,,,,,,,,,,,,,,,,,,,,,,,, 520 | ,,,,,,,,,,,,,,,,,,,,,,,,, 521 | ,,,,,,,,,,,,,,,,,,,,,,,,, 522 | ,,,,,,,,,,,,,,,,,,,,,,,,, 523 | ,,,,,,,,,,,,,,,,,,,,,,,,, 524 | ,,,,,,,,,,,,,,,,,,,,,,,,, 525 | ,,,,,,,,,,,,,,,,,,,,,,,,, 526 | ,,,,,,,,,,,,,,,,,,,,,,,,, 527 | ,,,,,,,,,,,,,,,,,,,,,,,,, 528 | ,,,,,,,,,,,,,,,,,,,,,,,,, 529 | ,,,,,,,,,,,,,,,,,,,,,,,,, 530 | ,,,,,,,,,,,,,,,,,,,,,,,,, 531 | ,,,,,,,,,,,,,,,,,,,,,,,,, 532 | ,,,,,,,,,,,,,,,,,,,,,,,,, 533 | ,,,,,,,,,,,,,,,,,,,,,,,,, 534 | ,,,,,,,,,,,,,,,,,,,,,,,,, 535 | ,,,,,,,,,,,,,,,,,,,,,,,,, 536 | ,,,,,,,,,,,,,,,,,,,,,,,,, 537 | ,,,,,,,,,,,,,,,,,,,,,,,,, 538 | ,,,,,,,,,,,,,,,,,,,,,,,,, 539 | ,,,,,,,,,,,,,,,,,,,,,,,,, 540 | ,,,,,,,,,,,,,,,,,,,,,,,,, 541 | ,,,,,,,,,,,,,,,,,,,,,,,,, 542 | ,,,,,,,,,,,,,,,,,,,,,,,,, 543 | ,,,,,,,,,,,,,,,,,,,,,,,,, 544 | ,,,,,,,,,,,,,,,,,,,,,,,,, 545 | ,,,,,,,,,,,,,,,,,,,,,,,,, 546 | ,,,,,,,,,,,,,,,,,,,,,,,,, 547 | ,,,,,,,,,,,,,,,,,,,,,,,,, 548 | ,,,,,,,,,,,,,,,,,,,,,,,,, 549 | ,,,,,,,,,,,,,,,,,,,,,,,,, 550 | ,,,,,,,,,,,,,,,,,,,,,,,,, 551 | ,,,,,,,,,,,,,,,,,,,,,,,,, 552 | ,,,,,,,,,,,,,,,,,,,,,,,,, 553 | ,,,,,,,,,,,,,,,,,,,,,,,,, 554 | ,,,,,,,,,,,,,,,,,,,,,,,,, 555 | ,,,,,,,,,,,,,,,,,,,,,,,,, 556 | ,,,,,,,,,,,,,,,,,,,,,,,,, 557 | ,,,,,,,,,,,,,,,,,,,,,,,,, 558 | ,,,,,,,,,,,,,,,,,,,,,,,,, 559 | ,,,,,,,,,,,,,,,,,,,,,,,,, 560 | ,,,,,,,,,,,,,,,,,,,,,,,,, 561 | ,,,,,,,,,,,,,,,,,,,,,,,,, 562 | ,,,,,,,,,,,,,,,,,,,,,,,,, 563 | ,,,,,,,,,,,,,,,,,,,,,,,,, 564 | ,,,,,,,,,,,,,,,,,,,,,,,,, 565 | ,,,,,,,,,,,,,,,,,,,,,,,,, 566 | ,,,,,,,,,,,,,,,,,,,,,,,,, 567 | ,,,,,,,,,,,,,,,,,,,,,,,,, 568 | ,,,,,,,,,,,,,,,,,,,,,,,,, 569 | ,,,,,,,,,,,,,,,,,,,,,,,,, 570 | ,,,,,,,,,,,,,,,,,,,,,,,,, 571 | ,,,,,,,,,,,,,,,,,,,,,,,,, 572 | ,,,,,,,,,,,,,,,,,,,,,,,,, 573 | ,,,,,,,,,,,,,,,,,,,,,,,,, 574 | ,,,,,,,,,,,,,,,,,,,,,,,,, 575 | ,,,,,,,,,,,,,,,,,,,,,,,,, 576 | ,,,,,,,,,,,,,,,,,,,,,,,,, 577 | ,,,,,,,,,,,,,,,,,,,,,,,,, 578 | ,,,,,,,,,,,,,,,,,,,,,,,,, 579 | ,,,,,,,,,,,,,,,,,,,,,,,,, 580 | ,,,,,,,,,,,,,,,,,,,,,,,,, 581 | ,,,,,,,,,,,,,,,,,,,,,,,,, 582 | ,,,,,,,,,,,,,,,,,,,,,,,,, 583 | ,,,,,,,,,,,,,,,,,,,,,,,,, 584 | ,,,,,,,,,,,,,,,,,,,,,,,,, 585 | ,,,,,,,,,,,,,,,,,,,,,,,,, 586 | ,,,,,,,,,,,,,,,,,,,,,,,,, 587 | ,,,,,,,,,,,,,,,,,,,,,,,,, 588 | ,,,,,,,,,,,,,,,,,,,,,,,,, 589 | ,,,,,,,,,,,,,,,,,,,,,,,,, 590 | ,,,,,,,,,,,,,,,,,,,,,,,,, 591 | ,,,,,,,,,,,,,,,,,,,,,,,,, 592 | ,,,,,,,,,,,,,,,,,,,,,,,,, 593 | ,,,,,,,,,,,,,,,,,,,,,,,,, 594 | ,,,,,,,,,,,,,,,,,,,,,,,,, 595 | ,,,,,,,,,,,,,,,,,,,,,,,,, 596 | ,,,,,,,,,,,,,,,,,,,,,,,,, 597 | ,,,,,,,,,,,,,,,,,,,,,,,,, 598 | ,,,,,,,,,,,,,,,,,,,,,,,,, 599 | ,,,,,,,,,,,,,,,,,,,,,,,,, 600 | ,,,,,,,,,,,,,,,,,,,,,,,,, 601 | ,,,,,,,,,,,,,,,,,,,,,,,,, 602 | ,,,,,,,,,,,,,,,,,,,,,,,,, 603 | ,,,,,,,,,,,,,,,,,,,,,,,,, 604 | ,,,,,,,,,,,,,,,,,,,,,,,,, 605 | ,,,,,,,,,,,,,,,,,,,,,,,,, 606 | ,,,,,,,,,,,,,,,,,,,,,,,,, 607 | ,,,,,,,,,,,,,,,,,,,,,,,,, 608 | ,,,,,,,,,,,,,,,,,,,,,,,,, 609 | ,,,,,,,,,,,,,,,,,,,,,,,,, 610 | ,,,,,,,,,,,,,,,,,,,,,,,,, 611 | ,,,,,,,,,,,,,,,,,,,,,,,,, 612 | ,,,,,,,,,,,,,,,,,,,,,,,,, 613 | ,,,,,,,,,,,,,,,,,,,,,,,,, 614 | ,,,,,,,,,,,,,,,,,,,,,,,,, 615 | ,,,,,,,,,,,,,,,,,,,,,,,,, 616 | ,,,,,,,,,,,,,,,,,,,,,,,,, 617 | ,,,,,,,,,,,,,,,,,,,,,,,,, 618 | ,,,,,,,,,,,,,,,,,,,,,,,,, 619 | ,,,,,,,,,,,,,,,,,,,,,,,,, 620 | ,,,,,,,,,,,,,,,,,,,,,,,,, 621 | ,,,,,,,,,,,,,,,,,,,,,,,,, 622 | ,,,,,,,,,,,,,,,,,,,,,,,,, 623 | ,,,,,,,,,,,,,,,,,,,,,,,,, 624 | ,,,,,,,,,,,,,,,,,,,,,,,,, 625 | ,,,,,,,,,,,,,,,,,,,,,,,,, 626 | ,,,,,,,,,,,,,,,,,,,,,,,,, 627 | ,,,,,,,,,,,,,,,,,,,,,,,,, 628 | ,,,,,,,,,,,,,,,,,,,,,,,,, 629 | ,,,,,,,,,,,,,,,,,,,,,,,,, 630 | ,,,,,,,,,,,,,,,,,,,,,,,,, 631 | ,,,,,,,,,,,,,,,,,,,,,,,,, 632 | ,,,,,,,,,,,,,,,,,,,,,,,,, 633 | ,,,,,,,,,,,,,,,,,,,,,,,,, 634 | ,,,,,,,,,,,,,,,,,,,,,,,,, 635 | ,,,,,,,,,,,,,,,,,,,,,,,,, 636 | ,,,,,,,,,,,,,,,,,,,,,,,,, 637 | ,,,,,,,,,,,,,,,,,,,,,,,,, 638 | ,,,,,,,,,,,,,,,,,,,,,,,,, 639 | ,,,,,,,,,,,,,,,,,,,,,,,,, 640 | ,,,,,,,,,,,,,,,,,,,,,,,,, 641 | ,,,,,,,,,,,,,,,,,,,,,,,,, 642 | ,,,,,,,,,,,,,,,,,,,,,,,,, 643 | ,,,,,,,,,,,,,,,,,,,,,,,,, 644 | ,,,,,,,,,,,,,,,,,,,,,,,,, 645 | ,,,,,,,,,,,,,,,,,,,,,,,,, 646 | ,,,,,,,,,,,,,,,,,,,,,,,,, 647 | ,,,,,,,,,,,,,,,,,,,,,,,,, 648 | ,,,,,,,,,,,,,,,,,,,,,,,,, 649 | ,,,,,,,,,,,,,,,,,,,,,,,,, 650 | ,,,,,,,,,,,,,,,,,,,,,,,,, 651 | ,,,,,,,,,,,,,,,,,,,,,,,,, 652 | ,,,,,,,,,,,,,,,,,,,,,,,,, 653 | ,,,,,,,,,,,,,,,,,,,,,,,,, 654 | ,,,,,,,,,,,,,,,,,,,,,,,,, 655 | ,,,,,,,,,,,,,,,,,,,,,,,,, 656 | ,,,,,,,,,,,,,,,,,,,,,,,,, 657 | ,,,,,,,,,,,,,,,,,,,,,,,,, 658 | ,,,,,,,,,,,,,,,,,,,,,,,,, 659 | ,,,,,,,,,,,,,,,,,,,,,,,,, 660 | ,,,,,,,,,,,,,,,,,,,,,,,,, 661 | ,,,,,,,,,,,,,,,,,,,,,,,,, 662 | ,,,,,,,,,,,,,,,,,,,,,,,,, 663 | ,,,,,,,,,,,,,,,,,,,,,,,,, 664 | ,,,,,,,,,,,,,,,,,,,,,,,,, 665 | ,,,,,,,,,,,,,,,,,,,,,,,,, 666 | ,,,,,,,,,,,,,,,,,,,,,,,,, 667 | ,,,,,,,,,,,,,,,,,,,,,,,,, 668 | ,,,,,,,,,,,,,,,,,,,,,,,,, 669 | ,,,,,,,,,,,,,,,,,,,,,,,,, 670 | ,,,,,,,,,,,,,,,,,,,,,,,,, 671 | ,,,,,,,,,,,,,,,,,,,,,,,,, 672 | ,,,,,,,,,,,,,,,,,,,,,,,,, 673 | ,,,,,,,,,,,,,,,,,,,,,,,,, 674 | ,,,,,,,,,,,,,,,,,,,,,,,,, 675 | ,,,,,,,,,,,,,,,,,,,,,,,,, 676 | ,,,,,,,,,,,,,,,,,,,,,,,,, 677 | ,,,,,,,,,,,,,,,,,,,,,,,,, 678 | ,,,,,,,,,,,,,,,,,,,,,,,,, 679 | ,,,,,,,,,,,,,,,,,,,,,,,,, 680 | ,,,,,,,,,,,,,,,,,,,,,,,,, 681 | ,,,,,,,,,,,,,,,,,,,,,,,,, 682 | ,,,,,,,,,,,,,,,,,,,,,,,,, 683 | ,,,,,,,,,,,,,,,,,,,,,,,,, 684 | ,,,,,,,,,,,,,,,,,,,,,,,,, 685 | ,,,,,,,,,,,,,,,,,,,,,,,,, 686 | ,,,,,,,,,,,,,,,,,,,,,,,,, 687 | ,,,,,,,,,,,,,,,,,,,,,,,,, 688 | ,,,,,,,,,,,,,,,,,,,,,,,,, 689 | ,,,,,,,,,,,,,,,,,,,,,,,,, 690 | ,,,,,,,,,,,,,,,,,,,,,,,,, 691 | ,,,,,,,,,,,,,,,,,,,,,,,,, 692 | ,,,,,,,,,,,,,,,,,,,,,,,,, 693 | ,,,,,,,,,,,,,,,,,,,,,,,,, 694 | ,,,,,,,,,,,,,,,,,,,,,,,,, 695 | ,,,,,,,,,,,,,,,,,,,,,,,,, 696 | ,,,,,,,,,,,,,,,,,,,,,,,,, 697 | ,,,,,,,,,,,,,,,,,,,,,,,,, 698 | ,,,,,,,,,,,,,,,,,,,,,,,,, 699 | ,,,,,,,,,,,,,,,,,,,,,,,,, 700 | ,,,,,,,,,,,,,,,,,,,,,,,,, 701 | ,,,,,,,,,,,,,,,,,,,,,,,,, 702 | ,,,,,,,,,,,,,,,,,,,,,,,,, 703 | ,,,,,,,,,,,,,,,,,,,,,,,,, 704 | ,,,,,,,,,,,,,,,,,,,,,,,,, 705 | ,,,,,,,,,,,,,,,,,,,,,,,,, 706 | ,,,,,,,,,,,,,,,,,,,,,,,,, 707 | ,,,,,,,,,,,,,,,,,,,,,,,,, 708 | ,,,,,,,,,,,,,,,,,,,,,,,,, 709 | ,,,,,,,,,,,,,,,,,,,,,,,,, 710 | ,,,,,,,,,,,,,,,,,,,,,,,,, 711 | ,,,,,,,,,,,,,,,,,,,,,,,,, 712 | ,,,,,,,,,,,,,,,,,,,,,,,,, 713 | ,,,,,,,,,,,,,,,,,,,,,,,,, 714 | ,,,,,,,,,,,,,,,,,,,,,,,,, 715 | ,,,,,,,,,,,,,,,,,,,,,,,,, 716 | ,,,,,,,,,,,,,,,,,,,,,,,,, 717 | ,,,,,,,,,,,,,,,,,,,,,,,,, 718 | ,,,,,,,,,,,,,,,,,,,,,,,,, 719 | ,,,,,,,,,,,,,,,,,,,,,,,,, 720 | ,,,,,,,,,,,,,,,,,,,,,,,,, 721 | ,,,,,,,,,,,,,,,,,,,,,,,,, 722 | ,,,,,,,,,,,,,,,,,,,,,,,,, 723 | ,,,,,,,,,,,,,,,,,,,,,,,,, 724 | ,,,,,,,,,,,,,,,,,,,,,,,,, 725 | ,,,,,,,,,,,,,,,,,,,,,,,,, 726 | ,,,,,,,,,,,,,,,,,,,,,,,,, 727 | ,,,,,,,,,,,,,,,,,,,,,,,,, 728 | ,,,,,,,,,,,,,,,,,,,,,,,,, 729 | ,,,,,,,,,,,,,,,,,,,,,,,,, 730 | ,,,,,,,,,,,,,,,,,,,,,,,,, 731 | ,,,,,,,,,,,,,,,,,,,,,,,,, 732 | ,,,,,,,,,,,,,,,,,,,,,,,,, 733 | ,,,,,,,,,,,,,,,,,,,,,,,,, 734 | ,,,,,,,,,,,,,,,,,,,,,,,,, 735 | ,,,,,,,,,,,,,,,,,,,,,,,,, 736 | ,,,,,,,,,,,,,,,,,,,,,,,,, 737 | ,,,,,,,,,,,,,,,,,,,,,,,,, 738 | ,,,,,,,,,,,,,,,,,,,,,,,,, 739 | ,,,,,,,,,,,,,,,,,,,,,,,,, 740 | ,,,,,,,,,,,,,,,,,,,,,,,,, 741 | ,,,,,,,,,,,,,,,,,,,,,,,,, 742 | ,,,,,,,,,,,,,,,,,,,,,,,,, 743 | ,,,,,,,,,,,,,,,,,,,,,,,,, 744 | ,,,,,,,,,,,,,,,,,,,,,,,,, 745 | ,,,,,,,,,,,,,,,,,,,,,,,,, 746 | ,,,,,,,,,,,,,,,,,,,,,,,,, 747 | ,,,,,,,,,,,,,,,,,,,,,,,,, 748 | ,,,,,,,,,,,,,,,,,,,,,,,,, 749 | ,,,,,,,,,,,,,,,,,,,,,,,,, 750 | ,,,,,,,,,,,,,,,,,,,,,,,,, 751 | ,,,,,,,,,,,,,,,,,,,,,,,,, 752 | ,,,,,,,,,,,,,,,,,,,,,,,,, 753 | ,,,,,,,,,,,,,,,,,,,,,,,,, 754 | ,,,,,,,,,,,,,,,,,,,,,,,,, 755 | ,,,,,,,,,,,,,,,,,,,,,,,,, 756 | ,,,,,,,,,,,,,,,,,,,,,,,,, 757 | ,,,,,,,,,,,,,,,,,,,,,,,,, 758 | ,,,,,,,,,,,,,,,,,,,,,,,,, 759 | ,,,,,,,,,,,,,,,,,,,,,,,,, 760 | ,,,,,,,,,,,,,,,,,,,,,,,,, 761 | ,,,,,,,,,,,,,,,,,,,,,,,,, 762 | ,,,,,,,,,,,,,,,,,,,,,,,,, 763 | ,,,,,,,,,,,,,,,,,,,,,,,,, 764 | ,,,,,,,,,,,,,,,,,,,,,,,,, 765 | ,,,,,,,,,,,,,,,,,,,,,,,,, 766 | ,,,,,,,,,,,,,,,,,,,,,,,,, 767 | ,,,,,,,,,,,,,,,,,,,,,,,,, 768 | ,,,,,,,,,,,,,,,,,,,,,,,,, 769 | ,,,,,,,,,,,,,,,,,,,,,,,,, 770 | ,,,,,,,,,,,,,,,,,,,,,,,,, 771 | ,,,,,,,,,,,,,,,,,,,,,,,,, 772 | ,,,,,,,,,,,,,,,,,,,,,,,,, 773 | ,,,,,,,,,,,,,,,,,,,,,,,,, 774 | ,,,,,,,,,,,,,,,,,,,,,,,,, 775 | ,,,,,,,,,,,,,,,,,,,,,,,,, 776 | ,,,,,,,,,,,,,,,,,,,,,,,,, 777 | ,,,,,,,,,,,,,,,,,,,,,,,,, 778 | ,,,,,,,,,,,,,,,,,,,,,,,,, 779 | ,,,,,,,,,,,,,,,,,,,,,,,,, 780 | ,,,,,,,,,,,,,,,,,,,,,,,,, 781 | ,,,,,,,,,,,,,,,,,,,,,,,,, 782 | ,,,,,,,,,,,,,,,,,,,,,,,,, 783 | ,,,,,,,,,,,,,,,,,,,,,,,,, 784 | ,,,,,,,,,,,,,,,,,,,,,,,,, 785 | ,,,,,,,,,,,,,,,,,,,,,,,,, 786 | ,,,,,,,,,,,,,,,,,,,,,,,,, 787 | ,,,,,,,,,,,,,,,,,,,,,,,,, 788 | ,,,,,,,,,,,,,,,,,,,,,,,,, 789 | ,,,,,,,,,,,,,,,,,,,,,,,,, 790 | ,,,,,,,,,,,,,,,,,,,,,,,,, 791 | ,,,,,,,,,,,,,,,,,,,,,,,,, 792 | ,,,,,,,,,,,,,,,,,,,,,,,,, 793 | ,,,,,,,,,,,,,,,,,,,,,,,,, 794 | ,,,,,,,,,,,,,,,,,,,,,,,,, 795 | ,,,,,,,,,,,,,,,,,,,,,,,,, 796 | ,,,,,,,,,,,,,,,,,,,,,,,,, 797 | ,,,,,,,,,,,,,,,,,,,,,,,,, 798 | ,,,,,,,,,,,,,,,,,,,,,,,,, 799 | ,,,,,,,,,,,,,,,,,,,,,,,,, 800 | ,,,,,,,,,,,,,,,,,,,,,,,,, 801 | ,,,,,,,,,,,,,,,,,,,,,,,,, 802 | ,,,,,,,,,,,,,,,,,,,,,,,,, 803 | ,,,,,,,,,,,,,,,,,,,,,,,,, 804 | ,,,,,,,,,,,,,,,,,,,,,,,,, 805 | ,,,,,,,,,,,,,,,,,,,,,,,,, 806 | ,,,,,,,,,,,,,,,,,,,,,,,,, 807 | ,,,,,,,,,,,,,,,,,,,,,,,,, 808 | ,,,,,,,,,,,,,,,,,,,,,,,,, 809 | ,,,,,,,,,,,,,,,,,,,,,,,,, 810 | ,,,,,,,,,,,,,,,,,,,,,,,,, 811 | ,,,,,,,,,,,,,,,,,,,,,,,,, 812 | ,,,,,,,,,,,,,,,,,,,,,,,,, 813 | ,,,,,,,,,,,,,,,,,,,,,,,,, 814 | ,,,,,,,,,,,,,,,,,,,,,,,,, 815 | ,,,,,,,,,,,,,,,,,,,,,,,,, 816 | ,,,,,,,,,,,,,,,,,,,,,,,,, 817 | ,,,,,,,,,,,,,,,,,,,,,,,,, 818 | ,,,,,,,,,,,,,,,,,,,,,,,,, 819 | ,,,,,,,,,,,,,,,,,,,,,,,,, 820 | ,,,,,,,,,,,,,,,,,,,,,,,,, 821 | ,,,,,,,,,,,,,,,,,,,,,,,,, 822 | ,,,,,,,,,,,,,,,,,,,,,,,,, 823 | ,,,,,,,,,,,,,,,,,,,,,,,,, 824 | ,,,,,,,,,,,,,,,,,,,,,,,,, 825 | ,,,,,,,,,,,,,,,,,,,,,,,,, 826 | ,,,,,,,,,,,,,,,,,,,,,,,,, 827 | ,,,,,,,,,,,,,,,,,,,,,,,,, 828 | ,,,,,,,,,,,,,,,,,,,,,,,,, 829 | ,,,,,,,,,,,,,,,,,,,,,,,,, 830 | ,,,,,,,,,,,,,,,,,,,,,,,,, 831 | ,,,,,,,,,,,,,,,,,,,,,,,,, 832 | ,,,,,,,,,,,,,,,,,,,,,,,,, 833 | ,,,,,,,,,,,,,,,,,,,,,,,,, 834 | ,,,,,,,,,,,,,,,,,,,,,,,,, 835 | ,,,,,,,,,,,,,,,,,,,,,,,,, 836 | ,,,,,,,,,,,,,,,,,,,,,,,,, 837 | ,,,,,,,,,,,,,,,,,,,,,,,,, 838 | ,,,,,,,,,,,,,,,,,,,,,,,,, 839 | ,,,,,,,,,,,,,,,,,,,,,,,,, 840 | ,,,,,,,,,,,,,,,,,,,,,,,,, 841 | ,,,,,,,,,,,,,,,,,,,,,,,,, 842 | ,,,,,,,,,,,,,,,,,,,,,,,,, 843 | ,,,,,,,,,,,,,,,,,,,,,,,,, 844 | ,,,,,,,,,,,,,,,,,,,,,,,,, 845 | ,,,,,,,,,,,,,,,,,,,,,,,,, 846 | ,,,,,,,,,,,,,,,,,,,,,,,,, 847 | ,,,,,,,,,,,,,,,,,,,,,,,,, 848 | ,,,,,,,,,,,,,,,,,,,,,,,,, 849 | ,,,,,,,,,,,,,,,,,,,,,,,,, 850 | ,,,,,,,,,,,,,,,,,,,,,,,,, 851 | ,,,,,,,,,,,,,,,,,,,,,,,,, 852 | ,,,,,,,,,,,,,,,,,,,,,,,,, 853 | ,,,,,,,,,,,,,,,,,,,,,,,,, 854 | ,,,,,,,,,,,,,,,,,,,,,,,,, 855 | ,,,,,,,,,,,,,,,,,,,,,,,,, 856 | ,,,,,,,,,,,,,,,,,,,,,,,,, 857 | ,,,,,,,,,,,,,,,,,,,,,,,,, 858 | ,,,,,,,,,,,,,,,,,,,,,,,,, 859 | ,,,,,,,,,,,,,,,,,,,,,,,,, 860 | ,,,,,,,,,,,,,,,,,,,,,,,,, 861 | ,,,,,,,,,,,,,,,,,,,,,,,,, 862 | ,,,,,,,,,,,,,,,,,,,,,,,,, 863 | ,,,,,,,,,,,,,,,,,,,,,,,,, 864 | ,,,,,,,,,,,,,,,,,,,,,,,,, 865 | ,,,,,,,,,,,,,,,,,,,,,,,,, 866 | ,,,,,,,,,,,,,,,,,,,,,,,,, 867 | ,,,,,,,,,,,,,,,,,,,,,,,,, 868 | ,,,,,,,,,,,,,,,,,,,,,,,,, 869 | ,,,,,,,,,,,,,,,,,,,,,,,,, 870 | ,,,,,,,,,,,,,,,,,,,,,,,,, 871 | ,,,,,,,,,,,,,,,,,,,,,,,,, 872 | ,,,,,,,,,,,,,,,,,,,,,,,,, 873 | ,,,,,,,,,,,,,,,,,,,,,,,,, 874 | ,,,,,,,,,,,,,,,,,,,,,,,,, 875 | ,,,,,,,,,,,,,,,,,,,,,,,,, 876 | ,,,,,,,,,,,,,,,,,,,,,,,,, 877 | ,,,,,,,,,,,,,,,,,,,,,,,,, 878 | ,,,,,,,,,,,,,,,,,,,,,,,,, 879 | ,,,,,,,,,,,,,,,,,,,,,,,,, 880 | ,,,,,,,,,,,,,,,,,,,,,,,,, 881 | ,,,,,,,,,,,,,,,,,,,,,,,,, 882 | ,,,,,,,,,,,,,,,,,,,,,,,,, 883 | ,,,,,,,,,,,,,,,,,,,,,,,,, 884 | ,,,,,,,,,,,,,,,,,,,,,,,,, 885 | ,,,,,,,,,,,,,,,,,,,,,,,,, 886 | ,,,,,,,,,,,,,,,,,,,,,,,,, 887 | ,,,,,,,,,,,,,,,,,,,,,,,,, 888 | ,,,,,,,,,,,,,,,,,,,,,,,,, 889 | ,,,,,,,,,,,,,,,,,,,,,,,,, 890 | ,,,,,,,,,,,,,,,,,,,,,,,,, 891 | ,,,,,,,,,,,,,,,,,,,,,,,,, 892 | ,,,,,,,,,,,,,,,,,,,,,,,,, 893 | ,,,,,,,,,,,,,,,,,,,,,,,,, 894 | ,,,,,,,,,,,,,,,,,,,,,,,,, 895 | ,,,,,,,,,,,,,,,,,,,,,,,,, 896 | ,,,,,,,,,,,,,,,,,,,,,,,,, 897 | ,,,,,,,,,,,,,,,,,,,,,,,,, 898 | ,,,,,,,,,,,,,,,,,,,,,,,,, 899 | ,,,,,,,,,,,,,,,,,,,,,,,,, 900 | ,,,,,,,,,,,,,,,,,,,,,,,,, 901 | ,,,,,,,,,,,,,,,,,,,,,,,,, 902 | ,,,,,,,,,,,,,,,,,,,,,,,,, 903 | ,,,,,,,,,,,,,,,,,,,,,,,,, 904 | ,,,,,,,,,,,,,,,,,,,,,,,,, 905 | ,,,,,,,,,,,,,,,,,,,,,,,,, 906 | ,,,,,,,,,,,,,,,,,,,,,,,,, 907 | ,,,,,,,,,,,,,,,,,,,,,,,,, 908 | ,,,,,,,,,,,,,,,,,,,,,,,,, 909 | ,,,,,,,,,,,,,,,,,,,,,,,,, 910 | ,,,,,,,,,,,,,,,,,,,,,,,,, 911 | ,,,,,,,,,,,,,,,,,,,,,,,,, 912 | ,,,,,,,,,,,,,,,,,,,,,,,,, 913 | ,,,,,,,,,,,,,,,,,,,,,,,,, 914 | ,,,,,,,,,,,,,,,,,,,,,,,,, 915 | ,,,,,,,,,,,,,,,,,,,,,,,,, 916 | ,,,,,,,,,,,,,,,,,,,,,,,,, 917 | ,,,,,,,,,,,,,,,,,,,,,,,,, 918 | ,,,,,,,,,,,,,,,,,,,,,,,,, 919 | ,,,,,,,,,,,,,,,,,,,,,,,,, 920 | ,,,,,,,,,,,,,,,,,,,,,,,,, 921 | ,,,,,,,,,,,,,,,,,,,,,,,,, 922 | ,,,,,,,,,,,,,,,,,,,,,,,,, 923 | ,,,,,,,,,,,,,,,,,,,,,,,,, 924 | ,,,,,,,,,,,,,,,,,,,,,,,,, 925 | ,,,,,,,,,,,,,,,,,,,,,,,,, 926 | ,,,,,,,,,,,,,,,,,,,,,,,,, 927 | ,,,,,,,,,,,,,,,,,,,,,,,,, 928 | ,,,,,,,,,,,,,,,,,,,,,,,,, 929 | ,,,,,,,,,,,,,,,,,,,,,,,,, 930 | ,,,,,,,,,,,,,,,,,,,,,,,,, 931 | ,,,,,,,,,,,,,,,,,,,,,,,,, 932 | ,,,,,,,,,,,,,,,,,,,,,,,,, 933 | ,,,,,,,,,,,,,,,,,,,,,,,,, 934 | ,,,,,,,,,,,,,,,,,,,,,,,,, 935 | ,,,,,,,,,,,,,,,,,,,,,,,,, 936 | ,,,,,,,,,,,,,,,,,,,,,,,,, 937 | ,,,,,,,,,,,,,,,,,,,,,,,,, 938 | ,,,,,,,,,,,,,,,,,,,,,,,,, 939 | ,,,,,,,,,,,,,,,,,,,,,,,,, 940 | ,,,,,,,,,,,,,,,,,,,,,,,,, 941 | ,,,,,,,,,,,,,,,,,,,,,,,,, 942 | ,,,,,,,,,,,,,,,,,,,,,,,,, 943 | ,,,,,,,,,,,,,,,,,,,,,,,,, 944 | ,,,,,,,,,,,,,,,,,,,,,,,,, 945 | ,,,,,,,,,,,,,,,,,,,,,,,,, 946 | ,,,,,,,,,,,,,,,,,,,,,,,,, 947 | ,,,,,,,,,,,,,,,,,,,,,,,,, 948 | ,,,,,,,,,,,,,,,,,,,,,,,,, 949 | ,,,,,,,,,,,,,,,,,,,,,,,,, 950 | ,,,,,,,,,,,,,,,,,,,,,,,,, 951 | ,,,,,,,,,,,,,,,,,,,,,,,,, 952 | ,,,,,,,,,,,,,,,,,,,,,,,,, 953 | ,,,,,,,,,,,,,,,,,,,,,,,,, 954 | ,,,,,,,,,,,,,,,,,,,,,,,,, 955 | ,,,,,,,,,,,,,,,,,,,,,,,,, 956 | ,,,,,,,,,,,,,,,,,,,,,,,,, 957 | ,,,,,,,,,,,,,,,,,,,,,,,,, 958 | ,,,,,,,,,,,,,,,,,,,,,,,,, 959 | ,,,,,,,,,,,,,,,,,,,,,,,,, 960 | ,,,,,,,,,,,,,,,,,,,,,,,,, 961 | ,,,,,,,,,,,,,,,,,,,,,,,,, 962 | ,,,,,,,,,,,,,,,,,,,,,,,,, 963 | ,,,,,,,,,,,,,,,,,,,,,,,,, 964 | ,,,,,,,,,,,,,,,,,,,,,,,,, 965 | ,,,,,,,,,,,,,,,,,,,,,,,,, 966 | ,,,,,,,,,,,,,,,,,,,,,,,,, 967 | ,,,,,,,,,,,,,,,,,,,,,,,,, 968 | ,,,,,,,,,,,,,,,,,,,,,,,,, 969 | ,,,,,,,,,,,,,,,,,,,,,,,,, 970 | ,,,,,,,,,,,,,,,,,,,,,,,,, 971 | ,,,,,,,,,,,,,,,,,,,,,,,,, 972 | ,,,,,,,,,,,,,,,,,,,,,,,,, 973 | ,,,,,,,,,,,,,,,,,,,,,,,,, 974 | ,,,,,,,,,,,,,,,,,,,,,,,,, 975 | ,,,,,,,,,,,,,,,,,,,,,,,,, 976 | ,,,,,,,,,,,,,,,,,,,,,,,,, 977 | ,,,,,,,,,,,,,,,,,,,,,,,,, 978 | ,,,,,,,,,,,,,,,,,,,,,,,,, 979 | ,,,,,,,,,,,,,,,,,,,,,,,,, 980 | ,,,,,,,,,,,,,,,,,,,,,,,,, 981 | ,,,,,,,,,,,,,,,,,,,,,,,,, 982 | ,,,,,,,,,,,,,,,,,,,,,,,,, 983 | ,,,,,,,,,,,,,,,,,,,,,,,,, 984 | ,,,,,,,,,,,,,,,,,,,,,,,,, 985 | ,,,,,,,,,,,,,,,,,,,,,,,,, 986 | ,,,,,,,,,,,,,,,,,,,,,,,,, 987 | ,,,,,,,,,,,,,,,,,,,,,,,,, 988 | ,,,,,,,,,,,,,,,,,,,,,,,,, 989 | ,,,,,,,,,,,,,,,,,,,,,,,,, 990 | ,,,,,,,,,,,,,,,,,,,,,,,,, 991 | ,,,,,,,,,,,,,,,,,,,,,,,,, 992 | ,,,,,,,,,,,,,,,,,,,,,,,,, 993 | ,,,,,,,,,,,,,,,,,,,,,,,,, 994 | ,,,,,,,,,,,,,,,,,,,,,,,,, 995 | ,,,,,,,,,,,,,,,,,,,,,,,,, 996 | ,,,,,,,,,,,,,,,,,,,,,,,,, 997 | ,,,,,,,,,,,,,,,,,,,,,,,,, 998 | ,,,,,,,,,,,,,,,,,,,,,,,,, 999 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1000 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1001 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1002 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1003 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1004 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1005 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1006 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1007 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1008 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1009 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1010 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1011 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1012 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1013 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1014 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1015 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1016 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1017 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1018 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1019 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1020 | ,,,,,,,,,,,,,,,,,,,,,,,,, 1021 | -------------------------------------------------------------------------------- /Data_Extraction_and_Text_Analysis.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "nbformat": 4, 3 | "nbformat_minor": 0, 4 | "metadata": { 5 | "colab": { 6 | "name": "Data_Extraction_and_Text_Analysis.ipynb", 7 | "provenance": [], 8 | "include_colab_link": true 9 | }, 10 | "kernelspec": { 11 | "name": "python3", 12 | "display_name": "Python 3" 13 | }, 14 | "language_info": { 15 | "name": "python" 16 | } 17 | }, 18 | "cells": [ 19 | { 20 | "cell_type": "markdown", 21 | "metadata": { 22 | "id": "view-in-github", 23 | "colab_type": "text" 24 | }, 25 | "source": [ 26 | "\"Open" 27 | ] 28 | }, 29 | { 30 | "cell_type": "code", 31 | "execution_count": null, 32 | "metadata": { 33 | "id": "Qc6rCk68pjiI" 34 | }, 35 | "outputs": [], 36 | "source": [ 37 | "#importing library\n", 38 | "import pandas as pd\n", 39 | "import requests\n", 40 | "from bs4 import BeautifulSoup\n", 41 | "import numpy as np\n", 42 | "from google.colab import files\n", 43 | "import nltk\n", 44 | "import string\n", 45 | "nltk.download('punkt')" 46 | ] 47 | }, 48 | { 49 | "cell_type": "code", 50 | "source": [ 51 | "from google.colab import drive\n", 52 | "drive.mount('/content/drive')" 53 | ], 54 | "metadata": { 55 | "colab": { 56 | "base_uri": "https://localhost:8080/" 57 | }, 58 | "id": "EZOpO9Wr2N-q", 59 | "outputId": "a712f270-5db9-471e-b1a9-61cd327f38e3" 60 | }, 61 | "execution_count": null, 62 | "outputs": [ 63 | { 64 | "output_type": "stream", 65 | "name": "stdout", 66 | "text": [ 67 | "Mounted at /content/drive\n" 68 | ] 69 | } 70 | ] 71 | }, 72 | { 73 | "cell_type": "code", 74 | "source": [ 75 | "#importing input file\n", 76 | "df=pd.read_csv('/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/Input.csv')[['URL_ID','URL']]" 77 | ], 78 | "metadata": { 79 | "id": "j3wAqjmppkVC" 80 | }, 81 | "execution_count": null, 82 | "outputs": [] 83 | }, 84 | { 85 | "cell_type": "code", 86 | "source": [ 87 | "\n", 88 | "df=df.iloc[0:150]" 89 | ], 90 | "metadata": { 91 | "id": "SrEPOMu2pkPk" 92 | }, 93 | "execution_count": null, 94 | "outputs": [] 95 | }, 96 | { 97 | "cell_type": "code", 98 | "source": [ 99 | "df" 100 | ], 101 | "metadata": { 102 | "colab": { 103 | "base_uri": "https://localhost:8080/", 104 | "height": 424 105 | }, 106 | "id": "kqvyVaiF3XAt", 107 | "outputId": "fcf2ad2c-88e7-4144-96a8-ae5e86854b5d" 108 | }, 109 | "execution_count": null, 110 | "outputs": [ 111 | { 112 | "output_type": "execute_result", 113 | "data": { 114 | "text/plain": [ 115 | " URL_ID URL\n", 116 | "0 1.0 https://insights.blackcoffer.com/is-telehealth...\n", 117 | "1 2.0 https://insights.blackcoffer.com/how-telehealt...\n", 118 | "2 3.0 https://insights.blackcoffer.com/is-telemedici...\n", 119 | "3 4.0 https://insights.blackcoffer.com/is-telehealth...\n", 120 | "4 5.0 https://insights.blackcoffer.com/how-people-di...\n", 121 | ".. ... ...\n", 122 | "145 146.0 https://insights.blackcoffer.com/blockchain-fo...\n", 123 | "146 147.0 https://insights.blackcoffer.com/the-future-of...\n", 124 | "147 148.0 https://insights.blackcoffer.com/big-data-anal...\n", 125 | "148 149.0 https://insights.blackcoffer.com/business-anal...\n", 126 | "149 150.0 https://insights.blackcoffer.com/challenges-an...\n", 127 | "\n", 128 | "[150 rows x 2 columns]" 129 | ], 130 | "text/html": [ 131 | "\n", 132 | "
\n", 133 | "
\n", 134 | "
\n", 135 | "\n", 148 | "\n", 149 | " \n", 150 | " \n", 151 | " \n", 152 | " \n", 153 | " \n", 154 | " \n", 155 | " \n", 156 | " \n", 157 | " \n", 158 | " \n", 159 | " \n", 160 | " \n", 161 | " \n", 162 | " \n", 163 | " \n", 164 | " \n", 165 | " \n", 166 | " \n", 167 | " \n", 168 | " \n", 169 | " \n", 170 | " \n", 171 | " \n", 172 | " \n", 173 | " \n", 174 | " \n", 175 | " \n", 176 | " \n", 177 | " \n", 178 | " \n", 179 | " \n", 180 | " \n", 181 | " \n", 182 | " \n", 183 | " \n", 184 | " \n", 185 | " \n", 186 | " \n", 187 | " \n", 188 | " \n", 189 | " \n", 190 | " \n", 191 | " \n", 192 | " \n", 193 | " \n", 194 | " \n", 195 | " \n", 196 | " \n", 197 | " \n", 198 | " \n", 199 | " \n", 200 | " \n", 201 | " \n", 202 | " \n", 203 | " \n", 204 | " \n", 205 | " \n", 206 | " \n", 207 | " \n", 208 | " \n", 209 | " \n", 210 | " \n", 211 | " \n", 212 | " \n", 213 | "
URL_IDURL
01.0https://insights.blackcoffer.com/is-telehealth...
