Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach

• Antonio Moreno-Ortiz ^[1]
  1. [1] Universidad de Málaga

     Universidad de Málaga

     Málaga, España

     
• Localización: 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017: Proceedings of the Workshop / Alexandra Balahur Dobrescu (ed. lit.), Saif M. Mohammad (ed. lit.), Erik van der Goot (ed. lit.), 2017, ISBN 978-1-945626-95-1, págs. 225-232
• Idioma: inglés
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• Resumen

  • In this paper we describe Tecnolengua Group’s participation in the shared task on emotion intensity at WASSA 2017. We used the Lingmotif tool and a new, com- plementary tool, Lingmotif Learn, which we developed for this occasion. We based our intensity predictions for the four test datasets entirely on Lingmotif’s TSS (text sentiment score) feature. We also devel- oped mechanisms for dealing with the id- iosyncrasies of Twitter text. Results were comparatively poor, but the experience meant a good opportunity for us to iden- tify issues in our score calculation for short texts, a genre for which the Lingmotif tool was not originally designed.