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Study on Multi-label Text Classification Based on SVM
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009Two multi-label text classification algorithms are proposed. Firstly, one-against-rest method is used to train sub-classifiers. For the text to be classified, the sub-classifiers are used to obtain the membership vector, and then confirm the classes of the text.
Yu-ping Qin, Xiu-kun Wang
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Long Text Multi-label Classification
2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE), 2023Miao Zang, Siyi Niu, Yang Gao, Xi Chen
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Multi-label Text Classification and Text Adversarial Attack
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA), 2021Yingxin Song, Zhenyan Liu, Chunxia Zhang
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Multi-label text classification via joint learning from label embedding and label correlation
Neurocomputing, 2021Geng Chen, Huiting Liu, Xindong Wu
exaly
Justifying Multi-label Text Classifications for Healthcare Applications
2023João Figueira +3 more
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A Multi-label Classification Algorithm for Non-standard Text
2022 International Conference on Asian Language Processing (IALP), 2022Shihong Chen +4 more
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Hybrid embedding-based text representation for hierarchical multi-label text classification
Expert Systems With Applications, 2022Yinglong Ma
exaly
Multi-Label Text Classification with Transfer Learning
2024 IEEE/ACIS 9th International Conference on Big Data, Cloud Computing, and Data Science (BCD)Likhitha Yelamanchili +3 more
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Multi-label legal text classification with BiLSTM and attention
International Journal of Computer Applications in Technology, 2022Liriam Enamoto +4 more
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