Document-level sentiment classification: An empirical comparison between SVM and ANN

@article{Moraes2013DocumentlevelSC,
  title={Document-level sentiment classification: An empirical comparison between SVM and ANN},
  author={Rodrigo Moraes and Jo{\~a}o Francisco Valiati and Wilson P. Gavi{\~a}o Neto},
  journal={Expert Syst. Appl.},
  year={2013},
  volume={40},
  pages={621-633}
}
0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.07.059 ⇑ Corresponding author. E-mail addresses: rodrigomorae@gmail.com (R. M (J.F. Valiati), wgaviao@gmail.com (W.P. Gavião Neto). Document-level sentiment classification aims to automate the task of classifying a textual review, which is given on a single topic, as expressing a positive or negative sentiment. In general, supervised methods consist of two stages: (i) extraction/selection of informative… CONTINUE READING
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