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  • 标题:A Review of Short Text Clustering Using Web Content Mining
  • 本地全文:下载
  • 作者:Huma Khan ; Hemant Gupta
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2020
  • 卷号:2
  • 期号:3
  • 页码:844-846
  • DOI:10.35629/5252-0203803811
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Nowadays, short text clustering has been an interesting research area due to its usability social network chatting, microblogs and different types of mobile based texts communication are mainly based on short text. Short text are used according to user convenience. Data scientists are working on accuracy of analytical process which deals with text conversations. This work describes one approach for enhancing text clustering accuracy. Web based knowledge is used for understanding of textual contents.
  • 关键词:Text Mining;Text Clustering and Web Content Mining
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