Build your own chatbot using
Python and open source tools. This book begins with an introduction to chatbots
where you will gain vital information on their architecture. You will then dive
straight into Natural Language Processing with the natural language processing
library (spaCy) for building a custom language processing platform for your
chatbot. With this foundation, you will take a look at different Natural
Language Processing techniques so that you can choose the right one for you.
The next stage is to learn to build a chatbot using the DialogFlow platform and
define its intents and entities. During this example, you will learn to enable
communication with your bot and also take a look at key points of its
integration and deployment. The final chapter of Building Chatbots with Python
teaches you how to build, train, and deploy your very own chatbot. Using open
source libraries and machine learning techniques you will learn to predict
conditions for your bot and develop a conversational agent as a web
application. Finally you will deploy your chatbot on your own server in cloud
using Heroku. //ir
