Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hybrid Approach for Multi-Classification of News Documents Using Artificial Intelligence Subject The topic of the resource BERT; Deep Learning; Machine Learning; Natural Language Processing; Text Classification Description An account of the resource In the context of news articles, text classification is essential for organizing and retrieving useful information from massive amounts of textual data. Effectively categorizing news titles has gotten more challenging due to the development of online news outlets and the ongoing production of news. A multi-text classification technique primarily targeted at news titles is shown. The suggested approach automates the classification of news titles into predetermined classes or subjects by combining deep learning approaches and natural language processing (NLP) algorithms. Data preprocessing, which includes text normalization, tokenization, and feature extraction, is the first step in the procedure. This prepares the raw news titles for deep learning models. 2024 IEEE. Creator An entity primarily responsible for making the resource Nagendra N.; Chandra J. Source A related resource from which the described resource is derived Proceedings - 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024, pp. 466-473. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICV62344.2024.00079" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICV62344.2024.00079</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193255348&amp;doi=10.1109%2FICICV62344.2024.00079&amp;partnerID=40&amp;md5=b7e7cd69387a5bf8266796b9fd4c193d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193255348&amp;doi=10.1109%2fICICV62344.2024.00079&amp;partnerID=40&amp;md5=b7e7cd69387a5bf8266796b9fd4c193d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038564-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nagendra N., Christ (Deemed to Be) University, Department of Computer Science., Bengaluru, India; Chandra J., Christ (Deemed to Be) University, Department of Computer Science., Bengaluru, India