Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis-Reference-Cited by-同舟云学术

Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis

Published:2020-01 Issue: Volume:188 Page:104827
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Gan Chenquan,Wang Lu,Zhang Zufan,Wang Zhangyi

Funder

Natural Science Foundation of China

Scientific and Technological Research Program of Chongqing Municipal Education Commission

Chongqing Research Program of Basic Research and Frontier Technology

Research Innovation Program for Postgraduate of Chongqing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference39 articles.

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3. S. Ruder, P. Ghaffari, J.G. Ghaffari, A hierarchical model of reviews for aspect-based sentiment analysis, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016, pp. 999–1005.

4. A methodology to enhance the accuracy of aspect level sentiment analysis using imputation of missing sentiment;Jenifer;Int. J. Recent Sci. Res.,2017

5. Y. Wang, M. Huang, X. Zhu, L. Zhao, Attention-based LSTM for aspect-level sentiment classification, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016, pp. 606–615.

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