YOLO Sentiment Analysis on Bilibili Danmaku
YOLO Sentiment Analysis by Danmaku on Bilibili
This project explores the application of sentiment analysis on danmaku (bullet-screen comments) collected from Bilibili, a popular video-sharing platform. Leveraging natural language processing (NLP) techniques, the project analyzes the sentiment distribution of user comments and visualizes key insights, such as the prevalence of positive and negative sentiments.

Sentiment Distribution: The histogram below demonstrates the frequency of sentiment scores, revealing patterns in user sentiments.

Word Cloud Visualization: A word cloud highlights the most frequently used words in the danmaku comments, providing insights into user discussions.

For more details, please visit the GitHub repository.
