Výsledky vyhledávání - Multi-label Text Classification in Machine Learning~

Impact Analysis of Text Representation on Biomedical Multi-Label Text Classification with Deep Learning

Autoři: Hemraj Kumawat Aditi Sharan Shikha Verma

Zdroj: Procedia Computer Science. 258:3294-3304

Text Classification Based on Natural Language Processing and Machine Learning in Multi-Label Corpus

Autoři: Haitao Yu Feng Xiong Zuhui Chen

Zdroj: ACM Transactions on Asian and Low-Resource Language Information Processing. 23:1-14

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Hierarchical Multi-Class and Multi-Label Text Classification for Crime Report: A Traditional Machine Learning Approach

Autoři: Andre R. Vieira Glaucio De S. Santos Wilson S. Melo a další

Zdroj: IEEE Access, Vol 13, Pp 206431-206446 (2025)

Témata: Hierarchical multilabel text classification, crime narratives, XGBoost, text embeddings, semantic clustering, public security data, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11271427/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/8a2527ce93134b099add0f1b616c091e

Contrastive learning-enhanced dual attention network for multi-label text classification

Autoři: Hui Huang Mingfeng Yu Shuai Yu a další

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 6, Pp 1-20 (2025)

Témata: Multi-label text classification, Natural language processing, Dual-attention network, Deep learning, Applications of artificial intelligence, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Přístupová URL adresa: https://doaj.org/article/ac178fb2b8064cac8901b86423ec82d5

Impact Analysis of Text Representation on Biomedical Multi-Label Text Classification with Deep Learning.

Autoři: Kumawat, Hemraj Sharan, Aditi Verma, Shikha

Zdroj: Procedia Computer Science. 2025, Vol. 258, p3294-3304. 11p.

Témata: Natural language processing, Information retrieval, Transformer models, Deep learning, Classification, Taxonomy

AFAAN OROMO MULTI LABEL NEWS TEXT CLASSIFICATION USING DEEP LEARNING APPROACH

Autoři: ASCHALEW ALEMU

Témata: Text classification, Deep learning, RNN, CNN, LSTM, GRU and word-embedding

Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data.

Autoři: He, Zhi Zhou, Chengle Zou, Liwei a další

Zdroj: International Journal of Digital Earth. Dec2025, Vol. 18 Issue 1, p1-24. 24p.

Témata: *TYPHOONS, *DEEP learning, *SPATIOTEMPORAL processes, *DATA mining, *USER-generated content, *EMERGENCY management

Reviews & Products: WEIBO (Web resource)

Multi-Label Classification of Bilingual Doctor Responses in Online Medical Consultations Using Deep Learning

Autoři: Safitri Juanita Diana Purwitasari I Ketut Eddy Purnama a další

Zdroj: Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), Vol 14, Iss 2 (2025)

Témata: deep learning, medical interview function, multi-label text classification, low-resource language processing, online health consultation, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://ejournal.undiksha.ac.id/index.php/janapati/article/view/96980; https://doaj.org/toc/2089-8673; https://doaj.org/toc/2548-4265

Přístupová URL adresa: https://doaj.org/article/c7d16c549561405aaff1fd71e3d27568

HMATC: Hierarchical multi-label Arabic text classification model using machine learning

Autoři: Mounira Taileb Nawal Aljedani Reem Alotaibi

Zdroj: Egyptian Informatics Journal, Vol 22, Iss 3, Pp 225-237 (2021)

Témata: Electronic computers. Computer science, Text classification, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Multi-label classification, QA75.5-76.95, 02 engineering and technology, Hierarchical classification, Arabic natural language processing

Přístupová URL adresa: https://doaj.org/article/22581a0b41b04e6fac8b10cc401b6901
http://www.sciencedirect.com/science/article/pii/S1110866520301523
https://www.sciencedirect.com/science/article/pii/S1110866520301523
https://doaj.org/article/22581a0b41b04e6fac8b10cc401b6901

Classifying ultra‐short scientific texts using a hybrid hierarchical multi‐label classification framework.

Autoři: Wu, Dengsheng Wu, Huidong Meng, Fan a další

Zdroj: Journal of the Association for Information Science & Technology. Dec2025, Vol. 76 Issue 12, p1625-1646. 22p.

Témata: *Data mining, *Natural language processing, *Information retrieval, *Machine learning, *Algorithms, *Classification, Statistical models, Research funding, Infrared spectroscopy, Comparative studies, Analytical chemistry

Deep learning based multi-label text classification of UNGA resolutions

Autoři: Sovrano, Francesco Palmirani, Monica Vitali, Fabio a další

Přispěvatelé: Sovrano, Francesco Palmirani, Monica Vitali, Fabio a další

Zdroj: Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance. :686-695

Témata: FOS: Computer and information sciences, Multi-label text classification, Deep learning, United Nations Resolutions, Sustainable Development Goals, Akoma Ntoso, Computer Science - Machine Learning, 1707 Computer Vision and Pattern Recognition, 10009 Department of Informatics, 1. No poverty, Machine Learning (stat.ML), 02 engineering and technology, 000 Computer science, knowledge & systems, Computer Science - Information Retrieval, Machine Learning (cs.LG), 1712 Software, 1709 Human-Computer Interaction, Statistics - Machine Learning, 1705 Computer Networks and Communications, 0202 electrical engineering, electronic engineering, information engineering, Information Retrieval (cs.IR)

