Design of multi-label classification model with enhanced feature extraction

Chuanjie Xu; Feng Yuan; Shouqiang Chen; Bing Wang

doi:10.1117/12.3004853

16 August 2023 Design of multi-label classification model with enhanced feature extraction

Chuanjie Xu, Feng Yuan, Shouqiang Chen, Bing Wang

Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 127872L (2023) https://doi.org/10.1117/12.3004853
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China

Abstract

This article proposes a sequence-to-sequence based multi-label text classification model. The model combines neural convolutional networks and self-attention mechanisms as encoders, and designs a novel decoder to decode and generate label sequences. The proposed method not only fully considers the interpretable fine-grained information in the source text, but also effectively utilizes this information to generate label sequences. When predicting labels, the global information and local information can be effectively combined to improve the accuracy of label prediction. To verify the effectiveness of the proposed model, this article conducted a large number of comparative experiments. The results show that compared with other models, the model proposed in this article has better performance in different indicators.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chuanjie Xu, Feng Yuan, Shouqiang Chen, and Bing Wang "Design of multi-label classification model with enhanced feature extraction", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 127872L (16 August 2023); https://doi.org/10.1117/12.3004853

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KEYWORDS

Data modeling

Design and modelling

Convolution

Convolutional neural networks

Feature extraction

Performance modeling

Neural networks

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