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://aclanthology.org/E17-1095
DOI:
Bibkey:
Cite (ACL):
Isabel Segura-Bedmar, Antonio Quirós, and Paloma Martínez. 2017. Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1014–1022, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets (Segura-Bedmar et al., EACL 2017)
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PDF:
https://aclanthology.org/E17-1095.pdf