Clustering Analysis of Comments on Regional Promotion Videos

Key Points

• Comments on promotion videos are analyzed using text mining techniques, highlighting their content variation.
• Positive feedback predominates, yet malicious comments are also detected, impacting viewer perception.
• Clustering analysis helps categorize comments based on their sentiment and relevance to video content.
• Findings may guide local governments in refining their promotional strategies and addressing negative feedback.

Abstract