Natural Language Processing and Data Mining
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Signal and Data Analysis".
Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 5423
Special Issue Editor
Special Issue Information
Dear Colleagues,
Natural language processing (NLP) and data mining are two rapidly advancing and synergistic fields with broad applications of the relevant concepts of entropy, information theory, or related studies. Entropy is calling for original research submissions for a Special Issue highlighting recent innovations and advances. We invite research covering novel techniques, studies, methodologies, and technologies that integrate NLP and data mining theories, models, and algorithms. Potential topics include, but are not limited to, the following: using NLP techniques to extract and structure data from unstructured text for mining, enhancing the discovery of knowledge and patterns from text using data mining, multimodal data mining leveraging linguistic cues and rules, and studies evaluating the effectiveness of different NLP and data mining integration approaches, as well as broader applications such as sentiment analysis, recommendation systems, question answering, and decision making systems empowered by both capabilities. Both theoretical contributions and empirical studies on real-world datasets are within scope. The purpose of this Special Issue is to highlight high-quality and impactful research advancing NLP and data mining capabilities when applying the relevant concepts of entropy, information theory, or related studies.
Dr. Manling Li
Guest Editor
Manuscript Submission Information
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Keywords
- natural language processing
- data mining
- information theory
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