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Adaptive Recursive Neural Network for target-dependent Twitter sentiment classification

  • Li Dong
  • , Furu Wei
  • , Chuanqi Tan
  • , Duyu Tang
  • , Ming Zhou
  • , Ke Xu
  • Beihang University
  • Microsoft USA
  • Harbin Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We propose Adaptive Recursive Neural Network (AdaRNN) for target-dependent Twitter sentiment classification. AdaRNN adaptively propagates the sentiments of words to target depending on the context and syntactic relationships between them. It consists of more than one composition functions, and we model the adaptive sentiment propagations as distributions over these composition functions. The experimental studies illustrate that AdaRNN improves the baseline methods. Furthermore, we introduce a manually annotated dataset for target-dependent Twitter sentiment analysis.

源语言英语
主期刊名Long Papers
出版商Association for Computational Linguistics (ACL)
49-54
页数6
ISBN(印刷版)9781937284732
DOI
出版状态已出版 - 2014
活动52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, 美国
期限: 22 6月 201427 6月 2014

出版系列

姓名52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference
2

会议

会议52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
国家/地区美国
Baltimore, MD
时期22/06/1427/06/14

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