Unveiling Beauty Trends on TikTok Through Topic Modeling and Sentiment Analysis

This study explores the beauty-related discussions on TikTok by employing advanced topic modeling techniques—BERTopic and Louvain clustering—alongside sentiment analysis using VADER. The research identifies and categorizes emerging beauty trends, with BERTopic uncovering detailed, niche topics and Louvain clustering revealing broader thematic groups. Sentiment analysis highlights a predominantly positive emotional tone in the content, with some areas exhibiting neutral or negative sentiment. By combining these methods, the study provides a comprehensive understanding of both the thematic and emotional aspects of beauty discourse on TikTok, offering valuable insights for content creators, marketers, and the platform's community dynamics.