12.0https://insights.blackcoffer.com/how-telehealt...
23.0https://insights.blackcoffer.com/is-telemedici...
34.0https://insights.blackcoffer.com/is-telehealth...
45.0https://insights.blackcoffer.com/how-people-di...
.........
145146.0https://insights.blackcoffer.com/blockchain-fo...
146147.0https://insights.blackcoffer.com/the-future-of...
147148.0https://insights.blackcoffer.com/big-data-anal...
148149.0https://insights.blackcoffer.com/business-anal...
149150.0https://insights.blackcoffer.com/challenges-an...
\n", 214 | "

150 rows × 2 columns

\n", 215 | "
\n", 216 | " \n", 226 | " \n", 227 | " \n", 264 | "\n", 265 | " \n", 289 | "
\n", 290 | "
\n", 291 | " " 292 | ] 293 | }, 294 | "metadata": {}, 295 | "execution_count": 5 296 | } 297 | ] 298 | }, 299 | { 300 | "cell_type": "code", 301 | "source": [ 302 | "df.drop('URL_ID',axis=1,inplace=True)" 303 | ], 304 | "metadata": { 305 | "id": "m_-j2x4j3W-G" 306 | }, 307 | "execution_count": null, 308 | "outputs": [] 309 | }, 310 | { 311 | "cell_type": "markdown", 312 | "source": [ 313 | "# Data extraction" 314 | ], 315 | "metadata": { 316 | "id": "G0qbaPKada0c" 317 | } 318 | }, 319 | { 320 | "cell_type": "code", 321 | "source": [ 322 | "#extracting text from all the url\n", 323 | "url_id=1\n", 324 | "for i in range(0,len(df)):\n", 325 | " \n", 326 | " j=df.iloc[i].values\n", 327 | " \n", 328 | " headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}#giving user access\n", 329 | " page=requests.get(j[0],headers=headers)#loading text in url\n", 330 | " soup=BeautifulSoup(page.content,'html.parser')#parsing url text\n", 331 | " content=soup.findAll(attrs={'class':'td-post-content'})#extracting only text part\n", 332 | " content=content[0].text.replace('\\xa0',\" \").replace('\\n',\" \")#replace end line symbol with space \n", 333 | " title=soup.findAll(attrs={'class':'entry-title'})#extracting title of website\n", 334 | " title=title[16].text.replace('\\n',\" \").replace('/',\"\")\n", 335 | " text=title+ '.' +content#merging title and content text\n", 336 | " text=np.array(text)#converting to array form\n", 337 | " text.reshape(1,-1)#changing shape to 1d \n", 338 | " df1=pd.Series(text)#creating series data frame\n", 339 | " b=str(url_id)+\".\"+'txt'#name of the text file\n", 340 | " # with open(b, 'a') as f:#creating text file \n", 341 | " # df1.to_csv(f, line_terminator=',', index=False, header=False)\n", 342 | " # files.download(b)#downloading text file\n", 343 | " url_id+=1\n", 344 | " " 345 | ], 346 | "metadata": { 347 | "id": "czsKjlCH3W32" 348 | }, 349 | "execution_count": null, 350 | "outputs": [] 351 | }, 352 | { 353 | "cell_type": "markdown", 354 | "source": [ 355 | "# Data analysis" 356 | ], 357 | "metadata": { 358 | "id": "ETT5Ce93dW3E" 359 | } 360 | }, 361 | { 362 | "cell_type": "code", 363 | "source": [ 364 | "#importing each extracted files\n", 365 | "text=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/data extract to text/150.txt\",header=None)" 366 | ], 367 | "metadata": { 368 | "id": "gHvRnhT3c3pc" 369 | }, 370 | "execution_count": null, 371 | "outputs": [] 372 | }, 373 | { 374 | "cell_type": "code", 375 | "source": [ 376 | "#information of data frame\n", 377 | "text.info()" 378 | ], 379 | "metadata": { 380 | "colab": { 381 | "base_uri": "https://localhost:8080/" 382 | }, 383 | "id": "99yHj18o_iDU", 384 | "outputId": "9bd6dc9b-95b8-4963-f15c-230c2cb38760" 385 | }, 386 | "execution_count": null, 387 | "outputs": [ 388 | { 389 | "output_type": "stream", 390 | "name": "stdout", 391 | "text": [ 392 | "\n", 393 | "RangeIndex: 1 entries, 0 to 0\n", 394 | "Data columns (total 2 columns):\n", 395 | " # Column Non-Null Count Dtype \n", 396 | "--- ------ -------------- ----- \n", 397 | " 0 0 1 non-null object \n", 398 | " 1 1 0 non-null float64\n", 399 | "dtypes: float64(1), object(1)\n", 400 | "memory usage: 144.0+ bytes\n" 401 | ] 402 | } 403 | ] 404 | }, 405 | { 406 | "cell_type": "code", 407 | "source": [ 408 | "#removing extra created column\n", 409 | "text.drop(1,axis=1,inplace=True)" 410 | ], 411 | "metadata": { 412 | "id": "PSk_xA-XAoQz" 413 | }, 414 | "execution_count": null, 415 | "outputs": [] 416 | }, 417 | { 418 | "cell_type": "code", 419 | "source": [ 420 | "#converting type\n", 421 | "text=text.astype(str)" 422 | ], 423 | "metadata": { 424 | "id": "dzIKncs5BJEj" 425 | }, 426 | "execution_count": null, 427 | "outputs": [] 428 | }, 429 | { 430 | "cell_type": "code", 431 | "source": [ 432 | "#converting text to sentence\n", 433 | "import re\n", 434 | "a=text[0].str.split('([\\.]\\s)',expand=False)#splitting text on '.'\n", 435 | "b=a.explode()#converting to rows\n", 436 | "b=pd.DataFrame(b)#creating data frame\n", 437 | "b.columns=['abc']\n" 438 | ], 439 | "metadata": { 440 | "id": "KCDJzEnU7Ogk" 441 | }, 442 | "execution_count": null, 443 | "outputs": [] 444 | }, 445 | { 446 | "cell_type": "code", 447 | "source": [ 448 | "#removing . char from each rows\n", 449 | "def abcd(x): \n", 450 | " nopunc =[char for char in x if char != '.']\n", 451 | " return ''.join(nopunc)\n", 452 | "b['abc']=b['abc'].apply(abcd)\n" 453 | ], 454 | "metadata": { 455 | "id": "-V-qW6SbTQMW" 456 | }, 457 | "execution_count": null, 458 | "outputs": [] 459 | }, 460 | { 461 | "cell_type": "code", 462 | "source": [ 463 | "#replacing emty space with null values\n", 464 | "c=b.replace('',np.nan,regex=True)\n", 465 | "c=c.mask(c==\" \")\n", 466 | "c=c.dropna()\n", 467 | "c.reset_index(drop=True,inplace=True)" 468 | ], 469 | "metadata": { 470 | "id": "NYwn1576looc" 471 | }, 472 | "execution_count": null, 473 | "outputs": [] 474 | }, 475 | { 476 | "cell_type": "code", 477 | "source": [ 478 | "c" 479 | ], 480 | "metadata": { 481 | "colab": { 482 | "base_uri": "https://localhost:8080/", 483 | "height": 424 484 | }, 485 | "id": "yikIBkKzeoBM", 486 | "outputId": "7485cd91-745e-4540-fbdb-77d3936541c3" 487 | }, 488 | "execution_count": null, 489 | "outputs": [ 490 | { 491 | "output_type": "execute_result", 492 | "data": { 493 | "text/plain": [ 494 | " abc\n", 495 | "0 Challenges and Opportunities of Big Data in He...\n", 496 | "1 Big Data To begin with I shall first like to...\n", 497 | "2 Big data is simply data, but with a huge size\n", 498 | "3 Data that is not just voluminous but also grow...\n", 499 | "4 Such data sets are so large and complex that i...\n", 500 | ".. ...\n", 501 | "61 Scarce resources like data scientists are har...\n", 502 | "62 They are easily poached by competitors\n", 503 | "63 A good and efficient compensation strategy, co...\n", 504 | "64 In a nutshell, we can conclude that while bi...\n", 505 | "65 Blackcoffer Insights 10 | Subhasmita Dey, Xav...\n", 506 | "\n", 507 | "[66 rows x 1 columns]" 508 | ], 509 | "text/html": [ 510 | "\n", 511 | "
\n", 512 | "
\n", 513 | "
\n", 514 | "\n", 527 | "\n", 528 | " \n", 529 | " \n", 530 | " \n", 531 | " \n", 532 | " \n", 533 | " \n", 534 | " \n", 535 | " \n", 536 | " \n", 537 | " \n", 538 | " \n", 539 | " \n", 540 | " \n", 541 | " \n", 542 | " \n", 543 | " \n", 544 | " \n", 545 | " \n", 546 | " \n", 547 | " \n", 548 | " \n", 549 | " \n", 550 | " \n", 551 | " \n", 552 | " \n", 553 | " \n", 554 | " \n", 555 | " \n", 556 | " \n", 557 | " \n", 558 | " \n", 559 | " \n", 560 | " \n", 561 | " \n", 562 | " \n", 563 | " \n", 564 | " \n", 565 | " \n", 566 | " \n", 567 | " \n", 568 | " \n", 569 | " \n", 570 | " \n", 571 | " \n", 572 | " \n", 573 | " \n", 574 | " \n", 575 | " \n", 576 | " \n", 577 | " \n", 578 | " \n", 579 | " \n", 580 | "
abc
0Challenges and Opportunities of Big Data in He...
1Big Data To begin with I shall first like to...
2Big data is simply data, but with a huge size
3Data that is not just voluminous but also grow...
4Such data sets are so large and complex that i...
......
61Scarce resources like data scientists are har...
62They are easily poached by competitors
63A good and efficient compensation strategy, co...
64In a nutshell, we can conclude that while bi...
65Blackcoffer Insights 10 | Subhasmita Dey, Xav...
