MuCon: Multi-channel convolution for targeted sentiment classification-Reference-Cited by-同舟云学术

MuCon: Multi-channel convolution for targeted sentiment classification

Published:2023-09-06 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Verma Sharad,Kumar Ashish^ORCID,Sharan Aditi

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16586-1.pdf

Reference58 articles.

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3. Benamara F, Cesarano C, Picariello A, Recupero DR, Subrahmanian VS (2007) Sentiment analysis: Adjectives and adverbs are better than adjectives alone. ICWSM 7:203–206

4. Chaturvedi A, Pandit O, Garain U (2018) CNN for text-based multiple choice question answering. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 272–277. Association for Computational Linguistics, Melbourne, Australia. https://doi.org/10.18653/v1/P18-2044. https://www.aclweb.org/anthology/P18-2044

5. Chen P, Sun Z, Bing L, Yang W (2017) Recurrent attention network on memory for aspect sentiment analysis. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 452–461. Association for Computational Linguistics, Copenhagen, Denmark. https://doi.org/10.18653/v1/D17-1047. https://www.aclweb.org/anthology/D17-1047

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