IDENTIFYING RESEARCH TRENDS USING TEXT MINING TECHNIQUES: A SYSTEMATIC REVIEW

Authors

  • S. B. Vinay The Velammal International School, Panchetti, Tamil Nadu, India. Author

Keywords:

Data Analytics, Text Mining, Data Mining, Research Trends, Data Analysis, Data Visualization, Research Prioritization, Interdisciplinary Research, Artificial Intelligence

Abstract

This systematic review examines the use of text mining techniques to identify research trends in various fields. The study reviews previous research on text mining techniques and their applications in identifying research trends. The research design and approach include data sources and collection methods, text mining tools and techniques, and data analysis and visualization methods. The study analyzed a dataset of publications across different fields and identified key research topics and patterns in the research landscape. The study also compared its findings with previous studies in the field. The results demonstrate the potential of text mining techniques in informing research priorities and funding decisions.

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Published

2024-01-30

How to Cite

IDENTIFYING RESEARCH TRENDS USING TEXT MINING TECHNIQUES: A SYSTEMATIC REVIEW. (2024). INTERNATIONAL JOURNAL OF DATA MINING AND KNOWLEDGE DISCOVERY (IJDMKD), 1(1), 1-11. https://mylib.in/index.php/IJDMKD/article/view/IJDMKD_01_01_001