ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning

José-Ángel González, Ferran Pla, Lluís-F. Hurtado


Abstract
This paper describes the participation of ELiRF-UPV team at task 4 of SemEval2017. Our approach is based on the use of convolutional and recurrent neural networks and the combination of general and specific word embeddings with polarity lexicons. We participated in all of the proposed subtasks both for English and Arabic languages using the same system with small variations.
Anthology ID:
S17-2121
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
723–727
Language:
URL:
https://www.aclweb.org/anthology/S17-2121
DOI:
10.18653/v1/S17-2121
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2121.pdf