收稿日期: 2013-02-04
修回日期: 2013-03-15
网络出版日期: 2013-05-05
基金资助
本文系山东理工大学2012年学生工作研究立项课题"新媒体时代大学生信息行为研究"研究成果之一。
Study on a Hot Topics Analysis System based on Time Sliced Topic Model
Received date: 2013-02-04
Revised date: 2013-03-15
Online published: 2013-05-05
廖君华 , 孙克迎 , 钟丽霞 . 一种基于时序主题模型的网络热点话题演化分析系统[J]. 图书情报工作, 2013 , 57(09) : 96 -102,118 . DOI: 10.7536/j.issn.0252-3116.2013.09.016
A Hot Topics Analysis System (HTAS) based on time sliced network data was proposed. HTAS realized the network hot topic data source automatically collected, acquisition and storage. HTAS integrated the google revenue segmentation system IKAnalyzer to batch processing of Chinese documents. HTAS used LDA model to extract and time label to find the evolution of the hot topics on the network. Experiments of Diaoyudao as the hot event show that, the system can effectively acquire, store and analyze this hot topic evolution trend.
Key words： topic model; topic evolution; hot topics; LDA
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