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Volumn , Issue , 2011, Pages 618-623

What do the average twitterers say: A twitter model for public opinion analysis in the face of major political events

Author keywords

Social features; Subjectivity; Twitter

Indexed keywords

ANALYSIS APPROACH; ANALYSIS TECHNIQUES; CLASSIFICATION TASKS; DEVELOPING WORLD; EXPERIMENTAL EVALUATION; LARGE-SCALE APPLICATIONS; NOVEL METHODS; POLITICAL EVENTS; PUBLIC OPINIONS; SOCIAL FEATURES; SOCIAL MEDIA; SUBJECTIVITY; TWITTER; USER SURVEYS;

EID: 80052752113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2011.85     Document Type: Conference Paper
Times cited : (24)

References (12)
  • 1
    • 78951477510 scopus 로고    scopus 로고
    • Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
    • abs/0911.1583
    • Bollen, J., Pepe, A., and Mao, H. 2010. Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena. CoRR, abs/0911.1583, 2009.
    • (2010) CoRR , pp. 2009
    • Bollen, J.1    Pepe, A.2    Mao, H.3
  • 4
    • 77954619566 scopus 로고    scopus 로고
    • What is Twitter, a social network or a news media?
    • ACM Press
    • Kwak, H., Lee, C., Park, H., and Moon, S. What is Twitter, a social network or a news media? In Proc. WWW 2010, ACM Press (2010), 591-600.
    • (2010) Proc. WWW 2010 , pp. 591-600
    • Kwak, H.1    Lee, C.2    Park, H.3    Moon, S.4
  • 6
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Pak, A., and Paroubek, P. 2010. Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In Proceedings LREC 2010.
    • (2010) Proceedings LREC 2010
    • Pak, A.1    Paroubek, P.2
  • 7
    • 48449095896 scopus 로고    scopus 로고
    • Opinion mining and sentiment analysis
    • January, 2008
    • Pang, B., and Lee, L. 2008. Opinion Mining and Sentiment Analysis. In Foundations and Trends in Information Retrieval, Vol. 2, No. 1-2 pp. 1-135, January, 2008.
    • (2008) Foundations and Trends in Information Retrieval , vol.2 , Issue.1-2 , pp. 1-135
    • Pang, B.1    Lee, L.2
  • 10
    • 84873450362 scopus 로고    scopus 로고
    • Differences in the mechanics of information diffusion across topics: Idions, political hashtags and complex contagion on twitter
    • To appear in, ACM Press (2010)
    • Romero, D. M., Meeder, B., and Kleinberg, J. 2011. Differences in the Mechanics of Information Diffusion Across Topics: Idions, Political Hashtags and Complex Contagion on Twitter. To appear in Proc. WWW 2011, ACM Press (2010).
    • (2011) Proc. WWW 2011
    • Romero, D.M.1    Meeder, B.2    Kleinberg, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.