构建微博用户兴趣模型的主题模型的分析

计算机科学 ›› 2013, Vol. 40 ›› Issue (4): 127-130.

构建微博用户兴趣模型的主题模型的分析

陈文涛,张小明,李舟军

北京航空航天大学计算机学院北京100191;北京航空航天大学计算机学院北京100191;北京航空航天大学计算机学院北京100191

出版日期:2018-11-16 发布日期:2018-11-16

Analysis of Topic Models on Modeling MicroBlog User Interestingness

CHEN Wen-tao,ZHANG Xiao-ming and LI Zhou-jun

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 分析了不同的主题模型,通过实验比较了3种主题模型构建的微博用户兴趣模型的性能。实验结果表明:TwitterLDA适用于新文档或新用户的预测,AuthorLDA产生的主题具有较高的区分度,而UserLDA和AuthorLDA能更好地反映出用户的社交网络关系。上述工作为进一步研究主题模型如何应用于微博的个性化信息推荐、情感分析和话题检测与跟踪等文本挖掘应用奠定了基础。

关键词: 主题模型,用户兴趣,个性化服务

Abstract: This paper analysed different topic models,and compared three extended topic models’ performance on mo-deling microblog user interestingness via three experiments．Experimental results show that TwitterLDA can apply to predict words on new unseen docuemnts and users,that the topics generated by AuthorLDA have a higher degree of differentiation,and that UserLDA and AuthorLDA can better reflect the users’ relationships in real social network．The work in this paper lays the foundation for further studying how the topic model is applied to the text mining applications of microblogs such as personalized recommendation,sentiment analysis and topic detection and tracking.

Key words: Topic model,User interest,Personalized service

陈文涛,张小明,李舟军. 构建微博用户兴趣模型的主题模型的分析[J]. 计算机科学, 2013, 40(4): 127-130. https://doi.org/

CHEN Wen-tao,ZHANG Xiao-ming and LI Zhou-jun. Analysis of Topic Models on Modeling MicroBlog User Interestingness[J]. Computer Science, 2013, 40(4): 127-130. https://doi.org/

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