Sumit Raj - Building Chatbots with Python: Using Natural Language Processing and Machine Learning
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- Book:Building Chatbots with Python: Using Natural Language Processing and Machine Learning
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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: author's other books
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Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-4095-3 . For more detailed information, please visit http://www.apress.com/source-code .
I want to dedicate this book and all the hard work to achieve this feat to my elder brother, Nikhil Raj, whom I lost this year. I cant seem to imagine how proud he would have been seeing his brothers book being published today.
I would like to thank my parents Dinanath Prasad and Shobha Gupta, my brother and sister, relatives, and all my dearest friends who always supported & encouraged me and pardoned my absence at times during the write-up of this book.
This book has been written with immense care to keep the teachings from this book very pragmatic and results-oriented. Building chatbots is not just about completing a tutorial or following a few stepsits a skill in itself. This book will certainly not bore you with lots of text and process to be read; rather, it takes the learning-by-doing approach. You must have used at least one chatbot to do something in your life by now. Whether you are a programmer or not, once you go through this book you will find the building blocks of chatbots, and all the mysteries will be uncovered. Building chatbots may seem difficult from the outside, but this book makes it so easy for you. Our brain is not designed to directly process the complex concepts; rather, we learn step-by-step. When you are reading this book, from the first chapter through the last chapter, you will find how clearly things are progressing. Although you can directly go to any chapter, I highly recommend you start from the first chapter, as it is bound to bolster your thoughts.
This book is like a web series where you wont be able to resist the next chapter after completing one. Any chatbot that you interact with after going through this book will create a picture in your mind on how that chatbot is designed and built internally.
Python web developers looking to expand their knowledge or career into chatbots development
Students and aspiring programmers wanting to acquire a new skill set by hands-on experience to showcase something and stand out in the crowd
Natural Language enthusiasts looking to learn how to build a chatbot from scratch
Budding entrepreneurs with a great idea but not enough technical feasibility information on how to go about making a chatbot
Product/Engineering managers planning for a chatbot-related project
This book covers almost everything that you need to build a chatbot, rather than what exists.
This book is about spending more time in doing things on your system, with this book by your side. Make sure you execute each code snippet and try to write the code; do not copy and paste.
Make sure you follow the steps as they appear in the book; dont worry if you dont understand something. You will get to know about that later in the chapter.
Use the source code and Jupyter Notebook provided with this book for your reference.
Chapter: The Beloved Chatbots In this chapter you will get to know about things related to chatbots from both a business and developers perspective. This chapter sets the tone for getting our hands dirty with chatbots concepts and converting them into code. Hopefully, you will have a reason why you should definitely build a chatbot for yourself or your company by the end of this chapter.
Chapter: Natural Language Processing for Chatbots In this chapter you will learn about what tools and methods to use when NLP is needed for chatbots. This chapter not only teaches you about the method in NLP but also takes real-life examples and demonstrates with coding examples. This chapter also discusses why a particular NLP method may be needed in chatbots. Note that NLP in itself is a skill to have.
Chapter: Building Chatbots the Easy Way In this chapter you will learn about building a chatbot in a nice and easy manner using tools like Dialogflow. If you are a non-programmer, you will surely like it, as it requires little or no programming skills.
Chapter: Building Chatbots the Hard Way In this chapter, you will learn about building chatbots in a manner that people want to build. The title says the hard way, but once you have completed the previous chapter, you will be wanting more, as this chapter will teach how to build chatbots in-house from scratch and how to train chatbots using machine learning algorithms.
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