Automatic detection of satire in Twitter: A psycholinguistic-based approach

Knowledge-Based Systems

Volumn 128, Issue , 2017, Pages 20-33

  Salas Zárate, María del Pilar ^a   Paredes Valverde, Mario Andrés ^a   Rodriguez García, Miguel Ángel ^b   Valencia García, Rafael ^a   Alor Hernández, Giner ^c  

^a UNIVERSITY OF MURCIA   (Spain)

^b KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^c INSTITUTO TECNOLÓGICO DE ORIZABA   (Mexico)

Author keywords

Computational psycholinguistics; LIWC; Machine learning; Satire; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE);

AUTOMATIC DETECTION; COMPUTATIONAL PSYCHOLINGUISTICS; LIWC; NATURAL LANGUAGE PROCESSING; RELEVANT FEATURES; SATIRE; SENTIMENT ANALYSIS; TWITTER;

FEATURE EXTRACTION;

EID: 85018980981     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2017.04.009     Document Type: Article

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