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7 books on Chatbots [PDF]
February 24, 2025 | 25 |
These books describe the principles of natural language processing, conversational design, and user experience, used for creating effective and engaging chatbots.
1. Chatbots - How to know everything
2023 by Max Editorial
Chatbots - How to Know Everything is not merely a book; it’s the galactic hitchhiker’s towel for navigating the baffling, slightly smug and utterly transformative universe of chatbots. Whether you’re a wide-eyed newbie trying to figure out why your toaster is suddenly talking back or a grizzled techie who already suspects the chatbot revolution is just step one in their plan to take over the world, this guide covers everything. From the humble origins of bots that could barely order pizza to the sleek, high-performance digital wizards boosting customer satisfaction, efficiency, and—yes—revenue, this book ensures you’ll always be ahead of the curve. Or at least pretending you are, which is half the battle anyway.
Download PDF
2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
3. AI-Powered Chatbots: Enhancing Customer Service and Sales
2021 by Mayfair Digital Agency
If you’ve ever wondered how a chatbot might save your business while simultaneously befriending your customers, then AI-Powered Chatbots: Enhancing Customer Service and Sales is the sort of book that might just answer questions you didn’t even know you had. Packed with everything from AI-powered revelations to mildly alarming insights about how chatbots can understand, assist and possibly charm your customers better than your best sales team (but without the coffee breaks), this book is a guide to transforming dull interactions into moments of efficient, 24/7 brilliance. It also politely reminds us that even the most dazzling AI shouldn’t completely replace human touch—because, let’s face it, some things still need real empathy, like comforting a distraught customer whose cat just walked across their keyboard mid-order. With real-world examples, actionable strategies and a light dusting of tech wizardry, this book ensures you’ll master the art of blending bots and humans into a customer service dream team—and look really clever doing it.
Download PDF
4. Developing Enterprise Chatbots: Learning Linguistic Structures
2019 by Boris Galitsky
In an increasingly digital universe where chatbots teeter between being glorified auto-responders and self-aware overlords (but mostly the former), Developing Enterprise Chatbots: Learning Linguistic Structures boldly goes where no bot has gone before: into the chaotic yet tantalizing realms of computational linguistics and discourse analysis. Here, author Boris Galitsky, armed with syntactic wizardry, semantic cunning and a disconcertingly deep understanding of ontology-based reasoning, attempts to answer the ultimate question of life, the universe, and... reliable enterprise chatbots. With a tone that suggests both sympathy and mild exasperation at the current chatbot paradigms—one obsessed with universal bot platforms, the other throwing heaps of data into a neural blender—Galitsky introduces a hybrid approach so cunningly structured it might even work. This book doesn't just build bots; it crafts entities that can traverse enterprise-grade conversations with a swagger that’s equal parts machine learning and sheer discourse brilliance and yet somehow still leave room for a tea break.
Download PDF
5. Getting Started with Chatbots: Learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning
2019 by Akhil Mittal
In the beginning, there was confusion—and then came Getting Started with Chatbots, a book that takes you on a delightfully perplexing journey through the uncharted territories of artificial intelligence, where you’ll learn to build machines that sort of know what they’re talking about. This isn’t just any guide; it’s a whimsical romp through the creation of chatty digital assistants, from summoning Amazon’s Lex to wrangle conversations on Facebook Messenger, to coercing Google’s Dialogflow into spouting reasonably coherent replies in a virtual testing ground. Not to be outdone, Microsoft’s bot framework makes an appearance, as you discover how to sprinkle webhooks and fulfillment responses like AI-infused fairy dust. If you’ve ever wondered how to teach a machine to almost seem like it understands you, this book may hold some of the answers—or at least a good laugh along the way.
Download PDF
6. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
In the bewildering, mind-bending universe of deep learning, where every mathematical equation feels like it’s been designed by a particularly mischievous alien race, comes a book that promises to make sense of it all—*Deep Learning for Natural Language Processing*. Armed with nothing but Python (the coding language, not the snake—though that might actually be less confusing), you’ll embark on a quest through the strange lands of Recurrent Neural Networks, Long Short-Term Memory models and other things with names that sound suspiciously like experimental jazz bands. Starting with the mysterious art of word vectors, you’ll work your way up to creating chatbots that may or may not gain sentience and ask existential questions about life, the universe and why TensorFlow sounds like a futuristic plumbing system. And by the end, you might just find yourself at the precipice of understanding—assuming, of course, your brain doesn’t turn into a neural network itself.
