Thailand - Tourism and conflict. Modeling sentiment from twitter tweets using naïve bayes and unsupervised artificial neural nets

Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010

Volumn , Issue , 2010, Pages 89-94

  Claster, William B ^a   Cooper, Malcolm ^a   Sallis, Philip ^a  

^a RITSUMEIKAN ASIA PACIFIC UNIVERSITY   (Japan)

Author keywords

Semantic web; Sentiment mining; Social networks; SOM; Text mining; Tourism; Twitter

Indexed keywords

SENTIMENT MINING; SOCIAL NETWORKS; SOM; TEXT MINING; TOURISM; TWITTER;

ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SELF ORGANIZING MAPS; SEMANTIC WEB; SEMANTICS; TIME SERIES;

SOCIAL NETWORKING (ONLINE);

EID: 79952082709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSiM.2010.98     Document Type: Conference Paper

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