\n", 581 | "

66 rows × 1 columns

\n", 582 | "
\n", 583 | " \n", 593 | " \n", 594 | " \n", 631 | "\n", 632 | " \n", 656 | "
\n", 657 | "
\n", 658 | " " 659 | ] 660 | }, 661 | "metadata": {}, 662 | "execution_count": 8032 663 | } 664 | ] 665 | }, 666 | { 667 | "cell_type": "code", 668 | "source": [ 669 | "#importing nltk library and stopwords\n", 670 | "import nltk\n", 671 | "import string\n" 672 | ], 673 | "metadata": { 674 | "id": "iyBSH3bJc3ms" 675 | }, 676 | "execution_count": null, 677 | "outputs": [] 678 | }, 679 | { 680 | "cell_type": "code", 681 | "source": [ 682 | "punc=[punc for punc in string.punctuation]" 683 | ], 684 | "metadata": { 685 | "id": "WLtSU4mXm4Rp" 686 | }, 687 | "execution_count": null, 688 | "outputs": [] 689 | }, 690 | { 691 | "cell_type": "code", 692 | "source": [ 693 | "punc" 694 | ], 695 | "metadata": { 696 | "colab": { 697 | "base_uri": "https://localhost:8080/" 698 | }, 699 | "id": "Ht4ZLTmlQhp9", 700 | "outputId": "a6ee7d09-6bef-4243-d831-42e48119e8cd" 701 | }, 702 | "execution_count": null, 703 | "outputs": [ 704 | { 705 | "output_type": "execute_result", 706 | "data": { 707 | "text/plain": [ 708 | "['!',\n", 709 | " '\"',\n", 710 | " '#',\n", 711 | " '$',\n", 712 | " '%',\n", 713 | " '&',\n", 714 | " \"'\",\n", 715 | " '(',\n", 716 | " ')',\n", 717 | " '*',\n", 718 | " '+',\n", 719 | " ',',\n", 720 | " '-',\n", 721 | " '.',\n", 722 | " '/',\n", 723 | " ':',\n", 724 | " ';',\n", 725 | " '<',\n", 726 | " '=',\n", 727 | " '>',\n", 728 | " '?',\n", 729 | " '@',\n", 730 | " '[',\n", 731 | " '\\\\',\n", 732 | " ']',\n", 733 | " '^',\n", 734 | " '_',\n", 735 | " '`',\n", 736 | " '{',\n", 737 | " '|',\n", 738 | " '}',\n", 739 | " '~']" 740 | ] 741 | }, 742 | "metadata": {}, 743 | "execution_count": 8035 744 | } 745 | ] 746 | }, 747 | { 748 | "cell_type": "code", 749 | "source": [ 750 | "#importing stop words files that are provided\n", 751 | "StopWords_Auditor=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_Auditor.txt\",header=None)\n", 752 | "StopWords_Currencies=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_Currencies.txt\",header=None,encoding=\"ISO-8859-1\",sep='\\n' )\n", 753 | "StopWords_DatesandNumbers=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_DatesandNumbers.txt\",header=None)\n", 754 | "StopWords_Generic=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_Generic.txt\",header=None)\n", 755 | "StopWords_GenericLong=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_GenericLong.txt\",header=None)\n", 756 | "StopWords_Geographic=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_Geographic.txt\",header=None)\n", 757 | "StopWords_Names=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/StopWords-20220705T045434Z-001/StopWords/StopWords_Names.txt\",header=None)\n" 758 | ], 759 | "metadata": { 760 | "id": "s1xGY76Fm4OB" 761 | }, 762 | "execution_count": null, 763 | "outputs": [] 764 | }, 765 | { 766 | "cell_type": "code", 767 | "source": [ 768 | "#creating func for removing stop words\n", 769 | "def text_process(text):\n", 770 | " nopunc =[char for char in text if char not in punc or char not in [':',',','(',')','’','?']]\n", 771 | " nopunc=''.join(nopunc)\n", 772 | " txt=' '.join([word for word in nopunc.split() if word.lower() not in StopWords_Auditor])\n", 773 | " txt1=' '.join([word for word in txt.split() if word.lower() not in StopWords_Currencies])\n", 774 | " txt2=' '.join([word for word in txt1.split() if word.lower() not in StopWords_DatesandNumbers])\n", 775 | " txt3=' '.join([word for word in txt2.split() if word.lower() not in StopWords_Generic])\n", 776 | " txt4=' '.join([word for word in txt3.split() if word.lower() not in StopWords_GenericLong])\n", 777 | " txt5=' '.join([word for word in txt4.split() if word.lower() not in StopWords_Geographic])\n", 778 | " return ' '.join([word for word in txt5.split() if word.lower() not in StopWords_Names])\n" 779 | ], 780 | "metadata": { 781 | "id": "sX1qAALqm4Kz" 782 | }, 783 | "execution_count": null, 784 | "outputs": [] 785 | }, 786 | { 787 | "cell_type": "code", 788 | "source": [ 789 | "#applying func for each row\n", 790 | "c['abc']=c['abc'].apply(text_process)" 791 | ], 792 | "metadata": { 793 | "id": "RH0fzgVym4H6" 794 | }, 795 | "execution_count": null, 796 | "outputs": [] 797 | }, 798 | { 799 | "cell_type": "code", 800 | "source": [ 801 | "c" 802 | ], 803 | "metadata": { 804 | "colab": { 805 | "base_uri": "https://localhost:8080/", 806 | "height": 424 807 | }, 808 | "id": "0Nv3eVe7IahQ", 809 | "outputId": "1e8e3b07-db5e-4a5c-8dd7-a43dc1ac77d7" 810 | }, 811 | "execution_count": null, 812 | "outputs": [ 813 | { 814 | "output_type": "execute_result", 815 | "data": { 816 | "text/plain": [ 817 | " abc\n", 818 | "0 Challenges and Opportunities of Big Data in He...\n", 819 | "1 Big Data To begin with I shall first like to e...\n", 820 | "2 Big data is simply data but with a huge size\n", 821 | "3 Data that is not just voluminous but also grow...\n", 822 | "4 Such data sets are so large and complex that i...\n", 823 | ".. ...\n", 824 | "61 Scarce resources like data scientists are hard...\n", 825 | "62 They are easily poached by competitors\n", 826 | "63 A good and efficient compensation strategy con...\n", 827 | "64 In a nutshell we can conclude that while big d...\n", 828 | "65 Blackcoffer Insights 10 | Subhasmita Dey Xavie...\n", 829 | "\n", 830 | "[66 rows x 1 columns]" 831 | ], 832 | "text/html": [ 833 | "\n", 834 | "
\n", 835 | "
\n", 836 | "
\n", 837 | "\n", 850 | "\n", 851 | " \n", 852 | " \n", 853 | " \n", 854 | " \n", 855 | " \n", 856 | " \n", 857 | " \n", 858 | " \n", 859 | " \n", 860 | " \n", 861 | " \n", 862 | " \n", 863 | " \n", 864 | " \n", 865 | " \n", 866 | " \n", 867 | " \n", 868 | " \n", 869 | " \n", 870 | " \n", 871 | " \n", 872 | " \n", 873 | " \n", 874 | " \n", 875 | " \n", 876 | " \n", 877 | " \n", 878 | " \n", 879 | " \n", 880 | " \n", 881 | " \n", 882 | " \n", 883 | " \n", 884 | " \n", 885 | " \n", 886 | " \n", 887 | " \n", 888 | " \n", 889 | " \n", 890 | " \n", 891 | " \n", 892 | " \n", 893 | " \n", 894 | " \n", 895 | " \n", 896 | " \n", 897 | " \n", 898 | " \n", 899 | " \n", 900 | " \n", 901 | " \n", 902 | " \n", 903 | "
abc
0Challenges and Opportunities of Big Data in He...
1Big Data To begin with I shall first like to e...
2Big data is simply data but with a huge size
3Data that is not just voluminous but also grow...
4Such data sets are so large and complex that i...
......
61Scarce resources like data scientists are hard...
62They are easily poached by competitors
63A good and efficient compensation strategy con...
64In a nutshell we can conclude that while big d...
65Blackcoffer Insights 10 | Subhasmita Dey Xavie...
\n", 904 | "

66 rows × 1 columns

\n", 905 | "
\n", 906 | " \n", 916 | " \n", 917 | " \n", 954 | "\n", 955 | " \n", 979 | "
\n", 980 | "
\n", 981 | " " 982 | ] 983 | }, 984 | "metadata": {}, 985 | "execution_count": 8039 986 | } 987 | ] 988 | }, 989 | { 990 | "cell_type": "code", 991 | "source": [ 992 | "#importing master Dictionary\n", 993 | "positive=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/MasterDictionary/positive-words.txt\",header=None)\n", 994 | "negative=pd.read_csv(\"/content/drive/MyDrive/Test assignment/Blackcoffer Data Science internship/MasterDictionary/negative-words.txt\",header=None,encoding=\"ISO-8859-1\",sep='\\n' )\n" 995 | ], 996 | "metadata": { 997 | "id": "s-ccXyf4IaeY" 998 | }, 999 | "execution_count": null, 1000 | "outputs": [] 1001 | }, 1002 | { 1003 | "cell_type": "code", 1004 | "source": [ 1005 | "positive.columns=['abc']\n", 1006 | "negative.columns=['abc']\n", 1007 | "positive['abc']=positive['abc'].astype(str)\n", 1008 | "negative['abc']=negative['abc'].astype(str)" 1009 | ], 1010 | "metadata": { 1011 | "id": "jKpEw9KuH8vh" 1012 | }, 1013 | "execution_count": null, 1014 | "outputs": [] 1015 | }, 1016 | { 1017 | "cell_type": "code", 1018 | "source": [ 1019 | "#positive and negative dictionary without stopwords\n", 1020 | "positive['abc']=positive['abc'].apply(text_process)\n", 1021 | "negative['abc']=negative['abc'].apply(text_process)" 1022 | ], 1023 | "metadata": { 1024 | "id": "Cit_gYSDSm6p" 1025 | }, 1026 | "execution_count": null, 1027 | "outputs": [] 1028 | }, 1029 | { 1030 | "cell_type": "code", 1031 | "source": [ 1032 | "#positive list\n", 1033 | "length=positive.shape[0]\n", 1034 | "post=[]\n", 1035 | "for i in range(0,length):\n", 1036 | " nopunc =[char for char in positive.iloc[i] if char not in string.punctuation or char != '+']\n", 1037 | " nopunc=''.join(nopunc)\n", 1038 | "\n", 1039 | " post.append(nopunc)" 1040 | ], 1041 | "metadata": { 1042 | "id": "9BZR-CHpVIwx" 1043 | }, 1044 | "execution_count": null, 1045 | "outputs": [] 1046 | }, 1047 | { 1048 | "cell_type": "code", 1049 | "source": [ 1050 | "#negative list\n", 1051 | "length=negative.shape[0]\n", 1052 | "neg=[]\n", 1053 | "for i in range(0,length):\n", 1054 | " nopunc =[char for char in negative.iloc[i] if char not in string.punctuation or char != '+']\n", 1055 | " nopunc=''.join(nopunc)\n", 1056 | " neg.append(nopunc)" 1057 | ], 1058 | "metadata": { 1059 | "id": "RDz17VIAPp8Q" 1060 | }, 1061 | "execution_count": null, 1062 | "outputs": [] 1063 | }, 1064 | { 1065 | "cell_type": "code", 1066 | "source": [ 1067 | "#importing tokenize library\n", 1068 | "from nltk.tokenize import word_tokenize" 1069 | ], 1070 | "metadata": { 1071 | "id": "sQ4IRcm1RseT" 1072 | }, 1073 | "execution_count": null, 1074 | "outputs": [] 1075 | }, 1076 | { 1077 | "cell_type": "code", 1078 | "source": [ 1079 | "txt_list=[]\n", 1080 | "length=c.shape[0]\n", 1081 | "for i in range(0,length):\n", 1082 | " txt=' '.join([word for word in c.iloc[i]])\n", 1083 | " txt_list.append(txt)" 1084 | ], 1085 | "metadata": { 1086 | "id": "ovZ18CdBN2-i" 1087 | }, 1088 | "execution_count": null, 1089 | "outputs": [] 1090 | }, 1091 | { 1092 | "cell_type": "code", 1093 | "source": [ 1094 | "#tokenization of text\n", 1095 | "tokenize_text=[]\n", 1096 | "for i in txt_list:\n", 1097 | " \n", 1098 | " tokenize_text+=(word_tokenize(i))" 1099 | ], 1100 | "metadata": { 1101 | "id": "9Uk7eZZwSaYh" 1102 | }, 1103 | "execution_count": null, 1104 | "outputs": [] 1105 | }, 1106 | { 1107 | "cell_type": "code", 1108 | "source": [ 1109 | "print(tokenize_text)" 1110 | ], 1111 | "metadata": { 1112 | "colab": { 1113 | "base_uri": "https://localhost:8080/" 1114 | }, 1115 | "id": "0nAoWCr5fsZz", 1116 | "outputId": "a0564ff0-9359-424a-d794-0780942eb29f" 1117 | }, 1118 | "execution_count": null, 1119 | "outputs": [ 1120 | { 1121 | "output_type": "stream", 1122 | "name": "stdout", 1123 | "text": [ 1124 | "['Challenges', 'and', 'Opportunities', 'of', 'Big', 'Data', 'in', 'Healthcare', 'Big', 'Data', 'To', 'begin', 'with', 'I', 'shall', 'first', 'like', 'to', 'explain', 'what', 'big', 'data', 'is', 'and', 'why', 'it', 'has', 'become', 'so', 'important', 'in', 'our', 'lives', 'Big', 'data', 'is', 'simply', 'data', 'but', 'with', 'a', 'huge', 'size', 'Data', 'that', 'is', 'not', 'just', 'voluminous', 'but', 'also', 'growing', 'exponentially', 'with', 'time', 'Such', 'data', 'sets', 'are', 'so', 'large', 'and', 'complex', 'that', 'it', 'is', 'not', 'possible', 'to', 'store', 'or', 'process', 'them', 'using', 'traditional', 'data', 'management', 'tools', 'So', 'how', 'huge', 'can', 'this', 'data', 'be', 'Social', 'media', 'sites', 'like', 'Facebook', 'generate', 'more', 'than', '500', 'terabytes', 'of', 'new', 'data', 'every', 'day', 'in', 'the', 'form', 'of', 'photos', 'video', 'uploads', 'text', 'messages', 'etc', 'A', 'single', 'Jet', 'engine', 'can', 'generate', 'more', 'than', '10', 'terabytes', 'of', 'data', 'in', '30', 'minutes', 'of', 'flight', 'time', 'With', 'many', 'thousand', 'flights', 'per', 'day', 'generation', 'of', 'data', 'reaches', 'up', 'to', 'many', 'petabytes', 'Data', 'contained', 'in', 'these', 'sets', 'are', 'not', 'always', 'structured', 'It', 'can', 'be', 'semi-structured', 'or', 'even', 'unstructured', 'When', 'such', 'is', 'the', 'size', 'and', 'dimension', 'of', 'data', 'we', 'can', 'well', 'imagine', 'how', 'complicated', 'it', 'must', 'be', 'to', 'process', 'and', 'analyze', 'it', 'Therefore', 'modern', 'methods', 'of', 'data', 'analysis', 'are', 'being', 'developed', 'and', 'used', 'to', 'process', 'the', 'information', 'contained', 'in', 'big', 'data', 'sets', 'Opportunities', 'Now', 'coming', 'to', 'the', 'opportunities', 'that', 'Big', 'Data', 'provides', 'they', 'are', 'not', 'just', 'limited', 'to', 'healthcare', 'Big', 'data', 'analysis', 'is', 'now', 'a', 'disruptive', 'technology', 'which', 'has', 'intervened', 'into', 'numerous', 'fields', 'and', 'proved', 'its', 'worth', 'Healthcare', 'is', 'no', 'exception', 'Big', 'data', 'has', 'the', 'potential', 'to', 'change', 'the', 'entire', 'dynamics', 'of', 'the', 'healthcare', 'industry', 'and', 'improve', 'the', 'quality', 'of', 'life', 'of', 'people', 'Healthcare', 'industry', 'is', 'a', 'very', 'large', 'and', 'complicated', 'system', 'It', 'involves', 'a', 'lot', 'of', 'risks', 'and', 'always', 'demands', 'better', 'care', 'However', 'when', 'a', 'large', 'number', 'of', 'patients', 'seek', 'emergency', 'care', 'the', 'complications', 'as', 'well', 'as', 'the', 'cost', 'rise', 'exponentially', 'In', 'India', 'many', 'times', 'we', 'even', 'lack', 'sufficient', 'infrastructure', 'to', 'support', 'the', 'patients', 'there', 'is', 'a', 'deficit', 'of', 'beds', 'as', 'well', 'as', 'doctors', 'to', 'provide', 'treatment', 'to', 'the', 'patients', 'For', 'instance', 'when', 'epidemics', 'break', 'out', 'and', 'lives', 'are', 'lost', 'at', 'a', 'very', 'alarming', 'rate', 'we', 'can', 'easily', 'gauge', 'our', 'helplessness', 'However', 'the', 'scenario', 'is', 'certainly', 'improving', 'now', 'With', 'the', 'advent', 'of', 'digitization', 'into', 'the', 'healthcare', 'system', 'healthcare', 'providers', 'or', 'practitioners', 'are', 'now', 'having', 'access', 'to', 'a', 'huge', 'amount', 'of', 'patient', 'health', 'data', 'This', 'healthcare', 'big', 'data', 'can', 'be', 'processed', 'and', 'analyzed', 'to', 'identify', 'patient', 'patterns', 'more', 'quickly', 'and', 'effectively', 'The', 'information', 'obtained', 'can', 'be', 'extremely', 'useful', 'to', 'figure', 'out', 'chronic', 'health', 'issues', 'and', 'provide', 'preventive', 'treatment', 'plans', 'well', 'beforehand', 'so', 'as', 'to', 'curb', 'that', 'disease', 'or', 'disorder', 'from', 'occurring', 'This', 'method', 'is', 'also', 'known', 'as', 'predictive', 'analysis', 'and', 'it', 'is', 'one', 'of', 'the', 'most', 'crucial', 'benefits', 'of', 'big', 'data', 'in', 'healthcare', 'This', 'technology', 'can', 'help', 'the', 'healthcare', 'industry', 'in', 'more', 'ways', 'than', 'we', 'can', 'infer', 'Healthcare', 'organizations', 'that', 'have', 'implemented', 'predictive', 'analysis', 'have', 'witnessed', 'a', 'reduction', 'in', 'ER', 'visits', 'by', 'providing', 'support', 'and', 'care', 'to', 'patients', 'and', 'decreasing', 'emergency', 'situations', 'Apart', 'from', 'reduced', 'ER', 'visits', 'and', 'timely', 'treatment', 'there', 'are', 'many', 'other', 'benefits', 'of', 'big', 'data', 'and', 'predictive', 'analysis', 'Patients', 'with', 'high-risk', 'life-threatening', 'issues', 'can', 'be', 'provided', 'with', 'more', 'customized', 'treatment', 'facilities', 'Due', 'to', 'lack', 'of', 'data', 'there', 'exists', 'a', 'lack', 'of', 'proper', 'planning', 'in', 'hospitals', 'Under', 'or', 'over-booking', 'of', 'staff', 'lack', 'of', 'medical', 'equipment', 'medicines', 'and', 'other', 'facilities', 'are', 'a', 'result', 'of', 'inefficient', 'budgeting', 'and', 'ill-management', 'of', 'finances', 'Using', 'predictive', 'analysis', 'these', 'problems', 'can', 'be', 'solved', 'which', 'will', 'lead', 'to', 'reduced', 'costs', 'and', 'efficient', 'management', 'of', 'finances', 'Better', 'staff', 'allocation', 'and', 'admission', 'rate', 'prediction', 'shall', 'facilitate', 'improvement', 'in', 'daily', 'operations', 'of', 'healthcare', 'organizations', 'By', 'using', 'big', 'data', 'the', 'effect', 'of', 'recency', 'bias', 'could', 'be', 'reduced', 'as', 'well', 'When', 'we', 'give', 'more', 'importance', 'to', 'recent', 'events', 'and', 'tend', 'to', 'ignore', 'the', 'effect', 'of', 'the', 'older', 'ones', 'it', 'may', 'lead', 'to', 'incorrect', 'decisions', 'This', 'is', 'known', 'as', 'recency', 'bias', 'Big', 'data', 'also', 'helps', 'in', 'preventing', 'fraudulent', 'activities', 'which', 'in', 'turn', 'prevents', 'losses', 'of', 'insurance', 'companies', 'Challenges', 'While', 'all', 'of', 'this', 'is', 'changing', 'the', 'healthcare', 'industry', 'for', 'the', 'better', 'it', 'is', 'not', 'that', 'easy', 'to', 'reap', 'the', 'benefits', 'of', 'big', 'data', 'There', 'are', 'a', 'whole', 'lot', 'of', 'challenges', 'and', 'vulnerabilities', 'attached', 'to', 'its', 'implementation', 'One', 'of', 'the', 'biggest', 'challenges', 'is', 'security', 'Healthcare', 'big', 'data', 'contains', 'the', 'personal', 'information', 'and', 'health', 'history', 'of', 'patients', 'Acts', 'of', 'hacking', 'cyber', 'theft', 'and', 'phishing', 'pose', 'a', 'serious', 'threat', 'to', 'these', 'databases', 'Such', 'data', 'could', 'be', 'stolen', 'and', 'sold', 'for', 'huge', 'sums', 'of', 'money', 'Protection', 'of', 'the', 'patients', '’', 'privacy', 'hence', 'is', 'a', 'serious', 'challenge', 'to', 'big', 'data', 'implementation', 'Also', 'the', 'data', 'would', 'contain', 'external', 'data', 'apart', 'from', 'medical', 'information', 'The', 'organization', 'therefore', 'has', 'to', 'take', 'care', 'of', 'privacy', 'legal', 'compliances', 'and', 'government', 'policies', 'Privacy', 'and', 'security', 'of', 'patients', 'have', 'to', 'be', 'given', 'utmost', 'importance', 'and', 'no', 'breach', 'of', 'any', 'kind', 'can', 'be', 'permitted', 'The', 'next', 'challenge', 'is', 'data', 'classification', 'and', 'modeling', 'The', 'size', 'of', 'the', 'data', 'is', 'massive', 'and', 'it', 'is', 'less', 'structured', 'and', 'heterogeneous', 'Classifying', 'such', 'massive', 'data', 'to', 'identify', 'relevant', 'information', 'is', 'a', 'big', 'challenge', 'Modeling', 'of', 'such', 'unstructured', 'data', 'is', 'equally', 'difficult', 'Storage', 'and', 'retrieval', 'is', 'another', 'major', 'challenge', 'Huge', 'cloud', 'servers', 'with', 'sufficient', 'space', 'are', 'required', 'to', 'store', 'such', 'voluminous', 'data', 'Also', 'the', 'speed', 'should', 'be', 'high', 'so', 'that', 'uploading', 'of', 'data', 'can', 'be', 'done', 'hassle-free', 'The', 'way', 'storage', 'is', 'a', 'challenge', 'retrieval', 'also', 'is', 'a', 'matter', 'of', 'concern', 'Integrating', 'the', 'data', 'and', 'getting', 'all', 'relevant', 'systems', 'to', 'link', 'each', 'other', 'is', 'a', 'tough', 'job', 'The', 'next', 'challenge', 'is', 'a', 'major', 'one', 'in', 'my', 'opinion', 'Finding', 'the', 'right', 'talent', 'who', 'own', 'the', 'expertise', 'to', 'implement', 'this', 'modern', 'technology', 'is', 'an', 'arduous', 'task', 'Shortage', 'of', 'required', 'talent', 'is', 'a', 'crisis', 'in', 'the', 'market', 'today', 'Even', 'after', 'hiring', 'the', 'right', 'talent', 'it', 'is', 'a', 'challenge', 'to', 'retain', 'them', 'Scarce', 'resources', 'like', 'data', 'scientists', 'are', 'hard', 'to', 'find', 'and', 'even', 'harder', 'to', 'retain', 'They', 'are', 'easily', 'poached', 'by', 'competitors', 'A', 'good', 'and', 'efficient', 'compensation', 'strategy', 'conducive', 'work', 'environment', 'high', 'incentives', 'opportunities', 'for', 'career', 'growth', 'and', 'development', 'can', 'be', 'some', 'of', 'the', 'ways', 'of', 'retaining', 'such', 'intellectual', 'talent', 'In', 'a', 'nutshell', 'we', 'can', 'conclude', 'that', 'while', 'big', 'data', 'is', 'a', 'disruptive', 'technology', 'which', 'will', 'bring', 'about', 'landmark', 'changes', 'in', 'healthcare', 'dynamics', 'the', 'challenges', 'and', 'vulnerabilities', 'need', 'to', 'be', 'addressed', 'with', 'the', 'utmost', 'care', 'and', 'sense', 'of', 'responsibility', 'Blackcoffer', 'Insights', '10', '|', 'Subhasmita', 'Dey', 'Xavier', 'School', 'of', 'Human', 'Resource', 'Management', 'XUB']\n" 1125 | ] 1126 | } 1127 | ] 1128 | }, 1129 | { 1130 | "cell_type": "code", 1131 | "source": [ 1132 | "len(tokenize_text)" 1133 | ], 1134 | "metadata": { 1135 | "colab": { 1136 | "base_uri": "https://localhost:8080/" 1137 | }, 1138 | "id": "2U5HOJqTT8j7", 1139 | "outputId": "85866329-a6db-42ca-c0ed-c45760213850" 1140 | }, 1141 | "execution_count": null, 1142 | "outputs": [ 1143 | { 1144 | "output_type": "execute_result", 1145 | "data": { 1146 | "text/plain": [ 1147 | "1055" 1148 | ] 1149 | }, 1150 | "metadata": {}, 1151 | "execution_count": 8049 1152 | } 1153 | ] 1154 | }, 1155 | { 1156 | "cell_type": "markdown", 1157 | "source": [ 1158 | "### 1) POSITIVE SCORE" 1159 | ], 1160 | "metadata": { 1161 | "id": "LEV13sFhOtdZ" 1162 | } 1163 | }, 1164 | { 1165 | "cell_type": "code", 1166 | "source": [ 1167 | "positive_score=0\n", 1168 | "for i in tokenize_text:\n", 1169 | " if(i.lower() in post):\n", 1170 | " positive_score+=1\n", 1171 | "print('postive score=', positive_score)" 1172 | ], 1173 | "metadata": { 1174 | "id": "PFskHGo4hH-D", 1175 | "colab": { 1176 | "base_uri": "https://localhost:8080/" 1177 | }, 1178 | "outputId": "df9f26fe-effb-4e8d-ad34-55e5ed745049" 1179 | }, 1180 | "execution_count": null, 1181 | "outputs": [ 1182 | { 1183 | "output_type": "stream", 1184 | "name": "stdout", 1185 | "text": [ 1186 | "postive score= 47\n" 1187 | ] 1188 | } 1189 | ] 1190 | }, 1191 | { 1192 | "cell_type": "markdown", 1193 | "source": [ 1194 | "### 2) NEGATIVE SCORE" 1195 | ], 1196 | "metadata": { 1197 | "id": "TbnTPNmaPFZY" 1198 | } 1199 | }, 1200 | { 1201 | "cell_type": "code", 1202 | "source": [ 1203 | "negative_score=0\n", 1204 | "for i in tokenize_text:\n", 1205 | " if(i.lower() in neg):\n", 1206 | " negative_score+=1\n", 1207 | "print('negative score=', negative_score)" 1208 | ], 1209 | "metadata": { 1210 | "colab": { 1211 | "base_uri": "https://localhost:8080/" 1212 | }, 1213 | "id": "NW-BmJrrLITJ", 1214 | "outputId": "ced4aa47-d58f-4944-a572-8d053ea66899" 1215 | }, 1216 | "execution_count": null, 1217 | "outputs": [ 1218 | { 1219 | "output_type": "stream", 1220 | "name": "stdout", 1221 | "text": [ 1222 | "negative score= 41\n" 1223 | ] 1224 | } 1225 | ] 1226 | }, 1227 | { 1228 | "cell_type": "markdown", 1229 | "source": [ 1230 | "### 3) POLARITY SCORE" 1231 | ], 1232 | "metadata": { 1233 | "id": "nOzdsFrmPs0Q" 1234 | } 1235 | }, 1236 | { 1237 | "cell_type": "code", 1238 | "source": [ 1239 | "#Polarity Score = (Positive Score – Negative Score)/ ((Positive Score + Negative Score) + 0.000001)\n", 1240 | "Polarity_Score=(positive_score-negative_score)/((positive_score+negative_score)+0.000001)\n", 1241 | "print('polarity_score=', Polarity_Score)" 1242 | ], 1243 | "metadata": { 1244 | "id": "9dpYkSQ2hH3s", 1245 | "colab": { 1246 | "base_uri": "https://localhost:8080/" 1247 | }, 1248 | "outputId": "5d82536f-c528-4964-9f7f-fc7c988c9a11" 1249 | }, 1250 | "execution_count": null, 1251 | "outputs": [ 1252 | { 1253 | "output_type": "stream", 1254 | "name": "stdout", 1255 | "text": [ 1256 | "polarity_score= 0.06818181740702481\n" 1257 | ] 1258 | } 1259 | ] 1260 | }, 1261 | { 1262 | "cell_type": "markdown", 1263 | "source": [ 1264 | "### 4) SUBJECTIVITY SCORE" 1265 | ], 1266 | "metadata": { 1267 | "id": "ROhnqKrnSLtv" 1268 | } 1269 | }, 1270 | { 1271 | "cell_type": "code", 1272 | "source": [ 1273 | "#Subjectivity Score = (Positive Score + Negative Score)/ ((Total Words after cleaning) + 0.000001)\n", 1274 | "subjectiivity_score=(positive_score-negative_score)/((len(tokenize_text))+ 0.000001)\n", 1275 | "print('subjectivity_score',subjectiivity_score)" 1276 | ], 1277 | "metadata": { 1278 | "colab": { 1279 | "base_uri": "https://localhost:8080/" 1280 | }, 1281 | "id": "FWLTdqkgSMBM", 1282 | "outputId": "279e7b09-a37b-4bcf-e747-f65fbb1469ec" 1283 | }, 1284 | "execution_count": null, 1285 | "outputs": [ 1286 | { 1287 | "output_type": "stream", 1288 | "name": "stdout", 1289 | "text": [ 1290 | "subjectivity_score 0.005687203786078479\n" 1291 | ] 1292 | } 1293 | ] 1294 | }, 1295 | { 1296 | "cell_type": "markdown", 1297 | "source": [ 1298 | "### 5) AVG SENTENCE LENGTH" 1299 | ], 1300 | "metadata": { 1301 | "id": "9TQxzV5EU1rz" 1302 | } 1303 | }, 1304 | { 1305 | "cell_type": "code", 1306 | "source": [ 1307 | "length=c.shape[0]\n", 1308 | "avg_length=[]\n", 1309 | "for i in range(0,length):\n", 1310 | " avg_length.append(len(c['abc'].iloc[i]))\n", 1311 | "avg_senetence_length=sum(avg_length)/len(avg_length)\n", 1312 | "print('avg sentence length=', avg_senetence_length)" 1313 | ], 1314 | "metadata": { 1315 | "colab": { 1316 | "base_uri": "https://localhost:8080/" 1317 | }, 1318 | "id": "2yKBk8AzULAh", 1319 | "outputId": "60f088ca-82cd-4eba-ff6c-48b7140a4d2c" 1320 | }, 1321 | "execution_count": null, 1322 | "outputs": [ 1323 | { 1324 | "output_type": "stream", 1325 | "name": "stdout", 1326 | "text": [ 1327 | "avg sentence length= 95.54545454545455\n" 1328 | ] 1329 | } 1330 | ] 1331 | }, 1332 | { 1333 | "cell_type": "markdown", 1334 | "source": [ 1335 | "### 6) PERCENTAGE OF COMPLEX WORDS" 1336 | ], 1337 | "metadata": { 1338 | "id": "90O5o3FHa0Ql" 1339 | } 1340 | }, 1341 | { 1342 | "cell_type": "code", 1343 | "source": [ 1344 | "vowels=['a','e','i','o','u']\n", 1345 | "import re\n", 1346 | "count=0\n", 1347 | "complex_Word_Count=0\n", 1348 | "for i in tokenize_text:\n", 1349 | " x=re.compile('[es|ed]$')\n", 1350 | " if x.match(i.lower()):\n", 1351 | " count+=0\n", 1352 | " else:\n", 1353 | " for j in i:\n", 1354 | " if(j.lower() in vowels ):\n", 1355 | " count+=1\n", 1356 | " if(count>2):\n", 1357 | " complex_Word_Count+=1\n", 1358 | " count=0\n" 1359 | ], 1360 | "metadata": { 1361 | "id": "9Wx95gemUK9X" 1362 | }, 1363 | "execution_count": null, 1364 | "outputs": [] 1365 | }, 1366 | { 1367 | "cell_type": "code", 1368 | "source": [ 1369 | "Percentage_of_Complex_words=complex_Word_Count/len(tokenize_text)\n", 1370 | "print('percentag of complex words= ',Percentage_of_Complex_words)" 1371 | ], 1372 | "metadata": { 1373 | "colab": { 1374 | "base_uri": "https://localhost:8080/" 1375 | }, 1376 | "id": "4KfZE9shUK6H", 1377 | "outputId": "f5a5ddd2-5729-48d5-cc66-b3b6219e7219" 1378 | }, 1379 | "execution_count": null, 1380 | "outputs": [ 1381 | { 1382 | "output_type": "stream", 1383 | "name": "stdout", 1384 | "text": [ 1385 | "percentag of complex words= 0.26445497630331755\n" 1386 | ] 1387 | } 1388 | ] 1389 | }, 1390 | { 1391 | "cell_type": "markdown", 1392 | "source": [ 1393 | "### 7) FOG INDEX" 1394 | ], 1395 | "metadata": { 1396 | "id": "wSn_zCTlgMTF" 1397 | } 1398 | }, 1399 | { 1400 | "cell_type": "code", 1401 | "source": [ 1402 | "#Fog Index = 0.4 * (Average Sentence Length + Percentage of Complex words)\n", 1403 | "Fog_Index = 0.4 * (avg_senetence_length + Percentage_of_Complex_words)\n", 1404 | "print('fog index= ',Fog_Index )" 1405 | ], 1406 | "metadata": { 1407 | "colab": { 1408 | "base_uri": "https://localhost:8080/" 1409 | }, 1410 | "id": "xd_zHORCflz8", 1411 | "outputId": "ee73b4b8-0a5e-49bb-94fd-4eb0d1438b4d" 1412 | }, 1413 | "execution_count": null, 1414 | "outputs": [ 1415 | { 1416 | "output_type": "stream", 1417 | "name": "stdout", 1418 | "text": [ 1419 | "fog index= 38.32396380870315\n" 1420 | ] 1421 | } 1422 | ] 1423 | }, 1424 | { 1425 | "cell_type": "markdown", 1426 | "source": [ 1427 | "### 8) AVG NUMBER OF WORDS PER SENTENCE" 1428 | ], 1429 | "metadata": { 1430 | "id": "z6tbgChOg0MT" 1431 | } 1432 | }, 1433 | { 1434 | "cell_type": "code", 1435 | "source": [ 1436 | "length=c.shape[0]\n", 1437 | "avg_length=[]\n", 1438 | "for i in range(0,length):\n", 1439 | " a=[word.split( ) for word in c.iloc[i]]\n", 1440 | " avg_length.append(len(a[0]))\n", 1441 | " a=0\n", 1442 | "#avg\n", 1443 | "avg_no_of_words_per_sentence=sum(avg_length)/length\n", 1444 | "print(\"avg no of words per sentence= \",avg_no_of_words_per_sentence)" 1445 | ], 1446 | "metadata": { 1447 | "colab": { 1448 | "base_uri": "https://localhost:8080/" 1449 | }, 1450 | "id": "2NjRGOeWh3ih", 1451 | "outputId": "6ce60e16-8353-418d-cd5c-7d65d581071c" 1452 | }, 1453 | "execution_count": null, 1454 | "outputs": [ 1455 | { 1456 | "output_type": "stream", 1457 | "name": "stdout", 1458 | "text": [ 1459 | "avg no of words per sentence= 15.969696969696969\n" 1460 | ] 1461 | } 1462 | ] 1463 | }, 1464 | { 1465 | "cell_type": "markdown", 1466 | "source": [ 1467 | "### 9) COMPLEX WORD COUNT" 1468 | ], 1469 | "metadata": { 1470 | "id": "0gERUJr_lR4L" 1471 | } 1472 | }, 1473 | { 1474 | "cell_type": "code", 1475 | "source": [ 1476 | "vowels=['a','e','i','o','u']\n", 1477 | "import re\n", 1478 | "count=0\n", 1479 | "complex_Word_Count=0\n", 1480 | "for i in tokenize_text:\n", 1481 | " x=re.compile('[es|ed]$')\n", 1482 | " if x.match(i.lower()):\n", 1483 | " count+=0\n", 1484 | " else:\n", 1485 | " for j in i:\n", 1486 | " if(j.lower() in vowels ):\n", 1487 | " count+=1\n", 1488 | " if(count>2):\n", 1489 | " complex_Word_Count+=1\n", 1490 | " count=0\n", 1491 | "print('complex words count=', complex_Word_Count)" 1492 | ], 1493 | "metadata": { 1494 | "colab": { 1495 | "base_uri": "https://localhost:8080/" 1496 | }, 1497 | "id": "zuNyk0f0h3gG", 1498 | "outputId": "d10c4b86-5272-4be4-a2eb-74d07276106f" 1499 | }, 1500 | "execution_count": null, 1501 | "outputs": [ 1502 | { 1503 | "output_type": "stream", 1504 | "name": "stdout", 1505 | "text": [ 1506 | "complex words count= 279\n" 1507 | ] 1508 | } 1509 | ] 1510 | }, 1511 | { 1512 | "cell_type": "markdown", 1513 | "source": [ 1514 | "### 10) WORD COUNT" 1515 | ], 1516 | "metadata": { 1517 | "id": "EDbM2keclqrj" 1518 | } 1519 | }, 1520 | { 1521 | "cell_type": "code", 1522 | "source": [ 1523 | "word_count=len(tokenize_text)\n", 1524 | "print('word count= ', word_count)" 1525 | ], 1526 | "metadata": { 1527 | "colab": { 1528 | "base_uri": "https://localhost:8080/" 1529 | }, 1530 | "id": "5mwte9rch3c7", 1531 | "outputId": "559fd9a3-c3db-4a8d-c967-cc2a11c6636d" 1532 | }, 1533 | "execution_count": null, 1534 | "outputs": [ 1535 | { 1536 | "output_type": "stream", 1537 | "name": "stdout", 1538 | "text": [ 1539 | "word count= 1055\n" 1540 | ] 1541 | } 1542 | ] 1543 | }, 1544 | { 1545 | "cell_type": "markdown", 1546 | "source": [ 1547 | "### 11) SYLLABLE PER WORD" 1548 | ], 1549 | "metadata": { 1550 | "id": "zfqS5QdcmAdK" 1551 | } 1552 | }, 1553 | { 1554 | "cell_type": "code", 1555 | "source": [ 1556 | "vowels=['a','e','i','o','u']\n", 1557 | "import re\n", 1558 | "count=0\n", 1559 | "for i in tokenize_text:\n", 1560 | " x=re.compile('[es|ed]$')\n", 1561 | " if x.match(i.lower()):\n", 1562 | " count+=0\n", 1563 | " else:\n", 1564 | " for j in i:\n", 1565 | " if(j.lower() in vowels ):\n", 1566 | " count+=1\n", 1567 | "syllable_count=count\n", 1568 | "print('syllable_per_word= ',syllable_count)" 1569 | ], 1570 | "metadata": { 1571 | "colab": { 1572 | "base_uri": "https://localhost:8080/" 1573 | }, 1574 | "id": "CDgf9sz1h3aL", 1575 | "outputId": "e4409c6b-8c64-47ad-c897-fcc724834ada" 1576 | }, 