An improved unified domain adversarial category-wise alignment network for unsupervised cross-domain sentiment classification

Author:

Jia XibinORCID,Li Chen,Zeng Meng,Wang Luo,Mi QingORCID

Funder

Beijing University of Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference45 articles.

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2. Blitzer, J., Dredze, M., Pereira, F., 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. pp. 440–447.

3. Blitzer, J., McDonald, R., Pereira, F., 2006. Domain adaptation with structural correspondence learning. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing. pp. 120–128.

4. Cross-domain sentiment classification using sentiment sensitive embeddings;Bollegala;IEEE Trans. Knowl. Data Eng.,2015

5. Marginalized denoising autoencoders for domain adaptation;Chen,2012

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2. Dynamic Function Generation for Text Classification;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

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