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:

1. Large-language models;
2. Sentiment analysis;
3. Machine translation;
4. Machine-generated/machine-assisted image and 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.

Dr. Leonidas Akritidis
Prof. Dr. Panayiotis Bozanis
Guest Editors

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• LLM
• machine translation
• sentiment analysis
• text representation
• text classification
• text clustering