Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator

• Venkatesh Duppada ^[1] ; Sushant Hiray ^[1]
  1. [1] Seernet Technologies, LLC
• 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. 205-211
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • The paper describes experiments on esti- mating emotion intensity in tweets using a generalized regressor system. The sys- tem combines lexical, syntactic and pre- trained word embedding features, trains them on general regressors and finally combines the best performing models to create an ensemble. The proposed sys- tem stood 3rd out of 22 systems in the leaderboard of WASSA-2017 Shared Task on Emotion Intensity.