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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3000745