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Building Smart Chatbots

Building Smart Chatbots
Author: Marco Gottschalk
Publisher: Independently Published
Total Pages: 0
Release: 2024-08-15
Genre: Computers
ISBN:
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In today's fast-paced digital world, businesses and developers are turning to smart chatbots to revolutionize customer service, automate tasks, and enhance user experiences. Building Smart Chatbots is your ultimate guide to mastering the art and science of chatbot development. Whether you're a seasoned developer or just starting out, this comprehensive book takes you step-by-step through the process of creating intelligent, AI-powered chatbots that can understand and engage users naturally. Inside this book, you'll discover: Foundations of Natural Language Processing (NLP): Understand the basics of NLP and how it powers the most successful chatbots today. Advanced AI Techniques: Learn how to implement machine learning algorithms and deep learning models to create chatbots that continuously improve their performance. Integration with Popular Platforms: Explore how to integrate your chatbot with platforms like Facebook Messenger, Slack, and more, reaching millions of users effortlessly. Real-World Use Cases: Dive into case studies and practical examples that show how smart chatbots are transforming industries like retail, healthcare, and customer service. Best Practices for Deployment: Gain insights into deploying your chatbot in a production environment, ensuring reliability, scalability, and security. Building Smart Chatbots is more than just a technical manual-it's your gateway to creating sophisticated conversational agents that can think, learn, and interact with users like never before. Packed with code examples, expert tips, and actionable advice, this book is a must-have resource for anyone looking to stay ahead in the rapidly evolving field of AI and chatbot technology.

Building an Enterprise Chatbot

Building an Enterprise Chatbot
Author: Abhishek Singh
Publisher: Apress
Total Pages: 399
Release: 2019-09-13
Genre: Computers
ISBN: 1484250346
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Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

Build Better Chatbots

Build Better Chatbots
Author: Rashid Khan
Publisher: Apress
Total Pages: 113
Release: 2017-12-13
Genre: Computers
ISBN: 1484231112
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Learn best practices for building bots by focusing on the technological implementation and UX in this practical book. You will cover key topics such as setting up a development environment for creating chatbots for multiple channels (Facebook Messenger, Skype, and KiK); building a chatbot (design to implementation); integrating to IFTT (If This Then That) and IoT (Internet of Things); carrying out analytics and metrics for chatbots; and most importantly monetizing models and business sense for chatbots. Build Better Chatbots is easy to follow with code snippets provided in the book and complete code open sourced and available to download. With Facebook opening up its Messenger platform for developers, followed by Microsoft opening up Skype for development, a new channel has emerged for brands to acquire, engage, and service customers on chat with chatbots. What You Will Learn Work with the bot development life cycle Master bot UX design Integrate into the bot ecosystem Maximize the business and monetization potential for bots Who This Book Is For Developers, programmers, and hobbyists who have basic programming knowledge. The book can be used by existing chatbot developers to gain a better understanding of analytics and the business side of bots.

Building Intelligent Chatbots

Building Intelligent Chatbots
Author: Kerry E Jones
Publisher: Independently Published
Total Pages: 0
Release: 2024-04-08
Genre: Computers
ISBN:
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In today's digital age, chatbots have become an integral part of delivering exceptional user experiences. This comprehensive guide will provide you with a solid foundation to design, develop, and deploy intelligent chatbots that can transform customer interactions and streamline business operations. From understanding the fundamentals of conversational AI and natural language processing (NLP) to mastering advanced techniques like intent recognition and context management, this book covers all the essential aspects of building chatbots that truly understand and engage users. You'll learn how to: Implement robust natural language understanding (NLU) models to accurately interpret user input Design intuitive conversational flows and dialogue structures Integrate with external APIs and services to enrich chatbot capabilities Leverage machine learning techniques for continuous improvement Ensure privacy, transparency, and ethical use of chatbot technology With practical examples, step-by-step instructions, and real-world case studies, this book empowers you to create chatbots that can handle complex queries, provide personalized responses, and adapt to user preferences seamlessly. Whether you're a developer, designer, or business professional, this book is your guide to navigating the exciting world of conversational AI. Discover best practices, industry insights, and future trends that will help you stay ahead of the curve in chatbot development.

