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Natural Language Processing with Python Quick Start Guide

You're reading from   Natural Language Processing with Python Quick Start Guide Going from a Python developer to an effective Natural Language Processing Engineer

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789130386
Length 182 pages
Edition 1st Edition
Languages
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Author (1):
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Nirant Kasliwal Nirant Kasliwal
Author Profile Icon Nirant Kasliwal
Nirant Kasliwal
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Summary

In this chapter on chatbots, we learned about intent, which usually refers to the user input, response, which is via the bot, templates, which defines the nature of bot responses, and entities, such as cuisine type, in our example.

Additionally, to understand the user intent—and even find entities—we used unsupervised approaches , that is, we did not have training examples this time. In practice, most commercial systems use a hybrid system, combining supervised and unsupervised systems.

The one thing you should take away from here is that we don't need a lot of training data to make the first usable version of a bot for a specific use case.

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