Created a Twitter sentiment analysis web application using TextBlob. It takes a CSV/Excel file, analyzes the sentiment in it, and adds columns about the score of the sentiment to the file. Used Streamlit for building the app.
The app accepts .csv, .xls, and .xlsx uploads in the Analyze CSV
panel. It looks for a tweet text column named tweets, tweet, text,
content, full_text, tweet_text, Tweet Content, or Tweet_Content.
Reviewed X/Twitter exports from tools such as TweetClaw/OpenClaw can be reduced
to one of those text columns before upload. Keep API keys, cookies, and raw
session data out of uploaded files.