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Automatic Computing of Global Emotional Polarity in French Health Forum Messages

  • Natalia GrabarEmail author
  • Loïc Dumonet
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9105)

Abstract

Social media provide the possibility for people to freely communicate. These discussion are rich with subjectivity and emotions, which is due to the anonymity of contributors. We propose to work on health fora in French and on subjective entities (e.g. emotions, feelings, uncertainties). Our specific interest is to study how the polarity of emotions is influenced by negation, uncertainty, modifiers and discoursive markers, and how the global polarity of sentences is constructed. We design a rule-based system and evaluate is against manually built reference data. Inter-annotator agreement is between 0.50 and 0.66. An evaluation of the automatic system shows between 40 and 56% precision.

Keywords

Sentiment Analysis Semantic Annotation Discoursive Marker Discourse Connector Health Forum 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.CNRS UMR 8163 STLUniversité Lille 3Villeneuve d’AscqFrance

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