Probabilistic model-based sentiment analysis of twitter messages

2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings

Volumn , Issue , 2010, Pages 79-84

  Celikyilmaz, Asli ^a   Hakkani Tür, Dilek ^b   Feng, Junlan ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MICROSOFT RESEARCH   (United States)

^c AT AND T LABS RESEARCH   (United States)

Author keywords

Feature extraction; Micro blogs; Probabilistic graphical models; Sentiment analysis; Twitter

Indexed keywords

CLASSIFICATION MODELS; GOLD STANDARDS; MACHINE-LEARNING; MICRO-BLOGS; MIXTURE MODEL; NEGATIVE SENTIMENTS; NEW APPROACHES; NON-POLAR; PROBABILISTIC GRAPHICAL MODELS; PROBABILISTIC MODELS; PRODUCTS AND SERVICES; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; TWITTER;

CLASSIFICATION (OF INFORMATION); DATA MINING; GRAPHIC METHODS; INTERNET; SOCIAL NETWORKING (ONLINE); SPEECH RECOGNITION; TEXT PROCESSING;

FEATURE EXTRACTION;

EID: 79951783404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2010.5700826     Document Type: Conference Paper

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