메뉴 건너뛰기




Volumn , Issue , 2013, Pages 207-214

Using explicit linguistic expressions of preference in social media to predict voting behavior

Author keywords

Opinion identification and extraction; Personalization; Prediction; Recommendation systems; Social media analysis; Text mining

Indexed keywords

BEHAVIORAL RESEARCH; DATA MINING; FORECASTING; NATURAL LANGUAGE PROCESSING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84893270637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2492517.2492538     Document Type: Conference Paper
Times cited : (8)

References (18)
  • 2
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • G. Linden, B. Smith, and J. York, "Amazon.com recommendations: item-to-item collaborative filtering," Internet Computing, IEEE, 2003.
    • (2003) Internet Computing, IEEE
    • Linden, G.1    Smith, B.2    York, J.3
  • 3
    • 84874906392 scopus 로고    scopus 로고
    • Social media and political engagement
    • L. Rainie, A. Smith, K. L. Schlozman, H. Brady, and S. Verba, "Social media and political engagement," Pew Research Center, 10 2012. [Online]. Available: http://www.pewinternet.org/Reports/2012/Political- engagement/Additional-Analysis/Social-Media-and-Political-Engagement.aspx
    • (2012) Pew Research Center , vol.10
    • Rainie, L.1    Smith, A.2    Schlozman, K.L.3    Brady, H.4    Verba, S.5
  • 4
    • 84893283650 scopus 로고    scopus 로고
    • Fivethirtyeight: Nate silver's political calculus
    • N. Silver, "Fivethirtyeight: Nate silver's political calculus," The New York Times, 2013. [Online]. Available: http://fivethirtyeight.blogs. nytimes.com/
    • (2013) The New York Times
    • Silver, N.1
  • 5
    • 84973302257 scopus 로고    scopus 로고
    • How president obama's campaign used big data to rally individual voters
    • S. Issenberg, "How president obama's campaign used big data to rally individual voters." MIT Technology Review, 2012. [Online]. Available: http://www.technologyreview.com/featuredstory/508836/how-obama-used-big-data-to- rally-voters-part-1/
    • (2012) MIT Technology Review
    • Issenberg, S.1
  • 10
    • 84860196341 scopus 로고    scopus 로고
    • Why the pirate party won the german election of 2009 or the trouble with predictions: A response to tumasjan, a., sprenger, t.o., sander, p.g., & welpe, i.m. "predicting elections with twitter: What 140 characters reveal about political sentiment
    • A. Jungherr, P. Jürgens, and H. Schoen, "Why the pirate party won the german election of 2009 or the trouble with predictions: A response to tumasjan, a., sprenger, t.o., sander, p.g., & welpe, i.m. "predicting elections with twitter: What 140 characters reveal about political sentiment"," Social Science Computer Review, 2012.
    • (2012) Social Science Computer Review
    • Jungherr, A.1    Jürgens, P.2    Schoen, H.3
  • 16
    • 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, vol. 2010, 2010.
    • (2010) Proceedings of LREC , vol.2010
    • Pak, A.1    Paroubek, P.2
  • 17
    • 78650162978 scopus 로고    scopus 로고
    • Sentiment knowledge discovery in twitter streaming data
    • Springer
    • A. Bifet and E. Frank, "Sentiment knowledge discovery in twitter streaming data," in Discovery Science, vol. 6332. Springer, 2010, pp. 1-15.
    • (2010) Discovery Science , vol.6332 , pp. 1-15
    • Bifet, A.1    Frank, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.