A joint attention enhancement network for text classification applied to citizen complaint reporting
Author:
Funder
Beijing Natural Science Foundation
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04490-y.pdf
Reference34 articles.
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2. Bhanu M, Priya S, Moreira JM, Chandra J (2022) ST-AGP: spatio-temporal aggregator predictor model for multi-step taxi-demand prediction in cities. Appl Intell:1573–7497. https://doi.org/10.1007/s10489-022-03475-7
3. Luo J, Qiu Z, Xie G, Feng J, Hu J, Zhang X (2018) Research on civic hotline complaint text classification model based on word2vec. In: 2018 International conference on cyber-enabled distributed computing and knowledge discovery (cyberc), pp 180–1803. https://doi.org/10.1109/CyberC.2018.00044
4. Madyatmadja ED, Yahya BN, Wijaya C (2022) Contextual text analytics framework for citizen report classification: a case study using the indonesian language. IEEE Access 10:31432–31444. https://doi.org/10.1109/ACCESS.2022.3158940
5. Wu L, Noels L (2022) Recurrent neural networks (rnns) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step. Comput Methods Appl Mech Eng 390:114476. https://doi.org/10.1016/j.cma.2021.114476
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