Download PDF
7. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2017 by Rashid Khan, Anik Das
In the murky depths of the digital cosmos, where humans routinely attempt to make machines slightly less useless, Build Better Chatbots arrives like a well-timed cup of tea to the programmer’s desk. This guide promises to unravel the art (and occasional chaos) of building chatbots that actually, you know, chat—rather than sulk in a corner of Facebook Messenger, Skype, or KiK, questioning their purpose. With instructions for setting up development environments, tips for wrestling with UX without losing your mind and deep dives into integrating IoT and IFTTT (acronyms that sound like they were concocted by particularly mischievous Vogons), it’s a book that holds your hand while you tango with the future. Sprinkled with code snippets and served with a downloadable cherry on top, it’s perfect for developers, programmers and anyone else brave enough to whisper sweet nothings to their software.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Chatbots - How to know everything
2023 by Max Editorial
Chatbots - How to Know Everything is not merely a book; it’s the galactic hitchhiker’s towel for navigating the baffling, slightly smug and utterly transformative universe of chatbots. Whether you’re a wide-eyed newbie trying to figure out why your toaster is suddenly talking back or a grizzled techie who already suspects the chatbot revolution is just step one in their plan to take over the world, this guide covers everything. From the humble origins of bots that could barely order pizza to the sleek, high-performance digital wizards boosting customer satisfaction, efficiency, and—yes—revenue, this book ensures you’ll always be ahead of the curve. Or at least pretending you are, which is half the battle anyway.
Download PDF
2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
3. AI-Powered Chatbots: Enhancing Customer Service and Sales
2021 by Mayfair Digital Agency
If you’ve ever wondered how a chatbot might save your business while simultaneously befriending your customers, then AI-Powered Chatbots: Enhancing Customer Service and Sales is the sort of book that might just answer questions you didn’t even know you had. Packed with everything from AI-powered revelations to mildly alarming insights about how chatbots can understand, assist and possibly charm your customers better than your best sales team (but without the coffee breaks), this book is a guide to transforming dull interactions into moments of efficient, 24/7 brilliance. It also politely reminds us that even the most dazzling AI shouldn’t completely replace human touch—because, let’s face it, some things still need real empathy, like comforting a distraught customer whose cat just walked across their keyboard mid-order. With real-world examples, actionable strategies and a light dusting of tech wizardry, this book ensures you’ll master the art of blending bots and humans into a customer service dream team—and look really clever doing it.
Download PDF
4. Developing Enterprise Chatbots: Learning Linguistic Structures
2019 by Boris Galitsky
In an increasingly digital universe where chatbots teeter between being glorified auto-responders and self-aware overlords (but mostly the former), Developing Enterprise Chatbots: Learning Linguistic Structures boldly goes where no bot has gone before: into the chaotic yet tantalizing realms of computational linguistics and discourse analysis. Here, author Boris Galitsky, armed with syntactic wizardry, semantic cunning and a disconcertingly deep understanding of ontology-based reasoning, attempts to answer the ultimate question of life, the universe, and... reliable enterprise chatbots. With a tone that suggests both sympathy and mild exasperation at the current chatbot paradigms—one obsessed with universal bot platforms, the other throwing heaps of data into a neural blender—Galitsky introduces a hybrid approach so cunningly structured it might even work. This book doesn't just build bots; it crafts entities that can traverse enterprise-grade conversations with a swagger that’s equal parts machine learning and sheer discourse brilliance and yet somehow still leave room for a tea break.
Download PDF
5. Getting Started with Chatbots: Learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning
2019 by Akhil Mittal
In the beginning, there was confusion—and then came Getting Started with Chatbots, a book that takes you on a delightfully perplexing journey through the uncharted territories of artificial intelligence, where you’ll learn to build machines that sort of know what they’re talking about. This isn’t just any guide; it’s a whimsical romp through the creation of chatty digital assistants, from summoning Amazon’s Lex to wrangle conversations on Facebook Messenger, to coercing Google’s Dialogflow into spouting reasonably coherent replies in a virtual testing ground. Not to be outdone, Microsoft’s bot framework makes an appearance, as you discover how to sprinkle webhooks and fulfillment responses like AI-infused fairy dust. If you’ve ever wondered how to teach a machine to almost seem like it understands you, this book may hold some of the answers—or at least a good laugh along the way.
Download PDF
6. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
In the bewildering, mind-bending universe of deep learning, where every mathematical equation feels like it’s been designed by a particularly mischievous alien race, comes a book that promises to make sense of it all—*Deep Learning for Natural Language Processing*. Armed with nothing but Python (the coding language, not the snake—though that might actually be less confusing), you’ll embark on a quest through the strange lands of Recurrent Neural Networks, Long Short-Term Memory models and other things with names that sound suspiciously like experimental jazz bands. Starting with the mysterious art of word vectors, you’ll work your way up to creating chatbots that may or may not gain sentience and ask existential questions about life, the universe and why TensorFlow sounds like a futuristic plumbing system. And by the end, you might just find yourself at the precipice of understanding—assuming, of course, your brain doesn’t turn into a neural network itself.
Download PDF
7. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2017 by Rashid Khan, Anik Das
In the murky depths of the digital cosmos, where humans routinely attempt to make machines slightly less useless, Build Better Chatbots arrives like a well-timed cup of tea to the programmer’s desk. This guide promises to unravel the art (and occasional chaos) of building chatbots that actually, you know, chat—rather than sulk in a corner of Facebook Messenger, Skype, or KiK, questioning their purpose. With instructions for setting up development environments, tips for wrestling with UX without losing your mind and deep dives into integrating IoT and IFTTT (acronyms that sound like they were concocted by particularly mischievous Vogons), it’s a book that holds your hand while you tango with the future. Sprinkled with code snippets and served with a downloadable cherry on top, it’s perfect for developers, programmers and anyone else brave enough to whisper sweet nothings to their software.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
