The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction

Larisa Alexa, Alina Lorenț, Daniela Gîfu, Diana Trandabăț

Abstract
The “Multilingual Emoji Prediction” task focuses on the ability of predicting the correspondent emoji for a certain tweet. In this paper, we investigate the relation between words and emojis. In order to do that, we used supervised machine learning (Naive Bayes) and deep learning (Recursive Neural Network).
Anthology ID:
S18-1062
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:
405–409
Language:
URL:
https://aclanthology.org/S18-1062
DOI:
10.18653/v1/S18-1062
Bibkey:
Cite (ACL):
Larisa Alexa, Alina Lorenț, Daniela Gîfu, and Diana Trandabăț. 2018. The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 405–409, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction (Alexa et al., SemEval 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl24-info/S18-1062.pdf
PDF Search