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Volumn 403, Issue , 2009, Pages 620-623

Using syntactic and contextual information for sentiment polarity analysis

Author keywords

Opinion mining; Sentiment polarity analysis; SentiWordNet

Indexed keywords

CONTEXT DEPENDENT; CONTEXTUAL INFORMATION; DATA SETS; OPINION MINING; SYNSETS;

EID: 74949142576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1655925.1656037     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 1
    • 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 Transactions on Information Systems, 21(4), pages 315-346. 2003.
    • (2003) ACM Transactions on Information Systems , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Littman, M.L.2
  • 12
    • 48449083709 scopus 로고    scopus 로고
    • Knowledge transfer and opinion detection in the TREC2006 blog track
    • H. Yang, L. Si, and J. Callan, "Knowledge transfer and opinion detection in the TREC2006 blog track," in Proceedings of TREC, 2006.
    • (2006) Proceedings of TREC
    • Yang, H.1    Si, L.2    Callan, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.