Lexicon-Based Methods for Sentiment Analysis

@article{Taboada2011LexiconBasedMF,
  title={Lexicon-Based Methods for Sentiment Analysis},
  author={Maite Taboada and Julian Brooke and Milan Tofiloski and Kimberly D. Voll and Manfred Stede},
  journal={Computational Linguistics},
  year={2011},
  volume={37},
  pages={267-307}
}
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. We show that SO-CAL's performance is consistent across… 

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