Description
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.
What You Will Learn
- Gain the basics of Natural Language Processing using Python
- Collect data and train your data for the chatbot
- Build your chatbot from scratch as a web app
- Integrate your chatbots with Facebook, Slack, and Telegram
- Deploy chatbots on your own server
Who This Book Is For
Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.
If you’re a programmer, non-programmer or an entrepreneur, this book is guaranteed to help you build in-house chatbots end-to-end.
If you’re a programmer, non-programmer or an entrepreneur, this book is guaranteed to help you build in-house chatbots end-to-end.
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.
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