Popis souboru: application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/pdf; 2004.03455v1.pdf - application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/2004.03455
http://arxiv.org/abs/2004.03455
https://cris.unibo.it/handle/11585/785695
https://dl.acm.org/doi/10.1145/3428502.3428604
https://dblp.uni-trier.de/db/journals/corr/corr2004.html#abs-2004-03455
https://doi.org/10.1145/3428502.3428604
http://arxiv.org/pdf/2004.03455.pdf
https://ui.adsabs.harvard.edu/abs/2020arXiv200403455S/abstract
https://arxiv.org/abs/2004.03455
https://dl.acm.org/doi/10.1145/3428502.3428604
https://doi.org/10.1145/3428502.3428604
https://hdl.handle.net/11585/785695

Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification

Autoři: Lama Ayash Abdulmohsen Algarni Omar Alqahtani

Zdroj: IEEE Access, Vol 13, Pp 145925-145937 (2025)

Témata: Multi-label classification, natural language processing, deep learning, neural networks, text classification, attention mechanisms, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11129041/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/a5b2a50f65d240e29a2d69f2a6ab70f6

MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification

Autoři: Hui Ye Rajshekhar Sunderraman Shihao Ji

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 36:4781-4793

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computation and Language (cs.CL), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2308.13139

ADVANCED TECHNIQUES IN MULTI-LABEL TEXT CLASSIFICATION: INTEGRATION OF BETA ANT COLONY AND DEEP LEARNING APPROACHES

Autoři: Amit Shrivastava null Rakesh Kumar

Zdroj: ShodhKosh: Journal of Visual and Performing Arts. 5

FALCON: A multi-label graph-based dataset for fallacy classification in the COVID-19 infodemic

Autoři: Chaves, Mariana Cabrio, Elena Villata, Serena

Přispěvatelé: Chaves, Mariana Cabrio, Elena Villata, Serena

Zdroj: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :988-995

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], text classification, transformer models, language models, fallacious argumentation, natural language processing, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04834405v1/document
https://doi.org/10.1145/3672608.3707913
https://hal.science/hal-04834405v1

Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification

Autoři: Jibing Gong Hongyuan Ma Zhiyong Teng a další

Zdroj: IEEE Access, Vol 8, Pp 30885-30896 (2020)

Témata: graph transformer, graph modeling, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Multi-label text classification, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08988213.pdf
https://doaj.org/article/d172022294864d1b8ccde55ba9c09846
https://ieeexplore.ieee.org/document/8988213
https://dblp.uni-trier.de/db/journals/access/access8.html#GongMTTZDCBLL20
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002225610972512
https://doi.org/10.1109/ACCESS.2020.2972751

Enhancing Multi-Label News Text Classification for an Understudied Language: A Comprehensive Study on CNN Performance and Pre-Trained Word Embeddings.

Autoři: Rundasa, Diriba Gichile Ramu, Arulmurugan

Zdroj: International Journal of Engineering Science & Information Technology; 2025, Vol. 5 Issue 4, p191-197, 7p

Témata: CONVOLUTIONAL neural networks, DEEP learning, NATURAL language processing, AUTOMATIC classification, MACHINE learning, JOURNALISM

Enhancing Multi-Label News Text Classification for an Understudied Language: A Comprehensive Study on CNN Performance and Pre-Trained Word Embeddings

Autoři: Diriba Gichile Rundasa Arulmurugan Ramu

Zdroj: International Journal of Engineering, Science and Information Technology. 5:191-197

Hierarchical deep learning for multi-label imbalanced text classification of economic literature

Autoři: Sanne Lin Flavius Frasincar Jasmijn Klinkhamer

Zdroj: Applied Soft Computing. 176:113189

Přístupová URL adresa: https://pure.eur.nl/en/publications/04be07ba-96b5-483e-874e-bb236f463188
https://doi.org/10.1016/j.asoc.2025.113189

Ontology based Feature Selection and Weighting for Text classification using Machine Learning

Autoři: Djelloul Bouchiha Abdelghani Bouziane Noureddine Doumi

Zdroj: Journal of Information Technology and Computing. 4:1-14

Témata: FOS: Computer and information sciences, Artificial intelligence, Support vector machine, Class (philosophy), Feature (linguistics), 02 engineering and technology, Epistemology, Weighting, Pattern recognition (psychology), Feature vector, Web Data Extraction and Crawling Techniques, Machine Learning Algorithms, Selection (genetic algorithm), Artificial Intelligence, Multi-label Text Classification in Machine Learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Syntax, Feature Selection, Multi-label Learning, Content Adaptation, Text Classification, Preprocessor, Ontology, Natural language processing, 4. Education, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Automatic Keyword Extraction from Textual Data, Philosophy, Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Medicine, Radiology, Information Systems