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基于弹幕文本挖掘的视频UP主研究 作者:朱文静

关 键 词 :UP主;视频弹幕;爬虫;LDA主题分析;词云;学科分类:

摘要/Abstract
近年来随着视频门户网站的发展,视频自媒体也得到了较大发展。视频因为具有更高的传播示能和内容密度,能够更大程度调动消费者的积极性,为品牌营销带来更多机会。本文以哔哩哔哩弹幕视频网为研究平台,使用python语言对美妆类up主的视频弹幕进行爬取,使用LDA方法对弹幕文本进行主题分析,最后进行词云可视化,从而分析不同美妆up主的特色,为视频创作者提供思路,也为品牌方选择与品牌风格相同的up主提供参考。
In recent years, with the development of video portals, video self-media has also been greatly developed. Because of its higher communication performance and content density, video can arouse consumers' enthusiasm to a greater extent and bring more opportunities for brand marketing. This article uses the Bilibili barrage video website as a research platform, uses python language to crawl the video barrage of the main makeup uploaders, uses the LDA method to analyze the theme of the barrage text. Finally, the word cloud is visualized to analyze the characteristics of different beauty uploaders, provide ideas for video creators, and provide references for brands to choose uploaders with the same style as the brand.
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论文刊载证明

基于弹幕文本挖掘的视频UP主研究 于 2020-04-15 在中国高校人文社会科学信息网(互联网出版许可证:(总)网出证(京)字第052号)刊载,对外公开发表。论文作者为:朱文静 。特此证明。

  

刊载地址:https://www.sinoss.net/c/2020-04-15/558625.shtml

中国人民大学出版社

中国高校人文社会科学信息网

2020-04-15