Deep learning for sentiment analysis: A survey-Reference-Cited by-同舟云学术

Deep learning for sentiment analysis: A survey

Published:2018-03-30 Issue:4 Volume:8 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Zhang Lei¹,Wang Shuai²,Liu Bing²

Affiliation:

1. Linkedin CorporationSunnyvaleCAUSA

2. University of Illinois at ChicagoChicagoILUSA

Funder

National Science Foundation

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1253

Reference149 articles.

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2. Abdul‐Mageed M. &Ungar L. (2017). EmoNet: Fine‐grained emotion detection with gated recurrent neural networks. InProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2017).

3. Akhtar M. S. Kumar A. Ekbal A. &Bhattacharyya P. (2016). A hybrid deep learning architecture for sentiment analysis. InProceedings of the International Conference on Computational Linguistics (COLING 2016).

4. Akhtar M. S. Kumar A. Ghosal D. Ekbal A. &Bhattacharyya P. (2017). A multilayer perceptron based ensemble technique for fine‐grained financial sentiment analysis. InProceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP 2017).

5. Augenstein I. Rocktäschel T. Vlachos A. Bontcheva K. (2016). Stance detection with bidirectional conditional encoding. InProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016).

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