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Hierarchical state recurrent neural network for social emotion ranking

  • Published:2021-07 Issue: Volume:68 Page:101177
  • ISSN:0885-2308
  • Container-title:Computer Speech & Language
  • language:en
  • Short-container-title:Computer Speech & Language

Author:

Zhou Deyu,Zhang Meng,Yang Yang,He Yulan

Funder

National Key Research and Development Program of China

UK Research and Innovation

Engineering and Physical Sciences Research Council

Innovate UK

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference57 articles.

1. Unsupervised emotion detection from text using semantic and syntactic relations;Agrawal,2012

2. Identifying expressions of emotion in text;Aman;Lect. Notes Comput. Sci.,2007

3. Unsupervised neural machine translation;Artetxe;arXiv preprint arXiv:1710.11041,2017

4. Bahdanau, D., Cho, K., Bengio, Y. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.

5. Joint emotion-topic modeling for social affective text mining;Bao,2009

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1. Review of State‐of‐Art Techniques for Political Polarization from Social Media Network;Deep Learning Techniques for Automation and Industrial Applications;2024-06-21

2. LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics;IEEE Transactions on Computational Social Systems;2024-06

3. A cognitive emotion model enhanced sequential method for social emotion cause identification;Information Processing & Management;2023-05
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