BOUNCE: sentiment classification in Twitter using rich feature sets

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Conference paper (help)
BOUNCE: sentiment classification in Twitter using rich feature sets
Authors: Nadin Kökciyan, Arda Celebi†, Arzucan Özgur, Suzan Üskudarlı
Citation: missing booktitle  : 2013
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Database(s): Google Scholar cites
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Link(s): http://www.cmpe.boun.edu.tr/~ozgur/papers/bounce.pdf
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BOUNCE: sentiment classification in Twitter using rich feature sets reports on a system for sentiment analysis of posts from Twitter for the SemEval competition.

[edit] Method

Features included (see Table 1):

  1. Single-word features.
  2. Match to slang dictionary
  3. Emoticons
  4. Sentiment analysis using AFINN and SentiWordNet word lists.
  5. ...

[edit] Related papers

  1. KLUE: simple and robust methods for polarity classification
  2. SemEval-2013 task 2: sentiment analysis in Twitter
  3. senti.ue-en: an approach for informally written short texts in SemEval-2013 sentiment analysis task
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