Data and Text Mining: New Approaches, Achievements and Applications
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 August 2024 | Viewed by 331
Special Issue Editor
Interests: applied data science; social/human data science; computational social science; data mining; text mining; natural language processing; statistical learning; machine learning; deep learning; big data analysis
Special Issue Information
Dear Colleagues,
In today's data-driven world, the field of data and text mining has emerged as a central domain, addressing innovative techniques for analysing and systematically extracting valuable insights, as well as managing large and complex datasets that exceed the capabilities of traditional data processing techniques. The advent of big data has ushered in a transformative era, and its profound impact can be seen across multiple sectors, including social sciences, healthcare, international development, education, and beyond. Furthermore, as we move further into the realm of text mining, we are witnessing remarkable advances in natural language processing (NLP). These advances enable us to unravel the intricate tapestry of human language, opening the door to a wealth of unexplored knowledge and opportunities for discovery. In this Special Issue, we therefore explore this dynamic convergence of data and text mining.
We look forward to your contributions to this Special Issue.
Dr. Ayoub Bagheri
Guest Editor
Manuscript Submission Information
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Keywords
- data mining
- text mining
- big data
- natural language processing (NLP)
- computational social sciences
- knowledge discovery
- statistical learning
- machine learning
- data analysis
- information retrieval
