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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 actions for the Rasa chatbot

In this recipe, we will add a custom action and greet the user by name.

Getting ready

In order to create custom actions, we will need to install the rasa_core_sdk package:

pip install rasa_core_sdk

How to do it…

We will first edit the configuration files, adding necessary information. Then, we will edit the actions.py file, which programs the necessary actions. We will then start the actions server and test the chatbot:

  1. First, in the domain.yml file, add a special intent called inform that may contain entities. The section will now look like this:
    intents:
      - greet
      - goodbye
      - affirm
      - deny
      - mood_great
      - mood_unhappy
      - bot_challenge
      - hours
      - address
      - thanks
      - inform
  2. In the same file, add a new section called entities where name is the entity:
    entities:
      - name
  3. Add a...
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