计算机应用与软件Issue(10)：24-26,66,4.DOI:10.3969/j.issn.1000-386x.2014.10.006
基于LDA模型的微博话题发现技术研究
ON LDA-BASED MICROBLOGGING TOPIC DETECTION
摘要
Abstract
There are tens of millions of users in microblogging,and they publish massive messages every day.These massive microblogging messages impose severe challenge to hot topics detection.In this paper we model the concealed topics in microblogging with LDA (latent Dirichlet Allocation)model,form the topics as an undirected weighted graph by utilising the sharing words among the topics, and rank the topics in the graph with PageRank algorithm.Experimental results show that the topics returned to users after the PageRank ranking is more accurate than that of non-ranking.关键词
微博/话题/图/排名/LDA模型Key words
Microblogging/Topic/Graph/Ranking/Latent Dirichlet allocation model分类
信息技术与安全科学引用本文复制引用
李凤岭,朱保平..基于LDA模型的微博话题发现技术研究[J].计算机应用与软件,2014,(10):24-26,66,4.基金项目
江苏省自然科学基金项目（3202uj221）。 （）