Building Chatbots with Python

Building Chatbots with Python
Author: Sumit Raj
Publisher:
Total Pages: 205
Release: 2019
Genre: Intelligent agents (Computer software)
ISBN: 9781484240977
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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. You will: 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.

Hands-On Chatbots and Conversational UI Development

Hands-On Chatbots and Conversational UI Development
Author: Srini Janarthanam
Publisher: Packt Publishing Ltd
Total Pages: 383
Release: 2017-12-29
Genre: Computers
ISBN: 1788298330
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Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenger, Amazon Alexa and Google Home About This Book Understand the different use cases of Conversational UIs with this project-based guide Build feature-rich Chatbots and deploy them on multiple platforms Get real-world examples of voice-enabled UIs for personal and home assistance Who This Book Is For This book is for developers who are interested in creating interactive conversational UIs/Chatbots. A basic understanding of JavaScript and web APIs is required. What You Will Learn Design the flow of conversation between the user and the chatbot Create Task model chatbots for implementing tasks such as ordering food Get new toolkits and services in the chatbot ecosystem Integrate third-party information APIs to build interesting chatbots Find out how to deploy chatbots on messaging platforms Build a chatbot using MS Bot Framework See how to tweet, listen to tweets, and respond using a chatbot on Twitter Publish chatbots on Google Assistant and Amazon Alexa In Detail Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home. By the end of the book, you will have created your own line of chatbots and voice UIs for multiple leading platforms. Style and approach This is a practical book, where each chapter focuses on a chatbot project. The chapters take a step-by-step approach to help you build intelligent chatbots that act as personal assistants.

Chatbots

Chatbots
Author: Michael Yuan
Publisher: Addison-Wesley Professional
Total Pages: 320
Release: 2017-02-03
Genre: Computers
ISBN: 9780134650616
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Facebook, Amazon, Microsoft, and Slack are all investing heavily in intelligent bots, providing tools and platforms for building apps that serve users via natural conversation. Now, there's a practical guide to chatbot programming on these exciting new platforms: all the knowledge you need to start creating real solutions, and get ahead of the curve as the tools evolve and mature. Software development expert and entrepreneur Michael Yuan begins by introducing the powerful business case for chatbots and "Conversation as a Platform (CaaP)" Next, he introduces several pivotal technologies, including Facebook's Messenger; Slack's Hubot bot platform and its PHP-and-Java backend; Amazon's Alexa; and Microsoft's eagerly-anticipated Skype / Cortana bot platform. You'll learn how each of these platforms works, and how to use current tools to begin creating your own chatbot applications. Yuan covers key issues ranging from social media integration to scripted conversations, natural language enhancement, AI-based conversation, and conversation design -- even the use of humor and human scriptwriters. He also introduces a powerful framework for abstracting away native "glue code," so it's easier to move among platforms or write code for several of them at once.

Head First Python

Head First Python
Author: Paul Barry
Publisher: "O'Reilly Media, Inc."
Total Pages: 624
Release: 2016-11-21
Genre: Computers
ISBN: 1491919493
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Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals, working with the built-in data structures and functions. Then you’ll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you’re intrigued by what you can do with context managers, decorators, comprehensions, and generators, it’s all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Pythonuses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud
Author: Lee Boonstra
Publisher: Apress
Total Pages: 405
Release: 2021-06-25
Genre: Computers
ISBN: 9781484270134
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Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase. ​​What You Will Learn Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases Use Dialogflow for an out-of-the-box agent review Deploy text conversational UIs for web and social media channels Build voice agents for voice assistants, phone gateways, and contact centers Create multilingual chatbots Orchestrate many sub-chatbots to build a bigger conversational platform Use chatbot analytics and test the quality of your Dialogflow agent See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what’s different in Dialogflow CX Who This Book Is For Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google’s conversational AI/cloud technology.

Developing Enterprise Chatbots

Developing Enterprise Chatbots
Author: Boris Galitsky
Publisher: Springer
Total Pages: 559
Release: 2019-04-04
Genre: Computers
ISBN: 3030042995
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A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees