Machine Learning Advances and Applications on Natural Language Processing (NLP)
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1696
Special Issue Editors
Interests: machine learning; deep learning; data mining; parallel algorithms; data structures; information retrieval
Special Issues, Collections and Topics in MDPI journals
Interests: algorithms; data structures; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The impressive achievements of recent state-of-the-art machine learning models are revolutionizing the area of text and language applications. On the one hand, the so-called Large Language Models (LLMs) have demonstrated an enormous capability in automatic and reasonable text generation. On the other hand, the Transformer-based models have drastically improved the performance of other, highly important natural language tools, including traditional sentiment analyzers, machine (auto) translators, and multimedia annotators. Furthermore, such Natural Language Processing (NLP) techniques are heavily utilized in social networks, microblogs, eCommerce systems, and numerous other disciplines.
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.
Indicative topics of interest include, but are not limited to:
- Large-language models;
- Sentiment analysis;
- Machine translation;
- Machine-generated/machine-assisted image and video annotation;
- Effective text/short-text representations;
- Messengers and social networks;
- Text and short-text classification;
- Text and short-text clustering;
- NLP applications for low-power devices.
Dr. Leonidas Akritidis
Prof. Dr. Panayiotis Bozanis
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- LLM
- machine translation
- sentiment analysis
- text representation
- text classification
- text clustering
