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Volumn , Issue , 2013, Pages 53-62

Automatic domain-specific sentiment lexicon generation with label propagation

Author keywords

Sentiment Analysis; Sentiment Lexicon; Twitter

Indexed keywords

AUTOMATIC GENERATION; BETTER PERFORMANCE; PROPAGATION PROCESS; SEMANTIC SIMILARITY; SENTIMENT ANALYSIS; SENTIMENT DICTIONARIES; SENTIMENT LEXICONS; TWITTER;

EID: 84896814545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2539150.2539190     Document Type: Conference Paper
Times cited : (46)

References (22)
  • 8
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • P. D. Turney and M. L. Littman, "Measuring praise and criticism: Inference of semantic orientation from association," ACM Trans. Inf. Syst., vol. 21, pp. 315-346, 2003.
    • (2003) ACM Trans. Inf. Syst. , vol.21 , pp. 315-346
    • Turney, P.D.1    Littman, M.L.2
  • 9
    • 80455141916 scopus 로고    scopus 로고
    • When is a Liability not a Liability? Textual Analysis, Dictionaries, and 10-Ks
    • T. Loughran and B. McDonald, "When is a Liability not a Liability? Textual Analysis, Dictionaries, and 10-Ks," Journal of Finance, 2010.
    • (2010) Journal of Finance
    • Loughran, T.1    McDonald, B.2
  • 12
    • 78049325380 scopus 로고    scopus 로고
    • Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
    • J. Bollen, A. Pepe, and H. Mao, "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena," CoRR, pp. -1-1, 2009.
    • (2009) CoRR , pp. 1-1
    • Bollen, J.1    Pepe, A.2    Mao, H.3
  • 16
    • 38849157691 scopus 로고    scopus 로고
    • Department of Computer Science and Engineering University of California, San Diego, June 15
    • G. Gidofalvi, "Using News Articles to Predict Stock Price Movements," Department of Computer Science and Engineering University of California, San Diego, June 15 2001.
    • (2001) Using News Articles to Predict Stock Price Movements
    • Gidofalvi, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.