Sense understanding of text conversation using temporal convolution neural network
Author:
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/s11042-022-12090-0.pdf
Reference23 articles.
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2. Camacho-Collados J, Pilehvar MT (2017) On the role of text preprocessing in neural network architectures: An evaluation study on text categorization and sentiment analysis. arXiv preprint arXiv:1707.01780
3. Feizollah A, Ainin S, Anuar NB, Abdullah NAB, Hazim M (2019) Halal products on Twitter: Data extraction and sentiment analysis using stack of deep learning algorithms. IEEE Access 7:83354–83362
4. Gui L, Jia L, Zhou J, Xu R, He Y (2020) Multi-task learning with mutual learning for joint sentiment classification and topic detection. IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2020.2999489
5. Hall JK (2019) The contributions of conversation analysis and interactional linguistics to a usage-based understanding of language: Expanding the transdisciplinary framework. Mod Lang J 103:80–94
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