Research on Clustering Based on Short Message Text

摘要：

This article firstly discusses the situation of Chinese vocabulary in semantic space (categorical space), then research short message text word by word, by which we can treat short message text as a vocabulary. Next, it discusses the meaning similarity of vocabulary and the selection of clustering features, and presents a method on short message text clustering.

关键词： Short Message Text Vocabulary Clustering

作者: Liu Dan Liu Jinling

作者单位: Hebei Changzhou Normal University Jiangsu Huaiyin Institute of Technology

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 1125-1127

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）