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Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers

  • Published:2012-11-20 Issue:12 Volume:63 Page:2521-2535
  • ISSN:1532-2882
  • Container-title:Journal of the American Society for Information Science and Technology
  • language:en
  • Short-container-title:J Am Soc Inf Sci Tec

Author:

Bae Younggue1,Lee Hongchul1

Affiliation:

1. Department of Industrial Management Engineering; Korea University; Anam-dong, Seongbuk-gu; Seoul; 136-713; Korea

Publisher

Wiley

Subject

Artificial Intelligence,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Software

Reference30 articles.

1. Asur , S. Huberman , B. A. 2010 Predicting the future with social media

2. Twitter mood predicts the stock market;Bollen;Journal of Computational Science,2011

3. Bollen , J. Pepe , A. Mao , H. 2009 Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena 0911.1583 1 10

4. Bradley , M. M. Lang , P. J. 1999 Affective norms for English words (ANEW): Instruction manual and affective ratings

5. Cha , M. Haddadi , H. Benevenuto , F. L. Gummadi , K. P. 2010 Measuring user influence in twitter: The million follower fallacy

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