BursT: A dynamic term weighting scheme for mining microblogging messages

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

Volumn 6677 LNCS, Issue PART 3, 2011, Pages 548-557

  Lee, Chung Hong ^a   Wu, Chih Hong ^a   Chien, Tzan Feng ^a  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

information retrieval; social mining; social networks; term weighting scheme; text mining

Indexed keywords

CLUSTERING METHODS; CONCEPT DRIFTS; DAILY LIVES; DYNAMIC ENVIRONMENTS; EVENT MINING; HUMAN NEEDS; MESSAGE STREAMS; MICROBLOGGING; SHORT MESSAGE; SLIDING WINDOW TECHNIQUES; SOCIAL MINING; SOCIAL NETWORKS; TERM WEIGHTING; TERM WEIGHTING SCHEME; TEXT MINING; WEIGHTING TECHNIQUES;

FEATURE EXTRACTION; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 79957864512     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21111-9_62     Document Type: Conference Paper

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