This Python project leverages the Twitter API Tweepy and TextBlob to perform sentiment analysis on tweets. By searching for tweets based on a user-defined query the program analyzes the sentiment and subjectivity of each tweet recording the results in a CSV file. The sentiment analysis includes polarity scores and the project provides insights into the overall sentiment and subjectivity of the collected tweets. Users can customize the search query to analyze sentiments on specific topics of interest.
Twitter API (https://developer.twitter.com/en/docs)
Python (VS Code)
TextBlob Natural Language Processing
Scikit-Learn