Title :
Research on clustering based on short message text
Author :
Dan, Liu ; Jinling, Liu
Author_Institution :
Hebei Changzhou Normal Univ., Changzhou, China
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;
Conference_Titel :
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-61284-275-2
DOI :
10.1109/ICEOE.2011.6013464
