Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets

Isabel Segura-Bedmar, Antonio Quirós, Paloma Martínez


Abstract
Spanish is the third-most used language on the internet, after English and Chinese, with a total of 7.7% (more than 277 million of users) and a huge internet growth of more than 1,400%. However, most work on sentiment analysis has been focused on English. This paper describes a deep learning system for Spanish sentiment analysis. To the best of our knowledge, this is the first work that explores the use of a convolutional neural network to polarity classification of Spanish tweets.
Anthology ID:
E17-1095
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1014–1022
Language:
URL:
https://www.aclweb.org/anthology/E17-1095
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/E17-1095.pdf