1577 | "execution_count": null, 1578 | "outputs": [ 1579 | { 1580 | "output_type": "stream", 1581 | "name": "stdout", 1582 | "text": [ 1583 | "syllable_per_word= 2065\n" 1584 | ] 1585 | } 1586 | ] 1587 | }, 1588 | { 1589 | "cell_type": "markdown", 1590 | "source": [ 1591 | "### 12) PERSONAL PRONOUNS" 1592 | ], 1593 | "metadata": { 1594 | "id": "BcBCr8CtmuoS" 1595 | } 1596 | }, 1597 | { 1598 | "cell_type": "code", 1599 | "source": [ 1600 | "pronouns=['i','we','my','ours','us' ]\n", 1601 | "import re\n", 1602 | "count=0\n", 1603 | "for i in tokenize_text:\n", 1604 | " if i.lower() in pronouns:\n", 1605 | " count+=1\n", 1606 | "personal_pronouns=count\n", 1607 | "print('personal pronouns= ',personal_pronouns )" 1608 | ], 1609 | "metadata": { 1610 | "colab": { 1611 | "base_uri": "https://localhost:8080/" 1612 | }, 1613 | "id": "aeRcGapymu-D", 1614 | "outputId": "1f791480-f429-473f-959a-7cbaadd7261f" 1615 | }, 1616 | "execution_count": null, 1617 | "outputs": [ 1618 | { 1619 | "output_type": "stream", 1620 | "name": "stdout", 1621 | "text": [ 1622 | "personal pronouns= 8\n" 1623 | ] 1624 | } 1625 | ] 1626 | }, 1627 | { 1628 | "cell_type": "markdown", 1629 | "source": [ 1630 | "### 13) AVG WORD LENGTH" 1631 | ], 1632 | "metadata": { 1633 | "id": "-uWlAk9roY5y" 1634 | } 1635 | }, 1636 | { 1637 | "cell_type": "code", 1638 | "source": [ 1639 | "count=0\n", 1640 | "for i in tokenize_text:\n", 1641 | " for j in i:\n", 1642 | " count+=1\n", 1643 | "avg_word_length=count/len(tokenize_text)\n", 1644 | "print('avg word= ', avg_word_length)" 1645 | ], 1646 | "metadata": { 1647 | "colab": { 1648 | "base_uri": "https://localhost:8080/" 1649 | }, 1650 | "id": "EZzeKglfn225", 1651 | "outputId": "4db590c0-9a2b-4350-99d4-a7165fe10b4e" 1652 | }, 1653 | "execution_count": null, 1654 | "outputs": [ 1655 | { 1656 | "output_type": "stream", 1657 | "name": "stdout", 1658 | "text": [ 1659 | "avg word= 5.040758293838863\n" 1660 | ] 1661 | } 1662 | ] 1663 | }, 1664 | { 1665 | "cell_type": "code", 1666 | "source": [ 1667 | "data={'positive_score':positive_score,'negative_score':negative_score,'Polarity_Score':Polarity_Score,'subjectiivity_score':subjectiivity_score,'avg_senetence_length':avg_senetence_length,'Percentage_of_Complex_words':Percentage_of_Complex_words,'Fog_Index':Fog_Index,'avg_no_of_words_per_sentence':avg_no_of_words_per_sentence,'complex_Word_Count':complex_Word_Count,'word_count':word_count,'syllable_count':syllable_count,'personal_pronouns':personal_pronouns,'avg_word_length':avg_word_length}" 1668 | ], 1669 | "metadata": { 1670 | "id": "QGa8kMJ9pyha" 1671 | }, 1672 | "execution_count": null, 1673 | "outputs": [] 1674 | }, 1675 | { 1676 | "cell_type": "code", 1677 | "source": [ 1678 | "#output=pd.DataFrame()\n", 1679 | "output=output.append(data,ignore_index=True)\n", 1680 | "#output.columns=['positive_score','negative_score','Polarity_Score','subjectiivity_score','avg_senetence_length','Percentage_of_Complex_words','Fog_Index','avg_no_of_words_per_sentence','complex_Word_Count','word_count','syllable_count','personal_pronouns','avg_word_length']\n", 1681 | "output" 1682 | ], 1683 | "metadata": { 1684 | "colab": { 1685 | "base_uri": "https://localhost:8080/", 1686 | "height": 488 1687 | }, 1688 | "id": "DXp7kF2FExVD", 1689 | "outputId": "f896883c-c391-4bfe-f057-176237cbe9f9" 1690 | }, 1691 | "execution_count": null, 1692 | "outputs": [ 1693 | { 1694 | "output_type": "execute_result", 1695 | "data": { 1696 | "text/plain": [ 1697 | " positive_score negative_score Polarity_Score subjectiivity_score \\\n", 1698 | "0 50.0 16.0 0.515152 0.023320 \n", 1699 | "1 52.0 20.0 0.444444 0.018757 \n", 1700 | "2 33.0 15.0 0.375000 0.011173 \n", 1701 | "3 11.0 9.0 0.100000 0.002101 \n", 1702 | "4 54.0 12.0 0.636364 0.022901 \n", 1703 | ".. ... ... ... ... \n", 1704 | "145 74.0 38.0 0.321429 0.019481 \n", 1705 | "146 40.0 18.0 0.379310 0.017742 \n", 1706 | "147 38.0 4.0 0.809524 0.041262 \n", 1707 | "148 56.0 10.0 0.696970 0.034150 \n", 1708 | "149 47.0 41.0 0.068182 0.005687 \n", 1709 | "\n", 1710 | " avg_senetence_length Percentage_of_Complex_words Fog_Index \\\n", 1711 | "0 156.214286 0.274348 62.595454 \n", 1712 | "1 134.960000 0.269637 54.091855 \n", 1713 | "2 146.533333 0.214773 58.699243 \n", 1714 | "3 139.829268 0.298319 56.051035 \n", 1715 | "4 120.604396 0.284624 48.355608 \n", 1716 | ".. ... ... ... \n", 1717 | "145 133.277778 0.356602 53.453752 \n", 1718 | "146 335.318182 0.266935 134.234047 \n", 1719 | "147 116.595238 0.274272 46.747804 \n", 1720 | "148 142.000000 0.328879 56.931552 \n", 1721 | "149 95.545455 0.264455 38.323964 \n", 1722 | "\n", 1723 | " avg_no_of_words_per_sentence complex_Word_Count word_count \\\n", 1724 | "0 25.392857 400.0 1458.0 \n", 1725 | "1 22.266667 460.0 1706.0 \n", 1726 | "2 25.666667 346.0 1611.0 \n", 1727 | "3 22.512195 284.0 952.0 \n", 1728 | "4 19.615385 522.0 1834.0 \n", 1729 | ".. ... ... ... \n", 1730 | "145 20.033333 659.0 1848.0 \n", 1731 | "146 54.636364 331.0 1240.0 \n", 1732 | "147 19.523810 226.0 824.0 \n", 1733 | "148 22.066667 443.0 1347.0 \n", 1734 | "149 15.969697 279.0 1055.0 \n", 1735 | "\n", 1736 | " syllable_count personal_pronouns avg_word_length \n", 1737 | "0 2785.0 6.0 5.063100 \n", 1738 | "1 3313.0 21.0 4.998242 \n", 1739 | "2 2864.0 35.0 4.538796 \n", 1740 | "3 1853.0 2.0 5.095588 \n", 1741 | "4 3533.0 3.0 5.060523 \n", 1742 | ".. ... ... ... \n", 1743 | "145 4115.0 2.0 5.563853 \n", 1744 | "146 2378.0 0.0 4.997581 \n", 1745 | "147 1583.0 10.0 4.998786 \n", 1746 | "148 2784.0 2.0 5.386785 \n", 1747 | "149 2065.0 8.0 5.040758 \n", 1748 | "\n", 1749 | "[150 rows x 13 columns]" 1750 | ], 1751 | "text/html": [ 1752 | "\n", 1753 | "
\n", 1754 | "
\n", 1755 | "
\n", 1756 | "\n", 1769 | "\n", 1770 | " \n", 1771 | " \n", 1772 | " \n", 1773 | " \n", 1774 | " \n", 1775 | " \n", 1776 | " \n", 1777 | " \n", 1778 | " \n", 1779 | " \n", 1780 | " \n", 1781 | " \n", 1782 | " \n", 1783 | " \n", 1784 | " \n", 1785 | " \n", 1786 | " \n", 1787 | " \n", 1788 | " \n", 1789 | " \n", 1790 | " \n", 1791 | " \n", 1792 | " \n", 1793 | " \n", 1794 | " \n", 1795 | " \n", 1796 | " \n", 1797 | " \n", 1798 | " \n", 1799 | " \n", 1800 | " \n", 1801 | " \n", 1802 | " \n", 1803 | " \n", 1804 | " \n", 1805 | " \n", 1806 | " \n", 1807 | " \n", 1808 | " \n", 1809 | " \n", 1810 | " \n", 1811 | " \n", 1812 | " \n", 1813 | " \n", 1814 | " \n", 1815 | " \n", 1816 | " \n", 1817 | " \n", 1818 | " \n", 1819 | " \n", 1820 | " \n", 1821 | " \n", 1822 | " \n", 1823 | " \n", 1824 | " \n", 1825 | " \n", 1826 | " \n", 1827 | " \n", 1828 | " \n", 1829 | " \n", 1830 | " \n", 1831 | " \n", 1832 | " \n", 1833 | " \n", 1834 | " \n", 1835 | " \n", 1836 | " \n", 1837 | " \n", 1838 | " \n", 1839 | " \n", 1840 | " \n", 1841 | " \n", 1842 | " \n", 1843 | " \n", 1844 | " \n", 1845 | " \n", 1846 | " \n", 1847 | " \n", 1848 | " \n", 1849 | " \n", 1850 | " \n", 1851 | " \n", 1852 | " \n", 1853 | " \n", 1854 | " \n", 1855 | " \n", 1856 | " \n", 1857 | " \n", 1858 | " \n", 1859 | " \n", 1860 | " \n", 1861 | " \n", 1862 | " \n", 1863 | " \n", 1864 | " \n", 1865 | " \n", 1866 | " \n", 1867 | " \n", 1868 | " \n", 1869 | " \n", 1870 | " \n", 1871 | " \n", 1872 | " \n", 1873 | " \n", 1874 | " \n", 1875 | " \n", 1876 | " \n", 1877 | " \n", 1878 | " \n", 1879 | " \n", 1880 | " \n", 1881 | " \n", 1882 | " \n", 1883 | " \n", 1884 | " \n", 1885 | " \n", 1886 | " \n", 1887 | " \n", 1888 | " \n", 1889 | " \n", 1890 | " \n", 1891 | " \n", 1892 | " \n", 1893 | " \n", 1894 | " \n", 1895 | " \n", 1896 | " \n", 1897 | " \n", 1898 | " \n", 1899 | " \n", 1900 | " \n", 1901 | " \n", 1902 | " \n", 1903 | " \n", 1904 | " \n", 1905 | " \n", 1906 | " \n", 1907 | " \n", 1908 | " \n", 1909 | " \n", 1910 | " \n", 1911 | " \n", 1912 | " \n", 1913 | " \n", 1914 | " \n", 1915 | " \n", 1916 | " \n", 1917 | " \n", 1918 | " \n", 1919 | " \n", 1920 | " \n", 1921 | " \n", 1922 | " \n", 1923 | " \n", 1924 | " \n", 1925 | " \n", 1926 | " \n", 1927 | " \n", 1928 | " \n", 1929 | " \n", 1930 | " \n", 1931 | " \n", 1932 | " \n", 1933 | " \n", 1934 | " \n", 1935 | " \n", 1936 | " \n", 1937 | " \n", 1938 | " \n", 1939 | " \n", 1940 | " \n", 1941 | " \n", 1942 | " \n", 1943 | " \n", 1944 | " \n", 1945 | " \n", 1946 | " \n", 1947 | " \n", 1948 | " \n", 1949 | " \n", 1950 | " \n", 1951 | " \n", 1952 | " \n", 1953 | " \n", 1954 | " \n", 1955 | " \n", 1956 | " \n", 1957 | " \n", 1958 | " \n", 1959 | " \n", 1960 | " \n", 1961 | " \n", 1962 | " \n", 1963 | " \n", 1964 | " \n", 1965 | " \n", 1966 | "
positive_scorenegative_scorePolarity_Scoresubjectiivity_scoreavg_senetence_lengthPercentage_of_Complex_wordsFog_Indexavg_no_of_words_per_sentencecomplex_Word_Countword_countsyllable_countpersonal_pronounsavg_word_length
050.016.00.5151520.023320156.2142860.27434862.59545425.392857400.01458.02785.06.05.063100
152.020.00.4444440.018757134.9600000.26963754.09185522.266667460.01706.03313.021.04.998242
233.015.00.3750000.011173146.5333330.21477358.69924325.666667346.01611.02864.035.04.538796
311.09.00.1000000.002101139.8292680.29831956.05103522.512195284.0952.01853.02.05.095588
454.012.00.6363640.022901120.6043960.28462448.35560819.615385522.01834.03533.03.05.060523
..........................................
14574.038.00.3214290.019481133.2777780.35660253.45375220.033333659.01848.04115.02.05.563853
14640.018.00.3793100.017742335.3181820.266935134.23404754.636364331.01240.02378.00.04.997581
14738.04.00.8095240.041262116.5952380.27427246.74780419.523810226.0824.01583.010.04.998786
14856.010.00.6969700.034150142.0000000.32887956.93155222.066667443.01347.02784.02.05.386785
14947.041.00.0681820.00568795.5454550.26445538.32396415.969697279.01055.02065.08.05.040758
\n", 1967 | "

150 rows × 13 columns

\n", 1968 | "
\n", 1969 | " \n", 1979 | " \n", 1980 | " \n", 2017 | "\n", 2018 | " \n", 2042 | "
\n", 2043 | "
\n", 2044 | " " 2045 | ] 2046 | }, 2047 | "metadata": {}, 2048 | "execution_count": 8065 2049 | } 2050 | ] 2051 | }, 2052 | { 2053 | "cell_type": "code", 2054 | "source": [ 2055 | "#with open('output.csv', 'a') as f:#creating text file \n", 2056 | " # output.to_csv(f, index=False, header=False)\n", 2057 | "#files.download('output.csv')" 2058 | ], 2059 | "metadata": { 2060 | "id": "XcEXxciB6w0i" 2061 | }, 2062 | "execution_count": null, 2063 | "outputs": [] 2064 | } 2065 | ] 2066 | } --------------------------------------------------------------------------------