Predicting the political sentiment of web log posts using supervised machine learning techniques coupled with feature selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4811 LNAI, Issue , 2007, Pages 187-206

  Durant, Kathleen T ^a   Smith, Michael D ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

Blogs; Feature selection; Na ve bayes; Sentiment classification; Support vector machines; Web logs; WEKA

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

BLOGS; SENTIMENT CLASSIFICATION; STANDARD DEVIATION; WEB LOGS;

WORLD WIDE WEB;

EID: 38549150722     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77485-3_11     Document Type: Conference Paper

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