DocumentCode :
3000745
Title :
Summarization of text clustering based vector space model
Author :
Chen, Mingzhen ; Song, Yu
Author_Institution :
Dept. of Compute Sci., Zhejiang Univ., Hangzhou, China
fYear :
2009
fDate :
26-29 Nov. 2009
Firstpage :
2362
Lastpage :
2365
Abstract :
Text clustering is an important task of natural language processing and is widely applicable in areas such as information retrieval and web mining. The representation of document and the clustering algorithm are the key issues of text clustering. This paper discusses vector space model(VSM)-based clustering algorithms. This paper reviewed the text clustering algorithm.
Keywords :
natural language processing; text analysis; document representation; information retrieval; natural language processing; text clustering summarization; vector space model; web mining; Clustering algorithms; Databases; Frequency measurement; Information retrieval; Natural language processing; Ontologies; Partitioning algorithms; Statistics; Text mining; Web mining; Distance function; Document representation; Text clustering; Vector Space Model (VSM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5266-8
Electronic_ISBN :
978-1-4244-5268-2
Type :
conf
DOI :
10.1109/CAIDCD.2009.5375265
Filename :
5375265
Link To Document :
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