RoBERTa (Sentiment Analysis): This fine-tuned transformer model classifies tweets about tokens as positive, negative, or neutral, providing insights into public perception.
BERTopic (Topic Modeling): Identifies and clusters topics within token-related tweets, highlighting trending themes and discussions.
Engagement Scoring: A formula weights likes, retweets, and replies to assess the overall impact and visibility of tweets related to the token.
Benefits:
Identifies tokens with strong community backing and positive sentiment.
Detects early trends or emerging interest in specific tokens.
Flags tokens with unusually negative sentiment for further investigation.
