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基于内容分析的中文BBS话题检测系统的设计与实现

赵艳红 聂哲

计算机应用与软件2011,Vol.28Issue(6):242-246,5.
计算机应用与软件2011,Vol.28Issue(6):242-246,5.

基于内容分析的中文BBS话题检测系统的设计与实现

DESIGN AND IMPLEMENTATION OF CHINESE BBS TOPIC DETECTION SYSTEM BASED ON CONTENT ANALYSIS

赵艳红 1聂哲1

作者信息

  • 1. 深圳职业技术学院电子与信息工程学院,广东深圳,518055
  • 折叠

摘要

Abstract

Through analyzing and studying BBS topic model, topic similarity, topic assessment standard and topic development trend, the paper puts forward a content analysis based Chinese BBS topic detection algorithm, including obtaining BBS information by web crawlers,processing BBS information with URL and Xpath based webpage templates, realizing BBS information participles by ICTLAS, clustering BBS topics by Carrot2, analyzing hot topics based on the power spectrum and predicting topics based on time sequences. Finally a Chinese BBS topic detection system is realized by applying J2EE SDK and Eclipse IDE as well as combining such technologies as Hibernate and GWT etc.A number of tests have been performed on multiple BBS; all have achieved fine results.

关键词

BBS话题检测/网络爬虫/话题聚类/热点分析

Key words

BBS Topic detection / Web crawler/ Topic clustering /Hot spot analysis

引用本文复制引用

赵艳红,聂哲..基于内容分析的中文BBS话题检测系统的设计与实现[J].计算机应用与软件,2011,28(6):242-246,5.

基金项目

深圳市科技计划项目资助课题(07KJce140). (07KJce140)

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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