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: 20 December 2025 | Viewed by 1654
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
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. Applied Sciences 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
- natural language processing (NLP)
- text mining
- sentiment analysis
- information extraction
- machine translation
- language modeling
- deep learning
- neural networks
- semantic analysis
- syntactic analysis
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
