SemEval-2013 task 2: sentiment analysis in Twitter

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SemEval-2013 task 2: sentiment analysis in Twitter
Authors: Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, Theresa Wilson
Citation: missing booktitle  : 2013
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Link(s): http://www.cs.york.ac.uk/semeval-2013/accepted/101_Paper.pdf
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SemEval-2013 task 2: sentiment analysis in Twitter is the overview paper for SemEval-2013 task of sentiment analysis of Twitter and SMS text messages.

It shows the results of over 35 different approaches to sentiment analysis with different tasks. Among those described are:

  1. BOUNCE: sentiment classification in Twitter using rich feature sets
  2. KLUE: simple and robust methods for polarity classification
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