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Volumn , Issue , 2014, Pages 700-703

Prediction and analysis of Pakistan election 2013 based on sentiment analysis

Author keywords

Prediction; Sentiment Analysis; Twitter Forecasting

Indexed keywords

DEVELOPING COUNTRIES; FORECASTING; SENTIMENT ANALYSIS; SOCIAL ASPECTS;

EID: 84911164339     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2014.6921662     Document Type: Conference Paper
Times cited : (43)

References (25)
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    • (2012) 45th Hawaii International Conference on System Sciences
    • Stieglitz, S.1    Xuan, L.D.2
  • 8
    • 84889743940 scopus 로고    scopus 로고
    • Automated arabic text categorization using svm and nb
    • June
    • S. Alsaleem, Automated Arabic Text Categorization Using SVM and NB, International Arab Journal of e-Technology, Vol. 2, No. 2, June 2011.
    • (2011) International Arab Journal of E-Technology , vol.2 , Issue.2
    • Alsaleem, S.1
  • 17
    • 84911029101 scopus 로고    scopus 로고
    • Twitter, http://www.twitter.com
  • 23
    • 71149088987 scopus 로고    scopus 로고
    • Users of the world, unite! the challenges and opportunities of social media
    • K. Andreas, H. Michael, Users of the world, unite! The challenges and opportunities of social media, Business Horizons, Vol. 53, Issue 1 (page 61), 2010.
    • (2010) Business Horizons , vol.53 , Issue.1 , pp. 61
    • Andreas, K.1    Michael, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.