From classification to quantification in tweet sentiment analysis

@article{Gao2016FromCT,
  title={From classification to quantification in tweet sentiment analysis},
  author={Wei Gao and Fabrizio Sebastiani},
  journal={Social Network Analysis and Mining},
  year={2016},
  volume={6},
  pages={1-22}
}
Sentiment classification has become a ubiquitous enabling technology in the Twittersphere, since classifying tweets according to the sentiment they convey towards a given entity (be it a product, a person, a political party, or a policy) has many applications in political science, social science, market research, and many others. In this paper, we contend that most previous studies dealing with tweet sentiment classification (TSC) use a suboptimal approach. The reason is that the final goal of… CONTINUE READING
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SemEval-2013 Task 2: sentiment analysis in Twitter

  • P Nakov, S Rosenthal, Z Kozareva, V Stoyanov, A Ritter, T Wilson
  • Proceedings of the 7th international workshop on…
  • 2013
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