메뉴 건너뛰기




Volumn , Issue , 2013, Pages

Identifying purpose behind electoral tweets

Author keywords

[No Author keywords available]

Indexed keywords

DOWN-STREAM; EMOTION DETECTION; KEY ISSUES; LARGE DATASETS; NATIONAL ELECTIONS; NATURAL LANGUAGE APPLICATIONS; QUESTION ANSWERING; SINGLE EVENT;

EID: 84890631236     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2502069.2502070     Document Type: Conference Paper
Times cited : (15)

References (37)
  • 3
    • 80053418268 scopus 로고    scopus 로고
    • Robust sentiment detection on twitter from biased and noisy data
    • Beijing, China, August
    • L. Barbosa and J. Feng. Robust sentiment detection on twitter from biased and noisy data. In Proceedings of Coling: Poster Volume, pages 36{44, Beijing, China, August 2010.
    • (2010) Proceedings of Coling: Poster Volume , pp. 36-44
    • Barbosa, L.1    Feng, J.2
  • 4
    • 84888153493 scopus 로고    scopus 로고
    • On using twitter to monitor political sentiment and predict election results
    • Chiang Mai, Thailand, Asian Federation of Natural Language Processing
    • A. Bermingham and A. Smeaton. On Using Twitter to Monitor Political Sentiment and Predict Election Results. In Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011), pages 2{10, Chiang Mai, Thailand, 2011. Asian Federation of Natural Language Processing.
    • (2011) Proceedings of the Workshop on Sentiment Analysis Where AI Meets Psychology (SAAIP 2011) , pp. 2-10
    • Bermingham, A.1    Smeaton, A.2
  • 6
    • 79955702502 scopus 로고    scopus 로고
    • Libsvm: A library for support vector machines
    • 2:27:1{27:27, Software available at
    • C.-C. Chang and C.-J. Lin. LIBSVM: A Library for Support Vector Machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1{27:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
    • (2011) ACM Transactions on Intelligent Systems and Technology
    • Chang, C.-C.1    Lin, C.-J.2
  • 7
    • 80055056067 scopus 로고    scopus 로고
    • Can collective sentiment expressed on twitter predict political elections?
    • W. Burgard and D. Roth, editors, California, USA, AAAI Press
    • J. E. Chung and E. Mustafaraj. Can Collective Sentiment Expressed on Twitter Predict Political Elections? In W. Burgard and D. Roth, editors, Proceedings of the 25th AAAI Conference on Artificial Intelligence, California, USA, 2011. AAAI Press.
    • (2011) Proceedings of the 25th AAAI Conference on Artificial Intelligence
    • Chung, J.E.1    Mustafaraj, E.2
  • 8
    • 84883111635 scopus 로고    scopus 로고
    • Omg u got u analysis of shared health messages for bio-surveillance
    • N. Collier, N. Son, and N. Nguyen. OMG U got u? Analysis of Shared Health Messages for Bio-surveillance. Journal of Biomedical Semantics, 2(Suppl 5):S9, 2011.
    • (2011) Journal of Biomedical Semantics , vol.2 , Issue.SUPPL. 5
    • Collier, N.1    Son, N.2    Nguyen, N.3
  • 11
    • 84889960454 scopus 로고
    • An argument for basic emotions
    • P. Ekman. An Argument for Basic Emotions. Cognition and Emotion, 6(3):169{200, 1992.
    • (1992) Cognition and Emotion , vol.6 , Issue.3 , pp. 169-200
    • Ekman, P.1
  • 19
    • 84857070523 scopus 로고    scopus 로고
    • Automatic detection of political opinions in tweets
    • Springer
    • D. Maynard and A. Funk. Automatic Detection of Political Opinions in Tweets. In The Semantic Web: ESWC 2011 Workshops, pages 88{99. Springer, 2011.
    • (2011) The Semantic Web: ESWC 2011 Workshops , pp. 88-99
    • Maynard, D.1    Funk, A.2
  • 26
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • A. Pak and P. Paroubek. Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In Proceedings of LREC, 2010.
    • (2010) Proceedings of LREC
    • Pak, A.1    Paroubek, P.2
  • 30
  • 37
    • 81755187390 scopus 로고    scopus 로고
    • Election forecasts with twitter: How 140 characters reect the political landscape
    • A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Election Forecasts With Twitter: How 140 Characters Reect the Political Landscape. Social Science Computer Review, 29(4):402{418, 2010.
    • (2010) Social Science Computer Review , vol.29 , Issue.4 , pp. 402-418
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3    Welpe, I.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.