Combining strengths, emotions and polarities for boosting Twitter sentiment analysis

Proceedings of the 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013 - Held in Conjunction with SIGKDD 2013

Volumn , Issue , 2013, Pages

  Bravo Marquez, Felipe ^a,b   Mendoza, Marcelo ^b,c   Poblete, Barbara ^a  

^a UNIVERSITY OF CHILE   (Chile)

^b YAHOO RESEARCH   (United States)

^c DEPARTAMENTO DE FÍSICA   (Chile)

Author keywords

Meta level features; Sentiment classification; Twitter

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; SOCIAL NETWORKING (ONLINE);

COMBINING STRENGTH; META LEVELS; META-LEVEL FEATURE; METHOD RESOURCES; MINING COMMUNITIES; NUMBER OF METHODS; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; TWITTER; WEB MINING;

SENTIMENT ANALYSIS;

EID: 84890658688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2502069.2502071     Document Type: Conference Paper

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