TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction

Angelo Basile, Kenny W. Lino


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/S18-1075.pdf