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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

Creating and visualizing conversation paths with Rasa

We will now upgrade our bot to create conversation paths that start and end with greetings and will answer the user's questions about the business' hours and address.

Getting ready

In this recipe, we continue using the chatbot we created in the Building a basic Rasa chatbot recipe. Please see that recipe for installation information.

How to do it…

We will add new intents and new replies and create a conversation path that can be visualized. The steps are as follows:

  1. We start by editing the domain.yml file. We will first add two intents, address and thanks. The intents section should now look like this:
    intents:
      - greet
      - goodbye
      - affirm
      - deny
      - mood_great
      - mood_unhappy
      - bot_challenge
      - hours
      - address
      - thanks
  2. Now we will add three new chatbot utterances to the responses...
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