日语微博简介文本的话题模型分析

Daiki Sato, Y. Yaginuma
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引用次数: 0

摘要

SNS数据分析在营销等领域发挥着非常重要的作用。在这些分析中,预计可以将帖子的内容和用户档案一起使用,以进一步提高准确性。为此,本文将概要分类为主题类,并明确了概要所包含的内容。话题模型分析揭示了推特个人资料文本的一些特征,如一些描述男性偶像的个人资料文本和一些讲述推特用户人格的个人资料文本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topic Model Analysis of Japanese Microblog Profile Text
Analyzing the data in SNS has played a very important role in marketing and other areas. In these analyses, it is expected that the content of posts and user profiles can be used together to further increase accuracy. For this reason, this paper classifies profiles into topic categories and clarifies what kind of content the profiles consist of. Topic model analysis revealed some characteristics of the profile texts, such as some profile texts describing male idols and some profile texts telling the persona of the twitter user.
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