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
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
405–409
Language:
URL:
https://www.aclweb.org/anthology/S18-1062
DOI:
10.18653/v1/S18-1062
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1062.pdf