Extracting Chinese product features: Representing a sequence by a set of skip-bigrams

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

Volumn 7717 LNAI, Issue , 2013, Pages 72-83

  Xu, Ge ^a,b,c   Huang, Chu Ren ^a   Wang, Houfeng ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b PEKING UNIVERSITY   (China)

^c MINJIANG UNIVERSITY   (China)

Author keywords

product feature; sentiment analysis; skip bigram; word sequence

Indexed keywords

BIGRAMS; ITEM SETS; PRODUCT FEATURE; SENTIMENT ANALYSIS; SKIP-BIGRAM; WORD SEQUENCE;

ARTIFICIAL INTELLIGENCE;

SEMANTICS;

EID: 84874135205     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36337-5_9     Document Type: Conference Paper

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