A linear-chain CRF-based learning approach for web opinion mining

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

Volumn 6488 LNCS, Issue , 2010, Pages 128-141

  Qi, Luole ^a   Chen, Li ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Conditional Random Field (CRFs); Feature Function; Web Opinion Mining

Indexed keywords

CONDITIONAL INDEPENDENCE ASSUMPTION; CONDITIONAL RANDOM FIELD; DISCRIMINATIVE MODELS; F-SCORE; FEATURE FUNCTION; LEARNING APPROACH; LEARNING MODELS; OPINION MINING; PRODUCT REVIEWS; RULE BASED; STATISTICAL APPROACH;

INFORMATION SYSTEMS; SYSTEMS ENGINEERING; WORLD WIDE WEB;

HIDDEN MARKOV MODELS;

EID: 78751534881     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17616-6_13     Document Type: Conference Paper

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