Recent Applications of Machine Learning and LLMs in Natural Language Processing (NLP): 2nd Edition

Dear Colleagues,

In the dynamic digital age, the integration of machine learning into Natural Language Processing (NLP) has ushered in a revolutionary shift. The prevalence of data-driven decision-making and human-like interfaces highlights the growing significance of these technologies. This Special Issue will explore the latest applications of machine learning in NLP, with a focus on its potential to reshape human–computer interaction.

NLP encompasses a wide range of tasks, ranging from sentiment analysis that uncovers emotions in text to voice analysis and processing, enhancing auditory communication. Entity recognition plays a crucial role in information retrieval, while syntax analysis helps us to understand the complex structures of language. The fields of machine translation and summarization are undergoing revolutionary changes, enabling seamless cross-cultural and multilingual interactions. Large Language Models (LLMs), with their powerful information-processing capabilities, are enhancing question-answering systems, chatbots, and conversational agents, making interactions more natural and intuitive. The combination of image semantic segmentation and NLP is also opening up new possibilities for multimedia understanding.

Moreover, the interdisciplinary applications of NLP are growing. In healthcare, NLP is being used for clinical text analysis, aiding diagnosis and patient care. In finance, it enables automated risk assessment, providing more accurate and efficient financial services. In multimodal systems, NLP combined with text-image generation is creating more immersive and interactive experiences. Additionally, foundational NLP techniques such as semantic modeling and cross-domain knowledge transfer are the cornerstones of these advancements, attracting research from diverse fields.

Relevant areas of exploration within the intersection of machine learning and NLP include, but are not limited to, the following:

• Sentiment Analysis;
• Voice Analysis and Processing;
• Entity Recognition;
• Syntax Analysis;
• Machine Translation and Summarization;
• Large Language Models;
• Question Answering;
• Chatbots and Conversational Agents;
• Image Semantic Segmentation;
• Interdisciplinary Applications in Healthcare, Finance, and Multimodal Systems;
• Semantic Modeling and Cross-domain Knowledge Transfer.

This Special Issue invites high-quality, original research papers that explore the latest applications, challenges, and future prospects of machine learning in NLP. We look forward to receiving your contributions to this exciting field of research.

Dr. Carlos A. Iglesias
Dr. Jinyi Zhang
Guest Editors

Manuscript Submission Information

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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.

• sentiment analysis
• voice analysis and processing
• entity recognition
• syntax analysis
• machine translation and summarization
• large language models
• question answering
• chatbots and conversational agents
• image semantic segmentation
• interdisciplinary applications in healthcare, finance, and multimodal systems
• semantic modeling and cross-domain knowledge transfer