Natural Language Processing (NLP) and Text Mining
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 1453
Special Issue Editor
Interests: natural language processing; text analytics; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on natural language processing (NLP) and text mining aims to explore the latest advancements and applications of the processing and analysis of natural language data aimed at producing novel knowledge for decision making. This issue welcomes contributions that focus on innovative algorithms, models, and techniques for understanding, interpreting, and generating human language. We encourage submissions on a wide range of topics, including, but not limited to, syntactic and semantic analysis, sentiment analysis, information extraction, machine translation, pattern discovery, and language modeling. Additionally, research on the integration of NLP with other technologies, such as machine learning, deep learning, and neural networks, is highly valued. We also seek papers that address practical applications of text mining in various domains, including healthcare, finance, social media, and cybersecurity. The goal is to provide a comprehensive overview of state-of-the-art NLP and text mining, highlighting both theoretical advances and practical implementations.
Prof. Dr. John Atkinson Abutridy
Guest Editor
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Keywords
- natural language processing (NLP)
- text mining
- sentiment analysis
- information extraction
- machine translation
- language modeling
- deep learning
- neural networks
- semantic analysis
- syntactic analysis
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