Aspect Extraction from Reviews Using Convolutional Neural Networks and Embeddings-Reference-Cited by-同舟云学术

Aspect Extraction from Reviews Using Convolutional Neural Networks and Embeddings

Published:2019 Issue: Volume: Page:409-415
ISSN:0302-9743
Container-title:Natural Language Processing and Information Systems
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Author:

Barnaghi Peiman,Kontonatsios Georgios,Bessis Nik,Korkontzelos Yannis

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-23281-8_37

Reference23 articles.

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2. Chernyshevich, M.: IHS R&D belarus: cross-domain extraction of product features using CRF. In: Proceedings of SemEval, pp. 309–313 (2014)

3. Cuong, N.V., Ye, N., Lee, W.S., et al.: Conditional random field with high-order dependencies for sequence labeling and segmentation. J. Mach. Learn. Res. 15(1), 981–1009 (2014)

4. He, R., McAuley, J.: Ups and downs: modeling the visual evolution of fashion trends with one-class collaborative filtering. In: Proceedings of WWW, pp. 507–517 (2016)

5. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of SIGKDD, pp. 168–177. ACM (2004)

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