Multi-document summarization using weighted similarity between topic and clustering-based non-negative semantic feature

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4505 LNCS, Issue , 2007, Pages 108-115

  Park, Sun ^a   Lee, Ju Hong ^a   Kim, Deok Hwan ^a   Ahn, Chan Min ^a  

^a Inha University   (South Korea)

Author keywords

Clustering; Multi document summarization; Non negative matrix factorization; Topic based summarization; Weighted similarity measure

Indexed keywords

CLUSTERING ALGORITHMS; DATA REDUCTION; DOMAIN DECOMPOSITION METHODS; FEATURE EXTRACTION; MATRIX ALGEBRA;

MULTI-DOCUMENT SUMMARIZATION; NON-NEGATIVE MATRIX FACTORIZATION; TOPIC-BASED SUMMARIZATION; WEIGHTED SIMILARITY MEASURES;

SEMANTIC WEB;

EID: 38049053592     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72524-4_14     Document Type: Conference Paper

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