An effective Chinese short message texts clustering algorithm based on the ward´s method

Author

Yuan, Lingling

Author_Institution

Sch. of Literature & Media, Henan Polytech. Univ., Jiaozuo, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

1897

Lastpage

1899

Abstract

Short message texts have taken an important role in modern society in China. Because of the problems on word segmentation and term extraction in Chinese text classification along with the characters of short message text themselves, it is necessary to explore some new approach to classify short message. In this article, a new methodology named DBS is proposed to classify short message texts based on the ward´s method. Experiments show that it´s an effective algorithm in Chinese short message texts classification.

Keywords

classification; natural language processing; text analysis; word processing; Chinese short message texts classification; Chinese short message texts clustering algorithm; Chinese text classification; DBS; term extraction; ward´s method; word segmentation; Algorithm design and analysis; Clustering algorithms; Computational modeling; Databases; Knowledge engineering; Satellite broadcasting; Text categorization; classification; didtance between sequences; short message texts; the ward´s method;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010901

Filename

6010901