On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages

@article{Vilares2015OnTU,
  title={On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages},
  author={David Vilares and Miguel A. Alonso and Carlos G{\'o}mez-Rodr{\'i}guez},
  journal={JASIST},
  year={2015},
  volume={66},
  pages={1799-1816}
}
Millions of micro texts are published every day on Twitter. Identifying the sentiment present in them can be helpful for measuring the frame of mind of the public, their satisfaction with respect to a product or their support of a social event. In this context, polarity classification is a subfield of sentiment analysis focussed on determining whether the content of a text is objective or subjective, and in the latter case, if it conveys a positive or a negative opinion. Most polarity detection… CONTINUE READING
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