Quantising opinions for political tweets analysis

Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012

Volumn , Issue , 2012, Pages 3901-3906

  He, Yulan ^a   Saif, Hassan ^a   Wei, Zhongyu ^b   Wong, Kam Fai ^b  

^a OPEN UNIVERSITY   (United Kingdom)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Joint sentiment topic (JST) model; Political tweets analysis; Sentiment analysis

Indexed keywords

DATA MINING; SOCIAL ASPECTS; SOCIAL NETWORKING (ONLINE);

GENERAL ELECTIONS; JOINT SENTIMENT TOPIC (JST) MODEL; POLITICAL PARTIES; POLITICAL TWEETS ANALYSIS; SENTIMENT ANALYSIS; SENTIMENT LEXICONS; STATISTICAL MODELING; SUPERVISED CLASSIFIERS;

SOCIAL SCIENCES;

EID: 84953712506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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