Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators-Reference-Cited by-同舟云学术

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Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
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Author:

Chen Cen,Yang Yinfei,Zhou Jun,Li Xiaolong,Bao Forrest Sheng

Publisher

Association for Computational Linguistics

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BERT based severity prediction of bug reports for the maintenance of mobile applications;Journal of Systems and Software;2024-02

2. Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness;Intelligent Data Analysis;2023-11-16

3. Review helpfulness prediction on e-commerce websites: A comprehensive survey;Engineering Applications of Artificial Intelligence;2023-11

4. Comparative Analysis of Deep Learning Models for Predicting Online Review Helpfulness;Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2023-04-28

5. Effectiveness of Fine-tuned BERT Model in Classification of Helpful and Unhelpful Online Customer Reviews;Electronic Commerce Research;2022-04-29

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