Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media

@article{Paltoglou2012TwitterMD,
  title={Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media},
  author={G. Paltoglou and M. Thelwall},
  journal={ACM Trans. Intell. Syst. Technol.},
  year={2012},
  volume={3},
  pages={66:1-66:19}
}
  • G. Paltoglou, M. Thelwall
  • Published 2012
  • Computer Science
  • ACM Trans. Intell. Syst. Technol.
  • Sentiment analysis is a growing area of research with significant applications in both industry and academia. [...] Key Method Our approach can be applied to, and is tested in, two different but complementary contexts: subjectivity detection and polarity classification. Extensive experiments were carried on three real-world datasets, extracted from online social Web sites and annotated by human evaluators, against state-of-the-art supervised approaches. The results demonstrate that the proposed algorithm, even…Expand Abstract
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