A novel text classification approach based on deep belief network

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

Volumn 6443 LNCS, Issue PART 1, 2010, Pages 314-321

  Liu, Tao ^a,b  

^a Beijing Key Laboratory of Big Data Management and Analysis Methods   (China)

^b RENMIN UNIVERSITY OF CHINA   (China)

Author keywords

deep belief network; support vector machine; text classification

Indexed keywords

BELIEF NETWORKS; DIMENSION REDUCTION; FINE TUNING; HIGH-LEVEL ABSTRACTION; INPUT DATAS; LATENT SEMANTIC INDEXING; NETWORK STRUCTURES; STATISTICAL FEATURES; TEXT CLASSIFICATION; DEEP ARCHITECTURES; DEEP BELIEF NETWORKS;

DATA PROCESSING; FEATURE EXTRACTION; INDEXING (OF INFORMATION); SEMANTICS; SUPPORT VECTOR MACHINES; VECTORS; CLASSIFICATION (OF INFORMATION);

TEXT PROCESSING;

EID: 78650190925     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17537-4_39     Document Type: Conference Paper

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