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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

Building a basic Rasa chatbot

In this recipe, we will use a popular chatbot framework, Rasa, to build a default chatbot. In the coming recipes, we will make the chatbot better.

Rasa is an open source deep learning framework for building chatbots. It uses Keras and Tensorflow to implement the model. You can read more about the implementation here: https://blog.tensorflow.org/2020/12/how-rasa-open-source-gained-layers-of-flexibility-with-tensorflow-2x.html.

Getting ready

We will initialize the Rasa framework and use it to build and initialize a default Rasa chatbot and then we will explore its structure. If you haven't already, install the rasa package:

pip install rasa

How to do it…

After installing the rasa package, there are new commands available through the Rasa interface. We will use them to create a default chatbot. The steps for this recipe are as follows:

  1. On the command line, enter this:
    rasa init

    Rasa will start and will produce some colorful...

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