A Pattern-Based Approach for Sarcasm Detection on Twitter

IEEE Access

Volumn 4, Issue , 2016, Pages 5477-5488

  Bouazizi, Mondher ^a   Otsuki, Tomoaki ^a  

^a KEIO UNIVERSITY   (Japan)

Author keywords

machine learning; sarcasm detection; sentiment analysis; Twitter

Indexed keywords

DATA MINING; LEARNING SYSTEMS; SENTIMENT ANALYSIS;

ADDED VALUES; IMPLICIT INFORMATIONS; INTERNET USERS; MICRO-BLOGGING; PATTERN-BASED; PATTERN-BASED APPROACHES; SETS OF FEATURES; TWITTER;

SOCIAL NETWORKING (ONLINE);

EID: 84991453560     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2016.2594194     Document Type: Article

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