id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-8230	Chibaya, Onil ; Obagbuwa, Ibidun Christiana 	Machine learning and sentiment analysis for predicting insider threats on email	2025	11	.pdf	application/pdf	5430	284	37	However, there is a significant gap in the literature regarding the combined application of sentiment analysis and anomaly detection for insider threat detection within the context 1719 Edelweiss Applied Science and Technology ISSN: 2576-8484 Vol. 9, No. 6: 1718-1728, 2025 DOI: 10.55214/25768484.v9i6.8230 © 2025 by the authors; licensee Learning Gate of email communications. The core hypothesis of this research is that combining sentiment analysis with anomaly detection models can significantly enhance the precision of insider threat detection compared to traditional approaches that rely solely on technical anomalies.	cache/easat-8230.pdf	txt/easat-8230.txt