Title :
Summarization of text clustering based vector space model
Author :
Chen, Mingzhen ; Song, Yu
Author_Institution :
Dept. of Compute Sci., Zhejiang Univ., Hangzhou, China
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);
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
DOI :
10.1109/CAIDCD.2009.5375265
