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Approach (for English so far)

Our aim is to evaluate sentiment polarity (Negative/Positive) at several levels of granularity:

  • document (overall sentiment): appropriate for blog posts or technical review articles, estimated whether the author's opinion on the topic is generally positive or negative. Strong polarity means the author is very subjective.
  • paragraph (aspect oriented)
  • entity (very specific target)

Input: a sentiment dictionary of sentiwords, i.e. words that have some polarity, together with scores that quantify how positive or how negative they are.

Sentiment dictionary

Sentiment evaluation algorithms

Pipeline for document sentiment:

  1. Sentiment mapping

Pipeline for entity sentiment:

  1. Concept tagging
  2. Segmentation
  3. Sentiment mapping
  4. Sentiment evaluation
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