Module 1
Natural Language Processing for OSINT & Threat Analysis (W54)
Apply natural language processing to OSINT and threat-analysis work. Use Python to explore how text-processing techniques can turn collected information into useful investigative findings.
Instructor · Saeed Dehghan
- Modules:
- 4
- Lessons:
- 23
eForensics learning
Practical skills.
Verified progress.
What you'll learn
- Prepare raw text data for NLP analysis.
- Use NLP pipelines for OSINT and threat-analysis tasks.
- Explore models for sentiment and hate-speech analysis.
Prerequisites
Before beginning this course, make sure you have a good knowledge of Python and requests. No prior experience with NLP is needed! Equipment and software: Equipment In this course, we work on Kali Linux distribution. It could be installed on a virtual machine or could be live. Though it is not necessary to use Kali Linux. The concepts can be implemented on other systems.
Module 2
Module 1
Assessments
(W54A01) Module 1 assignment
Module 3
Module 2
Assessments
(W54A02) Module 2 assignment
Module 4
Module 3
Assessments
(W54A03) Final assignment
Course access
Unlock Natural Language Processing for OSINT & Threat Analysis (W54).
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