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The video explains how Question Generation using Natural Language Processing (NLP) works, what is its algorithm and how it might be used for education, human-machine interaction or security software development. Learn more about NLP and Deep Learning at mobidev.biz/blog/natural-language-processing-nlp-use-cases-business

How Question Generation using Natural Language Processing (NLP) works

Let’s take a look at the secure authentication process when the user provides us with brief personal information. For example, just tell the name of a favorite football team.

Next, the data mining algorithm collects information about this team from different sources, like web articles, a chapter in the textbook, PDF or even voice over.

Then, trained neural network handles context and extracts important information. And automatically generates questions to ask. For example, who's the head coach of your favorite football team?

This process allows not to annoy users with long questionnaires and not to store predefined questions that are easy to hack.

How to extract important information?
An article is tagged by named entity recognition. By using filters it’s possible to generate types for named entities, like Person, Nationality, Geographic, Organisation, Date, Product, etc. After information processing, the system generates questions.

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