What is it about?
With the widespread use of machine learning in daily activities, reviewing scholarly articles has changed from mere manual exploration to smart literature review. This research explores Scopus published articles in the financial fraud detection field in a transparent, reliable, and efficient way by combining bibliometric analysis and topic modeling.
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Why is it important?
It emphasizes the importance of modern technology in enhancing research methodologies, potentially influencing future studies in the field. The research demonstrates a practical application of machine learning in academic research, underscoring its growing significance in various domains.
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This page is a summary of: Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach, Journal of Financial Crime, April 2023, Emerald,
DOI: 10.1108/jfc-09-2022-0227.
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