Enhancing negation-aware sentiment classification on product reviews via multi-unigram feature generation

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

Volumn 6215 LNCS, Issue , 2010, Pages 380-391

  Wei, Wei ^a   Gulla, Jon Atle ^a   Fu, Zhang ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

Multi Unigram Feature Generation; Negation Aware Classifier; Sentiment Classification

Indexed keywords

BASELINE METHODS; CLASSIFICATION PROCESS; FEATURE GENERATION; IMPACT ANALYSIS; LABELED DATA; NAIVE BAYES CLASSIFIERS; NEGATION-AWARE CLASSIFIER; PRODUCT REVIEWS; RESEARCH COMMUNITIES; SENTIMENT CLASSIFICATION; TRAINING DATA;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTATION THEORY;

INTELLIGENT COMPUTING;

EID: 77958492391     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14922-1_47     Document Type: Conference Paper

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