DocumentCode
3599418
Title
The clustering algorithm for Chinese texts based on Lingo
Author
Xiuqin Lin ; Qianhao Zhang ; Gengyu Wei
Author_Institution
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
2
fYear
2011
Firstpage
1187
Lastpage
1190
Abstract
This paper presents a novel Chinese text clustering algorithm, named C-Lingo (Chinese Lingo), which improves the performance of Lingo Algorithm to replace the singular value decomposition (SVD) by non-negative matrix factorization (NMF). In the C-Lingo algorithm functions of the segmentation of Chinese word and the removal of stop words are added in order to process the web page with Chinese text. The evaluation results show that the C-Lingo algorithm has got better performances.
Keywords
computational linguistics; natural language processing; pattern clustering; singular value decomposition; text analysis; C-Lingo; Chinese Lingo; Chinese text clustering algorithm; Chinese word segmentation; nonnegative matrix factorization; singular value decomposition; stop words; Algorithm design and analysis; Clustering algorithms; Contamination; Matrix decomposition; Singular value decomposition; Software algorithms; Text processing; C-Lingo; Chinese text clustering; Lingo; NMF; SVD;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019740
Filename
6019740
Link To Document