Unstructured Data Is the New Gold - ML + NLP Is the New Shiz

Explore the intersection of Machine Learning (ML) and Natural Language Processing (NLP) in cybersecurity at this HITBGSEC 2017 conference talk. Delve into how unstructured data from social media, news articles, and blog posts can be leveraged to gain an edge in threat identification. Learn about the key components of NLP, including syntax, natural language generation, discourse analysis, and speech analysis. Discover the benefits of deep learning in language processing and understand concepts like entity recognition, active learning, and reactive learning. Gain insights from IT security expert Jim Geovedi as he discusses the implementation of NLP in cyber intelligence, covering topics such as keyword relation, word representation, and language transfer. Understand why NLP is crucial in modern cybersecurity and how it complements traditional data analysis methods.

Intro
Artificial Intelligence
NLP
Natural Language Processing
Cyber Intelligence
What is NLP
Syntax
Natural Language Generation
Discourse Analysis
Speech Analysis
Pre Implementation
Keyword Relation
Summary
Why NLP
Word MD
Rosetta Stone
Language Representation
Language Transfer
Simplified Arc
Entity Recognition
Deep Learning Benefits
Python
Annotation
Active Learning
Reactive Learning
Learning Languages