Abstract
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, complementary 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 developed mechanisms for dealing with the idiosyncrasies of Twitter text. Results were comparatively poor, but the experience meant a good opportunity for us to identify issues in our score calculation for short texts, a genre for which the Lingmotif tool was not originally designed.- Anthology ID:
- W17-5231
- Volume:
- Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Alexandra Balahur, Saif M. Mohammad, Erik van der Goot
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 225–232
- Language:
- URL:
- https://aclanthology.org/W17-5231
- DOI:
- 10.18653/v1/W17-5231
- Cite (ACL):
- Antonio Moreno-Ortiz. 2017. Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 225–232, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach (Moreno-Ortiz, WASSA 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W17-5231.pdf