期刊论文

Yang, H

英文

Applied Sciences-Basel

2076-3417

2023

13

14

8550-

10.3390/app13148550

Conceptualization, H.Y. and S.Z.; methodology, G.Z.; software, S.Z. and L.F.; validation, H.Y., J.W. and S.Z.; formal analysis, S.Z.; investigation, H.S.; resources, H.Y. and H.S.; data curation, H.S.; writing—original draft, H.Y. and S.Z.; writing—review and editing, X.D., J.X., S.S. and H.Z.; visualization, S.Z.; supervision, H.Y.; project administration, H.Y.; funding acquisition, H.Y. All authors have read and agreed to the published version of the manuscript. This research was funded by the School Enterprise Cooperation Project (No.whpu-2021-kj-762 and 1145, No.whpu-2022-kj-1586 and 2153), the Hubei Provincial Teaching and Research Project (No.2018368), and the Ministry of Education Industry-University Cooperation Collaborative Education Project (No.220900786024216).

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Text classification is one of the fundamental tasks in natural language processing and is widely applied in various domains. CNN effectively utilizes local features, while the Attention mechanism performs well in capturing content-based global interactions. In this paper, we propose a multi-layer feature fusion text classification model called CAC, based on the Combination of CNN and Attention. The model adopts the idea of first extracting local features and then calculating global attention, while drawing inspiration from the interaction process between membranes in membrane computing to impr...