Twitter opinion topic model: Extracting product opinions from tweets by leveraging hashtags and sentiment lexicon

CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management

Volumn , Issue , 2014, Pages 1319-1328

  Lim, Kar Wai ^a   Buntine, Wray ^b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b MONASH UNIVERSITY   (Australia)

Author keywords

Emoticons; Opinion mining; Product review; Sentiment analysis; Sentiment lexicon; Topic modeling; Twitter

Indexed keywords

KNOWLEDGE MANAGEMENT; PREDICTIVE ANALYTICS; SENTIMENT ANALYSIS; SOCIAL NETWORKING (ONLINE); STATISTICS;

EMOTICONS; OPINION MINING; PRODUCT REVIEWS; SENTIMENT LEXICONS; TOPIC MODELING; TWITTER;

DATA MINING;

EID: 84937622580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2661829.2662005     Document Type: Conference Paper

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