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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification

February 1, 2023

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Authors

Kai Zhang

University of Science and Technology of China


Hefu Zhang

University of Science and Technology of China


Qi Liu

University of Science and Technology of China


Hongke Zhao

University of Science and Technology of China


Hengshu Zhu

Baidu Inc.


Enhong Chen

University of Science and Technology of China


DOI:

10.1609/aaai.v33i01.33015773


Abstract:

Cross-domain sentiment classification refers to utilizing useful knowledge in the source domain to help sentiment classification in the target domain which has few or no labeled data. Most existing methods mainly concentrate on extracting common features between domains. Unfortunately, they cannot fully consider the effects of the aspect (e.g., the battery life in reviewing an electronic product) information of the sentences. In order to better solve this problem, we propose an Interactive Attention Transfer Network (IATN) for crossdomain sentiment classification. IATN provides an interactive attention transfer mechanism, which can better transfer sentiment across domains by incorporating information of both sentences and aspects. Specifically, IATN comprises two attention networks, one of them is to identify the common features between domains through domain classification, and the other aims to extract information from the aspects by using the common features as a bridge. Then, we conduct interactive attention learning for those two networks so that both the sentences and the aspects can influence the final sentiment representation. Extensive experiments on the Amazon reviews dataset and crowdfunding reviews dataset not only demonstrate the effectiveness and universality of our method, but also give an interpretable way to track the attention information for sentiment.

Topics: AAAI

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HOW TO CITE:

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen Interactive Attention Transfer Network for Cross-Domain Sentiment Classification Proceedings of the AAAI Conference on Artificial Intelligence (2019) 5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019, 5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen (2019). Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen. Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen. 2019. Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. "Proceedings of the AAAI Conference on Artificial Intelligence". 5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen. (2019) "Interactive Attention Transfer Network for Cross-Domain Sentiment Classification", Proceedings of the AAAI Conference on Artificial Intelligence, p.5773-5780

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen, "Interactive Attention Transfer Network for Cross-Domain Sentiment Classification", AAAI, p.5773-5780, 2019.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen. "Interactive Attention Transfer Network for Cross-Domain Sentiment Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen. "Interactive Attention Transfer Network for Cross-Domain Sentiment Classification". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 5773-5780.

Kai Zhang||Hefu Zhang||Qi Liu||Hongke Zhao||Hengshu Zhu||Enhong Chen. Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI[Internet]. 2019[cited 2023]; 5773-5780.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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