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Predicting Emotional Reaction in Social Networks

  • Jérémie Clos
  • Anil Bandhakavi
  • Nirmalie Wiratunga
  • Guillaume Cabanac
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10193)

Abstract

Online content has shifted from static and document-oriented to dynamic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social network. Recent work on emotional contagion in social networks has shown that information is not neutral and affects its receiver. In this work, we present an approach to detect the emotional impact of news, using a dataset extracted from the Facebook pages of a major news provider. The results of our approach significantly outperform our selected baselines.

Keywords

Root Mean Square Error Rating Vector Multilinear Regression Word Embedding Emotion Lexicon 
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 AG 2017

Authors and Affiliations

  1. 1.Robert Gordon UniversityAberdeenUK
  2. 2.Université de ToulouseToulouseFrance

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