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Volumn , Issue , 2012, Pages 453-454

Textual and contextual patterns for sentiment analysis over microblogs

Author keywords

N gram graphs; Sentiment analysis; Social context; Social media

Indexed keywords

CONTENT-BASED; CONTEXT-BASED; DATA SETS; INHERENT CHARACTERISTICS; MICRO-BLOG; N-GRAM GRAPHS; SENTIMENT ANALYSIS; SOCIAL CONTEXT; SOCIAL MEDIA; TRADITIONAL TECHNIQUES;

EID: 84861031451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187980.2188073     Document Type: Conference Paper
Times cited : (10)

References (7)
  • 1
    • 80053291743 scopus 로고    scopus 로고
    • Enhanced sentiment learning using twitter hashtags and smileys
    • D. Davidov, O. Tsur, and A. Rappoport. Enhanced sentiment learning using twitter hashtags and smileys. In COLING, 2010.
    • (2010) Coling
    • Davidov, D.1    Tsur, O.2    Rappoport, A.3
  • 2
    • 80053230843 scopus 로고    scopus 로고
    • A latent variable model for geographic lexical variation
    • J. Eisenstein, B. O'Connor, N. A. Smith, and E. P. Xing. A latent variable model for geographic lexical variation. In EMNLP, 2010.
    • (2010) EMNLP
    • Eisenstein, J.1    O'Connor, B.2    Smith, N.A.3    Xing, E.P.4
  • 4
    • 83055184650 scopus 로고    scopus 로고
    • Target-dependent Twitter sentiment classification
    • L. Jiang, M. Yu, M. Zhou, X. Liu, and T. Zhao. Target-dependent Twitter sentiment classification. In COLING, 2011.
    • (2011) Coling
    • Jiang, L.1    Yu, M.2    Zhou, M.3    Liu, X.4    Zhao, T.5
  • 5
    • 84890614558 scopus 로고    scopus 로고
    • From tweets to polls: Linking text sentiment to public opinion time series
    • B. O'Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith. From tweets to polls: Linking text sentiment to public opinion time series. In ICWSM, 2010.
    • (2010) ICWSM
    • O'Connor, B.1    Balasubramanyan, R.2    Routledge, B.R.3    Smith, N.A.4
  • 6
    • 84890668120 scopus 로고    scopus 로고
    • Predicting elections with twitter: What 140 characters reveal about political sentiment
    • A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. In ICWSM, 2010.
    • (2010) ICWSM
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3    Welpe, I.M.4
  • 7
    • 79952376390 scopus 로고    scopus 로고
    • Patterns of temporal variation in online media
    • J. Yang and J. Leskovec. Patterns of temporal variation in online media. In WSDM, pages 177-186, 2011.
    • (2011) WSDM , pp. 177-186
    • Yang, J.1    Leskovec, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.