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This results in ranking papers, from there we select the best 20 papers and extract from them. Considering academic interest in the stock market, this study concludes by suggesting new keywords and possible research questions that should be explored in future. This research endeavours to shed light on the trends and patterns shaping ai’s impact on libraries by conducting a comprehensive bibliometric analysis.
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Abstract bibliometric analysis is a quantitative method for the systematic study of academic publications using statistical techniques to reveal trends, impacts, and interrelationships within. Learn about key metrics, methodologies, and future trends in this comprehensive guide. Findings indicate a significant rise in nlp research, with deep learning models, particularly transformers, driving advancements in the field.
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This study conducts a comprehensive bibliometric analysis and predictive modeling of financial risk research from 2015 to 2024, integrating conceptual, knowledge, and.
In particular, we propose a dataflow of method and a paper ranking algorithm. Using bibliometric analysis, this study was able to identify important patterns, emerging themes, as well as unfilled gaps in the literature, which are highly relevant to.
