Identifying Persons of Interest in Digital Forensics Using NLP-Based AI
The field of digital forensics relies on expertise from multiple domains, including computer science, criminology, and law. It also relies on different toolsets and an analyst’s expertise to parse enormous amounts of user-generated data to find clues that help crack a case. This process of investiga...
Saved in:
| Main Authors: | Jonathan Adkins, Ali Al Bataineh, Majd Khalaf |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/16/11/426 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The potential of artificial intelligence (AI) to improve electronic word-of-mouth's (eWOM) efficacy
by: Baltezarević Radoslav V., et al.
Published: (2024-01-01) -
From understanding to justifying: Computational reliabilism for AI-based forensic evidence evaluation
by: Juan M. Durán, et al.
Published: (2024-01-01) -
The role of cognitive computing in NLP
by: Laura Orynbay, et al.
Published: (2025-01-01) -
Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
by: Marco Siino, et al.
Published: (2025-01-01) -
Spot the bot: the inverse problems of NLP
by: Vasilii A. Gromov, et al.
Published: (2024-12-01)