A comparative study of selection and machine learning techniques for sentiment analysis

Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012

Volumn , Issue , 2012, Pages 1-7

  Sharma, Anuj ^a   Dey, Shubhamoy ^a  

^a INDIAN INSTITUTE OF MANAGEMENT INDORE   (India)

Author keywords

Feature selection; Sentiment analysis; Text classification

Indexed keywords

CLASSIFICATION TECHNIQUE; COMPARATIVE STUDIES; CRITICAL TASKS; DATA SETS; FEATURE SELECTION METHODS; GAIN RATIO; K-NEAREST NEIGHBORS; MACHINE LEARNING TECHNIQUES; MAXIMUM ENTROPY; NAIVE BAYES; SENTIMENT ANALYSIS; SENTIMENT-BASED CLASSIFICATION; TEXT CLASSIFICATION; TEXT CONTENT;

ADAPTIVE BOOSTING; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; FEATURE EXTRACTION; RESEARCH; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

MAXIMUM ENTROPY METHODS;

EID: 84871632838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2401603.2401605     Document Type: Conference Paper

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