Improving fraud detection with semi-supervised topic modeling and keyword integration

Fraud detection through auditors’ manual review of accounting and financial records has traditionally relied on human experience and intuition. However, replicating this task using technological tools has represented a challenge for information security researchers. Natural language processing techn...

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Bibliographic Details
Main Authors: Marco Sánchez, Luis Urquiza
Format: Article
Language:English
Published: PeerJ Inc. 2024-01-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1733.pdf