Twitter Sentiment and Engagement

Algorithms Used:

• 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.