User Data Analysis

Utilized the NetworkX library to analyze Twitch social network data, employing metrics such as clustering coefficients, linkprediction, modularity analysis, small-world analysis, and PageRank.

Identified patterns of user behavior, such as the most popular games, the times of day when users are most active, and the types of interactions users have.

Implemented topic modeling techniques with Gensim to extract meaningful themes, enhancing the understanding of sentiment and user preferences.

Performed sentiment analysis using NLTK's Vader to evaluate user sentiments, identifying toxic behavior in chat rooms.