Natural Language Processing of Army Insider Threat Hub Data

This paper presents a case prioritization system that utilizes a deep learning classification model trained on expert evaluated insider threat cases to label cases as “negligible”, “low”, “medium”, or “high” threat level. This classification model enables a partnership between machine and human that focuses human effort for the greatest impact.

Cadet Saleem Ali (Draper Fellowship, NSF Fellowship),
COL Lindquist, MAJ Deverill, Dr. Roginski


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