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Volumn , Issue , 2008, Pages 265-271

Leveraging sentiment analysis for topic detection

Author keywords

[No Author keywords available]

Indexed keywords

BUSINESS ANALYSTS; DATA SETS; MESSAGE BOARDS; MUTUAL INFORMATIONS; NON-PROFIT ORGANIZATIONS; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATIONS; SOCIAL MEDIAS; TERM FREQUENCIES; TOPIC DETECTIONS; WEB CONTENTS;

EID: 62949094896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIIAT.2008.188     Document Type: Conference Paper
Times cited : (31)

References (17)
  • 4
    • 62949183331 scopus 로고    scopus 로고
    • S. Das and M. Chen. Yahoo! for amazon: Extracting market sentiment from stock message boards, Proceedings of the 8th Asia Pacific Finance Association (APFA), 2001.
    • S. Das and M. Chen. "Yahoo! for amazon: Extracting market sentiment from stock message boards", Proceedings of the 8th Asia Pacific Finance Association (APFA), 2001.
  • 9
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • Peter D. Turney and Michael L. Littman, "Measuring praise and criticism: Inference of semantic orientation from association", ACM Trans. On Information Systems, 2003, 21(4), pp. 315-346.
    • (2003) ACM Trans. On Information Systems , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Littman, 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, vol. 4811, 2007, pp. 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.