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文章基本信息

  • 标题:Exploring Convolutional Neural Networks for Sentiment Analysis ofSpanish tweets
  • 本地全文:下载
  • 作者:Isabel Segura-Bedmar ; Antonio Quirós ; Paloma Martínez
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2017
  • 卷号:2017
  • 页码:1014-1022
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要: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.
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