Paper Details

Name: Jyoti Chodhary, Jashan
Country: India

Year: 2024
Volume: Volume-11, Issue-1, Special (January-June)
Page Number: 54-58

We are looking for fresh research concepts that will help research institutes and policymakers. Many solutions have been put forth to deal with this, but the problem still exists. There is a lack of alignment between the concept of these new research subjects and practical ways for measuring them. Using many machine learning methods and a definition from Wang (2018), we identify and predict these innovative research ideas in this work. We tested our approach on a gene editing dataset and found three new areas to explore further. This indicates that these new research areas can be located and that our strategy is successful. The identification of emergent research themes is crucial for managing innovation, policy creation, and research endeavor direction. Conventional techniques for identifying these subjects frequently depend on laborious and subjective manual reviews and expert judgment. In this study, we offer a novel method to automatically identify and forecast future research topics by utilizing many machine learning models. We offer a thorough approach that includes preprocessing the data, extracting topics, calculating indicators, and predictive modeling. By identifying three new research fields, we show the efficacy of our approach using a gene editing dataset as a case study. Our results demonstrate how machine learning can be used to discover hot subjects for research and the consequences this has for different stakeholders. Keywords:-:scientific articles, organizations, support research, policymakers, understanding new technologies, Emerging Research Areas and their Coverage, machine learning models, topic identification, research trends, gene editing.