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Python Natural Language Processing Cookbook

You're reading from   Python Natural Language Processing Cookbook Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838987312
Length 284 pages
Edition 1st Edition
Languages
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Author (1):
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Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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Toc

Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Learning NLP Basics 2. Chapter 2: Playing with Grammar FREE CHAPTER 3. Chapter 3: Representing Text – Capturing Semantics 4. Chapter 4: Classifying Texts 5. Chapter 5: Getting Started with Information Extraction 6. Chapter 6: Topic Modeling 7. Chapter 7: Building Chatbots 8. Chapter 8: Visualizing Text Data 9. Other Books You May Enjoy

Chapter 7: Building Chatbots

In this chapter, we will build chatbots using two different frameworks, the nltk.chat package and the Rasa framework. The first recipe talks about the nltk.chat package, where we build a simple keyword matching chatbot, and the rest of the chapter is devoted to Rasa. Rasa is a complex framework that allows the creation of very sophisticated chatbots, and we will have a basic introduction to it. We will build a default bot using Rasa, and then we will modify it to do simple interactions.

Here is the list of this chapter's recipes:

  • Building a basic chatbot with keyword matching
  • Building a basic Rasa chatbot
  • Creating question-answer pairs with Rasa
  • Creating and visualizing conversation paths with Rasa
  • Creating actions for the Rasa chatbot
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