Large Language Models for Author Profiling in Digital Forensics


 This study delves into the use of large language models for author profiling in digital text forensics. By analyzing linguistic patterns and textual features, it explores their potential to identify authorship, detect anomalies, and support forensic investigations in the digital realm.

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