Twitter Sentiment Software
The Twitter Sentiment Analysis project connects to the Twitter API to analyze and compare the sentiment of tweets containing two user-defined search terms. By fetching live Twitter data, the program determines which term has a more positive sentiment score, making it useful for tracking public opinion on brands, events, or teams.
📊 Real-Time Sentiment Analysis
Fetches live tweets based on two user-inputted terms.
Assigns a sentiment score to determine which term has a more positive outlook.
🔗 Seamless Twitter API Integration
Connects to Twitter API to retrieve recent tweets.
Extracts tweet text, usernames, and hashtags for analysis.
⚙ Automated Data Processing
Parses tweets and evaluates sentiment using a sentiment analysis model.
Displays sentiment scores for both search terms.
🖥 Simple & Efficient Execution
Users provide two search terms via a sentiment.input file.
The script runs with a single command, making it easy to use.
