Call for Papers |
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Dear Colleagues,
The impressive achievements of recent state-of-the-art machine learning models are revolutionizing the area of text and language applications. The goal of this Special Issue is to publish high-quality, peer-reviewed original research papers in the area of Natural Language Processing. It will also host high-quality review studies on the involved research fields. The aim of this Special Issue is to provide the research community with a rich collection of key papers that will open new directions in this area by introducing new models, methods, and techniques. The goal of this Special Issue is to publish high-quality, peer-reviewed original research papers in the area of "Machine Learning Advances and Applications on Natural Language Processing (NLP)". It will also host high-quality overview studies on the relevant research fields. The aim of this issue is to provide the research community with a rich collection of key papers that will open new directions in the area by introducing new models, methods and techniques. Indicative topics of interest include, but are not limited to: 1. Large-Language Models 2. Sentiment Analysis 3. Machine Translation 4. Machine-generated/Machine-assisted Image & Video Annotation 5. Effective Text/Short-text representations 6. Messengers and Social Networks 7. Text and Short-text classification 8. Text and Short-text clustering 9. NLP applications for low-power devices Deadline for manuscript submissions: 31 December 2024 Special issue web site: https://www.mdpi.com/journal/electronics/special_issues/CR7ISFW633 Guest Editors: Leonidas Akritidis: Department of Information and Electronic Engineering, International Hellenic University Panayiotis Bozanis: Department of Information and Electronic Engineering, International Hellenic University Message from the Editor-in-Chief: Electronics is a multidisciplinary journal designed to appeal to a diverse audience of research scientists, practitioners, and developers in academia and industry. The journal is devoted to fast publication of latest technological breakthroughs, cutting-edge developments, and timely reviews of current and emerging technologies related to the broad field of electronics. Experimental and theoretical results are published as regular peer-reviewed articles or as articles within Special Issues guest-edited by leading experts in selected topics of interest. Author Benefits: 1. Open Access: free for readers, with article processing charges (APC) paid by authors or their institutions. 2. High Visibility: indexed within Scopus, SCIE (Web of Science), CAPlus/SciFinder, Inspec, and other databases. 3. Journal Rank: JCR - Q2(Electrical and Electronic Engineering) CiteScore - Q2 (Electrical and Electronic Engineering) 4. Impact Factor: 2.9 5. CiteScore: 4.7 Kind regards, Leonidas Akritidis International Hellenic Unversity |
Credits and Sources |
| [1] Machine Learning on NLP 2024 : Machine Learning Advances and Applications on Natural Language Processing (NLP) |
