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Discovery and Classification of the Underlying Emotions in the User Generated Content (UGC)

  • Ainhoa SernaEmail author
  • Jon Kepa Gerrikagoitia
  • Unai Bernabé
Conference paper

Abstract

Nowadays the User Generated Content (UGC) is growing very fast in Internet. Social networks have become a valuable source for knowledge but there is a big gap in the automatic emotional analysis of online textual content. The aim of this research is to determine the emotional qualities of tourists in the perceptions and experiences that underlie in the UGC, through the automatic identification of emotions in twitter texts. The methodology is a quantitative and qualitative content analysis using affective computing techniques. This paper demonstrates empirically the feasibility of the automatic identification of the underlying emotions in the discourses generated by the (UGC), through a powerful ad-hoc software combining Natural language Processing and affective computing field tools. Furthermore, our approach enriches the classification Parrot and Plutchik categorization framework.

Keywords

Emotions Affective computing UGC Social media analysis Sentiment analysis Natural language processing 

Notes

Acknowledgement

This research has been supported by Basque R + D programmes: Etortek Adi6 leaded by CICtourGUNE.7

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ainhoa Serna
    • 1
    Email author
  • Jon Kepa Gerrikagoitia
    • 2
  • Unai Bernabé
    • 1
  1. 1.Faculty of Engineering, Electronics and Computing DepartmentMondragon UnibertsitateaGipuzkoaSpain
  2. 2.Optimization Modelling and AnalyticsTecnaliaSpain

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