A cross-lingual sentiment topic model evolution over time-Reference-Cited by-同舟云学术

A cross-lingual sentiment topic model evolution over time

Published:2020-03-27 Issue:2 Volume:24 Page:253-266
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Musa Ibrahim Hussein¹,Xu Kang²,Liu Feng³,Zamit Ibrahim¹,Abro Waheed Ahmed¹,Qi Guilin¹

Affiliation:

1. School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China

2. School of Computer Science, Nanjing University of Posts Telecommunications, Nanjing, Jiangsu, China

3. ZTE Communications Co., Ltd., Nanjing, Jiangsu, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference36 articles.

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3. J. Boyd-Graber and D.M. Blei, Multilingual topic models for unaligned text, in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, AUAI Press, 2009, pp. pp. 75–82.

4. J. Boyd-Graber and P. Resnik, Holistic sentiment analysis across languages: Multilingual supervised latent dirichlet allocation, in Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2010, pp. 45–55.

5. Q. Chen, C. Li and W. Li, Modeling language discrepancy for cross-lingual sentiment analysis, in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, ACM, 2017, pp. 117–126.

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