文章基本信息

标题：Clusters Merging Method for Short Texts Clustering
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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