Abstract
Emojis are widely used on social media andunderstanding their meaning is important forboth practical purposes (e.g. opinion mining,sentiment detection) and theoretical purposes(e.g. how different L1 speakers use them, dothey have some syntax?); this paper presents aset of experiments that aim to predict a singleemoji from a tweet. We built different mod-els and we found that the test results are verydifferent from the validation results.- Anthology ID:
- S18-1075
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 470–476
- Language:
- URL:
- https://aclanthology.org/S18-1075
- DOI:
- 10.18653/v1/S18-1075
- Cite (ACL):
- Angelo Basile and Kenny W. Lino. 2018. TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 470–476, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction (Basile & Lino, SemEval 2018)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/S18-1075.pdf