📊 How Sentiment Is Determined
Sentiment analysis uses a machine learning model trained on political text samples. Each post is classified as:
- Positive: Supportive, optimistic, or approving language about a politician, policy, or event.
- Negative: Critical, dissatisfied, or disapproving language about a politician, policy, or event.
- Neutral: Ambiguous, mixed, or does not clearly express positive or negative sentiment.