├── README.md
├── main.py
└── requirements.txt


/README.md:
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1 | # textblob_sentiment_analysis
2 | A streamlit python web app to analyze sentiment in a CSV file and add the sentiment values to the file. 
3 | ## Find the web app here:
4 | https://sentimentalizer.streamlit.app/
5 | 
6 | 


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/main.py:
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 1 | from textblob import TextBlob
 2 | import pandas as pd
 3 | import streamlit as st
 4 | import cleantext
 5 | 
 6 | 
 7 | st.header('Sentiment Analysis')
 8 | with st.expander('Analyze Text'):
 9 |     text = st.text_input('Text here: ')
10 |     if text:
11 |         blob = TextBlob(text)
12 |         st.write('Polarity: ', round(blob.sentiment.polarity,2))
13 |         st.write('Subjectivity: ', round(blob.sentiment.subjectivity,2))
14 | 
15 | 
16 |     pre = st.text_input('Clean Text: ')
17 |     if pre:
18 |         st.write(cleantext.clean(pre, clean_all= False, extra_spaces=True ,
19 |                                  stopwords=True ,lowercase=True ,numbers=True , punct=True))
20 | 
21 | with st.expander('Analyze CSV'):
22 |     upl = st.file_uploader('Upload file')
23 | 
24 |     def score(x):
25 |         blob1 = TextBlob(x)
26 |         return blob1.sentiment.polarity
27 | 
28 | #
29 |     def analyze(x):
30 |         if x >= 0.5:
31 |             return 'Positive'
32 |         elif x <= -0.5:
33 |             return 'Negative'
34 |         else:
35 |             return 'Neutral'
36 | 
37 | #
38 |     if upl:
39 |         df = pd.read_excel(upl)
40 |         del df['Unnamed: 0']
41 |         df['score'] = df['tweets'].apply(score)
42 |         df['analysis'] = df['score'].apply(analyze)
43 |         st.write(df.head(10))
44 | 
45 |         @st.cache
46 |         def convert_df(df):
47 |             # IMPORTANT: Cache the conversion to prevent computation on every rerun
48 |             return df.to_csv().encode('utf-8')
49 | 
50 |         csv = convert_df(df)
51 | 
52 |         st.download_button(
53 |             label="Download data as CSV",
54 |             data=csv,
55 |             file_name='sentiment.csv',
56 |             mime='text/csv',
57 |         )
58 | 
59 | 
60 | 
61 | 


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/requirements.txt:
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 1 | altair==4.2.0
 2 | attrs==22.1.0
 3 | beautifulsoup4==4.11.1
 4 | blinker==1.5
 5 | cachetools==5.2.0
 6 | certifi==2022.9.24
 7 | charset-normalizer==2.1.1
 8 | clean-text==0.6.0
 9 | click==8.1.3
10 | colorama==0.4.5
11 | commonmark==0.9.1
12 | cssselect==1.1.0
13 | decorator==5.1.1
14 | emoji==1.7.0
15 | entrypoints==0.4
16 | feedfinder2==0.0.4
17 | feedparser==6.0.10
18 | filelock==3.8.0
19 | ftfy==6.1.1
20 | gitdb==4.0.9
21 | GitPython==3.1.27
22 | idna==3.4
23 | importlib-metadata==5.0.0
24 | jieba3k==0.35.1
25 | Jinja2==3.1.2
26 | joblib==1.2.0
27 | jsonschema==4.16.0
28 | lxml==4.9.1
29 | MarkupSafe==2.1.1
30 | newspaper3k==0.2.8
31 | nltk==3.7
32 | numpy==1.23.3
33 | openpyxl==3.0.10
34 | packaging==21.3
35 | pandas==1.5.0
36 | Pillow==9.2.0
37 | protobuf==3.20.3
38 | pyarrow==9.0.0
39 | pydeck==0.8.0b3
40 | Pygments==2.13.0
41 | Pympler==1.0.1
42 | pyparsing==3.0.9
43 | pyrsistent==0.18.1
44 | python-dateutil==2.8.2
45 | pytz==2022.4
46 | pytz-deprecation-shim==0.1.0.post0
47 | PyYAML==6.0
48 | regex==2022.9.13
49 | requests==2.28.1
50 | requests-file==1.5.1
51 | rich==12.6.0
52 | semver==2.13.0
53 | sgmllib3k==1.0.0
54 | six==1.16.0
55 | smmap==5.0.0
56 | soupsieve==2.3.2.post1
57 | streamlit==1.13.0
58 | textblob==0.17.1
59 | tinysegmenter==0.3
60 | tldextract==3.3.1
61 | toml==0.10.2
62 | toolz==0.12.0
63 | tornado==6.2
64 | tqdm==4.64.1
65 | typing_extensions==4.3.0
66 | tzdata==2022.4
67 | tzlocal==4.2
68 | urllib3==1.26.12
69 | validators==0.20.0
70 | watchdog==2.1.9
71 | wcwidth==0.2.5
72 | zipp==3.8.1
73 | 


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