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Volumn 8, Issue 3, 2010, Pages 291-302

Leveraging sentiment analysis for topic detection

Author keywords

business insight workbench; consumer generated media; pointwise mutual information; sentiment analysis; Sentiment topic detection

Indexed keywords

AUTOMATIC FILTERING; BOOTSTRAPPING METHOD; BUSINESS ANALYSTS; DATA SETS; HIGHLY-CORRELATED; MESSAGE BOARDS; MUTUAL INFORMATIONS; NON PROFIT ORGANIZATIONS; POINTWISE MUTUAL INFORMATION; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; SOCIAL MEDIA; TERM FREQUENCY; TOPIC DETECTION; WEB CONTENT;

EID: 77954923269     PISSN: 15701263     EISSN: None     Source Type: Journal    
DOI: 10.3233/WIA-2010-0192     Document Type: Article
Times cited : (31)

References (17)
  • 9
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • P.D. Turney and M.L. Michael, Measuring praise and criticism: Inference of semantic orientation from association, ACM Trans. On Information Systems, 21(4) (2003), 315-346.
    • (2003) ACM Trans. on Information Systems , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Michael, M.L.2
  • 11
    • 38549150722 scopus 로고    scopus 로고
    • Predicting the political sentiment of web log posts using supervised machine learning techniques coupled with feature selection
    • Springer
    • K.T. Durant and M.D. Smith, Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection, Lecture Notes in Computer Science, Springer, 4811 (2007), 187-206.
    • (2007) Lecture Notes in Computer Science , vol.4811 , pp. 187-206
    • Durant, K.T.1    Smith, M.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.