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作者:

Du, Yongping (Du, Yongping.) (学者:杜永萍) | Liu, Jiangli (Liu, Jiangli.) | He, Ming (He, Ming.)

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CPCI-S

摘要:

The task of topic detection becomes the hotspot research direction in the field of natural language processing in recent years. The cyberspace public opinion has given the significant impact on the large numbers of internet users. This makes the effective public opinion detection and tracking become very important. We select the effective features in the story document and the vector center model is taken to represent the text document. The algorithm of distance based clustering is carried out for public opinion detection. It identifies the emergence of new events and also merges the story to the corresponding cluster. Finally, we give the performance evaluation by the F-Value and entropy value. The system achieves the performance of 76% F value on the test set. The technique of topics detection can monitor the information sources in various languages, and it will provide the efficient guidance for judging the hot spots on the web.

关键词:

Text Mining Public Opinion Detection Natural Language Processing

作者机构:

  • [ 1 ] [Du, Yongping]Beijing Univ Technol, Inst Comp Sci, Beijing, Peoples R China
  • [ 2 ] [Liu, Jiangli]Beijing Univ Technol, Inst Comp Sci, Beijing, Peoples R China
  • [ 3 ] [He, Ming]Beijing Univ Technol, Inst Comp Sci, Beijing, Peoples R China

通讯作者信息:

  • 杜永萍

    [Du, Yongping]Beijing Univ Technol, Inst Comp Sci, Beijing, Peoples R China

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来源 :

INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II

ISSN: 1865-0929

年份: 2011

卷: 135

页码: 203-207

语种: 英文

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