Original price was: $55.59.$12.99Current price is: $12.99.
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Original price was: $55.59.$12.99Current price is: $12.99.
Length
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Language
File size
Publisher
ISBN
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 Toolkit (NLTK) 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 API.ai 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 with AWS.
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.
Sumit Raj, is a techie at heart, who loves coding and building applications. He is a Python expert with a keen interest in Machine Learning and Natural Language Processing. He believes in the idea of writing code which directly impacts revenue of the company.Sumit has worked in multiple domains like Personal Finance Management, Real-Estate, E-commerce, Revenue Analytics to build multiple scalable applications. He has helped various early age startups with their initial design & architecture of the product which got funded later by investors and governments.
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