Make a Sentiment Analysis Web App using Python | Streamlit

In this video, we make a sentiment analysis web app using TextBlob. It takes a CSV file, analyzes the sentiment in it, and adds columns about the score of the sentiment to the file. Sourcecode below-
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---------------Source Code---------------
github.com/Vidito/textblob_se...

[@thathabeshasoftwareengineer]

damn you're really good at teaching. loved this video. the UA-cam AI will read this comment with Sentiment Analysis and will give it a higher polarity to get recommended to more people. Thanks alot.

[@Pythonology]

thank you so much :) the Algorithm has not helped that much so far :D your comment may give it a nudge.

[@Ilakkiya_MG]

can you please tell me in which platform is he running his code?

[@alidemir8588]

thank you very much for dieses helpful movie ❤

[@return_1101]

Your content is awesome.

[@Pythonology]

Thanks Andrei

[@m.s.n.kishore9994]

What type of xlsx file needed for the data.

[@kyilin2796]

Thank you so much it is very helpful for me.
But I wannt to see the coloumn of the dataset that u input.
Plz reply back to me. I need your help.

[@m.s.n.kishore9994]

needed the dataset in the description
please.

[@HanaNoufal]

how can we do this for application reviews

[@learnsharegrowwithgh2181]

Excellent explanation and content can you record tutorial to deploy this app on heroku

[@johnlens5990]

Thank you for this great content! I'm getting the error below. What could be the reason? Also in your code, I see df seems to be undefined under the line @st.cache. Can you help me? Thanks in advance!
Error in streamlit after excel upload: TypeError: The `text` argument passed to `__init__(text)` must be a string, not
Probably because of this line: df['score'] = df['texts'].apply(score)

[@Ilakkiya_MG]

In which platform are you running this code?

[@Pythonology]

I am using Pycharm

[@SANJAYKUMAR-ns4ch]

can you add dataset in your description

[@harshvardhanpasalkar6462]

I want it too

[@Harivamsi17]

bro y am i getting keyerror in line 40 for df unamed: 0