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| 弹幕情感分析与内容推荐
摘要
随着网络视频行业的发展，视频弹幕作为一种新的即时评论方式，逐渐进入大众视野，它能使视频观看者实时讨论视频内容，使观看者拥有更好的观看体验。而弹幕数据也为短文本情感分析提供了新的素材，研究弹幕文本数据及其情感倾向，可以帮助我们了解用户对不同视频片段的偏好，从而为其推荐更符合用户兴趣的视频内容。本文从获取弹幕数据出发，处理数据后，对弹幕文本进行情感分析，并构建指标进行分析以及可视化呈现，之后根据情感分析结果对视频网站的内容推荐提出了建议，以优化当前视频网站的内容推荐的效果，提升用户体验。
关键词：弹幕 文本情感分析 视频内容推荐
Abstract
With the development of online video industry, video barrage screen,as a new way of instant comment, has gradually entered the public's view. It enables video viewers to discuss video content in real time and make them have a better viewing experience. The barrage data also provides new material for short textual sentiment analysis.Studying the bullet screen text data and its emotional tendency can help us understand users' preferences for different video clips,so as to recommend video content that is more in line with users' interests. This paper starts from the acquisition of barrage data, processes the data,conducts sentiment analysis on the text of the bullet screen,constructs indicators for analysis and visual presentation,and then puts forward suggestions on the content recommendation of video websites according to the sentiment analysis results, so as to optimize the effect of current content recommendation of video websites and improve user experience.
Key Words：barrage textual sentiment analysis video content recommendation
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