首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Clusters Merging Method for Short Texts Clustering
  • 本地全文:下载
  • 作者:Yu Wang * , Lihui Wu , Hongyu Shao
  • 期刊名称:Open Journal of Social Sciences
  • 印刷版ISSN:2327-5952
  • 电子版ISSN:2327-5960
  • 出版年度:2014
  • 卷号:02
  • 期号:09
  • 页码:186-192
  • DOI:10.4236/jss.2014.29032
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Under push of Mobile Internet, new social media such as microblog, we chat, question answering systems are constantly emerging. They produce huge amounts of short texts which bring forward new challenges to text clustering. In response to the features of large amount and dynamic growth of short texts, a two-stage clustering method was putted forward. This method adopted a sliding window sliding on the flow of short texts. Inside the slide window, hierarchical clustering method was used, and between the slide windows, clusters merging method based on information gain was adopted. Experiment indicated that this method is fast and has a higher accuracy.
  • 关键词:Short Texts Clustering; Slide Window; Information Gain; Hierarchical Clustering
国家哲学社会科学文献中心版权所有