Recognition of sarcasm in tweets based on concept level sentiment analysis and supervised learning approaches

Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation, PACLIC 2014

Volumn , Issue , 2014, Pages 404-413

  Tungthamthiti, Piyoros ^a   Shirai, Kiyoaki ^a   Mohd, Masnizah ^a  

^a JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; LEARNING ALGORITHMS; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

BASELINE METHODS; COMMONSENSE KNOWLEDGE; CONCEPT LEVELS; FEATURE SETS; MACHINE LEARNING CLASSIFICATION; NATURAL LANGUAGE PROCESSING; SENTIMENT ANALYSIS; SUPERVISED LEARNING APPROACHES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84994130870     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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