VADER: A parsimonious rule-based model for sentiment analysis of social media text

Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014

Volumn , Issue , 2014, Pages 216-225

  Hutto, C J ^a   Gilbert, Eric ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; SOCIAL NETWORKING (ONLINE); SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; INTENSITY MEASURE; LEXICAL FEATURES; QUANTITATIVE METHOD; RULE-BASED MODELS; SENTIMENT ANALYSIS; SOCIAL MEDIA; SUPPORT VECTOR MACHINE ALGORITHM;

MAXIMUM ENTROPY METHODS;

EID: 84909954410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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