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<div><p>As e-commerce live streaming becomes increasingly popular, the textual analysis of bullet comments is becoming more and more important. Bullet comments is characterized by its brevity, diverse content, and vast quantity. Faced with these challenges, this study proposes an improve...

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Bibliographic Details
Main Author:	Rong Zhou (138287) (author)
Other Authors:	Qing Shen (1274367) (author), Huafeng Kong (21161857) (author)
Published:	2025
Subjects:	Biotechnology Ecology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified text classification algorithms subclass bert models six designated categories profound semantic comprehension parent categories ). extracting valuable information empirical evidence shows closely categorized capabilities commerce comments based commerce bullet comments classify bullet comments categorize bullet comments bullet comments xlink "> vast quantity hierarchical structure diverse content
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