Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets

被引：0

作者：

Segura-Bedmar, Isabel ^{[1
]}

Quiros, Antonio ^{[2
]}

Martinez, Paloma ^{[1
]}

机构：

[1] Univ Calos III Madrid, Comp Sci Dept, Madrid, Spain

[2] Sngular, Data & Analyt Div, Madrid, Spain

来源：

15TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2017), VOL 1: LONG PAPERS | 2017年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Spanish is the third-most used language on the Internet, after English and Chinese, with a total of 7.7% of Internet users (more than 277 million of users) and a huge users growth of more than 1,400%. However, most work on sentiment analysis has 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.Y

引用

页码：1014 / 1022

页数：9

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