Cross-Domain Sentiment Classification via Deep Reinforcement Learning

Author:

Dou Lintao1ORCID,Huang Jian1ORCID

Affiliation:

1. College of Intelligent Science, National University of Defense Technology, China

Publisher

ACM

Reference22 articles.

1. John Blitzer , Mark Dredze , and Fernando Pereira . 2007 . Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification . In Proceedings of the 45th annual meeting of the association of computational linguistics. 440–447 . John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the 45th annual meeting of the association of computational linguistics. 440–447.

2. Erik Cambria , Dipankar Das , Sivaji Bandyopadhyay , and Antonio Feraco . 2017. Affective computing and sentiment analysis . In A practical guide to sentiment analysis . Springer , 1–10. Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, and Antonio Feraco. 2017. Affective computing and sentiment analysis. In A practical guide to sentiment analysis. Springer, 1–10.

3. Wasserstein based transfer network for cross-domain sentiment classification

4. Yaroslav Ganin , Evgeniya Ustinova , Hana Ajakan , Pascal Germain , Hugo Larochelle , François Laviolette , Mario Marchand , and Victor Lempitsky . 2016. Domain-adversarial training of neural networks. The journal of machine learning research 17, 1 ( 2016 ), 2096–2030. Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016. Domain-adversarial training of neural networks. The journal of machine learning research 17, 1 (2016), 2096–2030.

5. Words alignment based on association rules for cross-domain sentiment classification

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3