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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 chatbot with keyword matching

In this recipe, we will build a very basic chatbot that uses keywords to match inquiries and responses. This is based on the NLTK Chat class.

Getting ready

We will start by creating a new chat class and initializing it with pairs of responses. Then, we will run it on the command line. If you haven't already, you will need to install the nltk package:

pip install nltk

How to do it…

We will use the NLTK chat framework to create a simple chatbot. First, we will create the question-answer pairs and then create the Chat object. We will then use it to converse with the bot:

  1. Do the necessary imports:
    from nltk.chat.util import Chat, reflections
  2. Initialize the conversation pairs:
    pairs = [[r".*hi|hello|hey|what's up.*", 
             ["Hello, I am a simple chatbot. How are you?"]],
             [r&apos...
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