DocumentCode
3215227
Title
Research on clustering based on short message text
Author
Dan, Liu ; Jinling, Liu
Author_Institution
Hebei Changzhou Normal Univ., Changzhou, China
Volume
4
fYear
2011
fDate
29-31 July 2011
Abstract
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.
Keywords
electronic messaging; natural languages; pattern clustering; text analysis; vocabulary; Chinese vocabulary; categorical space; clustering feature selection; semantic space; short message text clustering; vocabulary meaning similarity; Analytical models; Fires; Vocabulary; Clustering; Short Message Text; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-61284-275-2
Type
conf
DOI
10.1109/ICEOE.2011.6013464
Filename
6013464
Link To Document