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Text Information Analysis and Sentiment Analysis—A Case Study of Barrage Comments on Disney Animated Films
- 1 School of Digital Economy, Guangdong University of Finance and Economics, Guangzhou, 510320, China
* Author to whom correspondence should be addressed.
Abstract
With the rise of digital media, video barrage—real-time user comments overlaid on videos—has become a prominent feature of online video platforms, particularly in China. This study examines Bilibili, a leading Chinese barrage video-sharing platform, which in 2023 acquired streaming rights to several Disney animated classics, including Frozen, Zootopia, and Coco. By analysing barrage data generated during the viewing of these films, the research aims to uncover valuable insights into users’ feedback, emotional engagement, and interactive behaviours. The findings highlight the overall positive emotional resonance among viewers, indicating a favourable reception of the Disney animated films on the platform. The study explores the role of barrage data in enhancing the viewing experience. It provides fresh perspectives for the digital entertainment industry, guiding it towards becoming more user-friendly and innovative. Through in-depth analysis, this research contributes to understanding audience feedback, emotional experiences, and interactive behaviours, transforming individual viewing experiences into communal social events.
Keywords
Barrage Culture, Sentiment Analysis, Audience Interaction, Disney Animation, Digital Entertainment
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Cite this article
Lan,X. (2025). Text Information Analysis and Sentiment Analysis—A Case Study of Barrage Comments on Disney Animated Films. Applied and Computational Engineering,133,201-208.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning
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