Download or read book Build Better Chatbots written by Rashid Khan and published by Apress. This book was released on 2017-12-13 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Build Chatbot Interactions written by Daniel Pritchett and published by Pragmatic Bookshelf. This book was released on 2019-06-13 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next step in the evolution of user interfaces is here. Chatbots let your users interact with your service in their own natural language. Use free and open source tools along with Ruby to build creative, useful, and unexpected interactions for users. Take advantage of the Lita framework's step-by-step implementation strategy to simplify bot development and testing. From novices to experts, chatbots are an area in which everyone can participate. Exercise your creativity by creating chatbot skills for communicating, information, and fun. Developers of all skill levels can craft user experiences that are natural, easy to use, and most of all, fun. Build chatbots using free, open source tools and launch them to popular chat platforms like Slack and Amazon's Alexa. Use the Ruby programming language and the Lita bot framework to unlock fun and powerful chat abilities such as sending text messages and emails, creating new meme images, driving a robot around the room, and talking out loud on a home speaker. Use frameworks available in Ruby and Node.js to get started quickly. Create simple chatbot skills that respond quickly to basic requests. Chain skills together for more complex interactions. Take advantage of test-driven development techniques to build your bots with confidence. Coordinate tasks with colleagues via bot. Connect with external APIs to provide users with data they need. Extract data information from web pages when an API isn't available. Expand your bot's reach with SMS and e-mail messaging. Deploy a chatbot to a host so users can interact with it on their schedule. Build a more responsive, easy-to-use interface for your users today. What You Need: You don't need much to get started with chatbots. A Mac or Linux computer with a recent version of Ruby is recommended. Windows users can keep up with a free virtual machine running Linux. You'll deploy your chatbots for free (or at least cheaply) on cloud hosting platforms like Heroku and Digital Ocean.

Download or read book Getting Started with Chatbots written by Mittal Akhil and published by BPB Publications. This book was released on 2019-09-20 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to build a better Chatbots Key features Concept of artificial intelligence (AI) and machine learning How AI is involved in creating chatbots What are chatbots Chatbot development Live chatting Create chatbot with technologies such as Amazon Lex, Google Dialogflow, AWS Lambda, Microsoft Bot Framework, and Azure Deploy and talk to your bot Description This book makes you familiar with the concept of the chatbot. It explains what chatbot is, how does a chatbot work, and what exactly is the need for a chatbot in today's era? It focuses on creating a bot using Amazon's Lex service and getting the bot deployed on Facebook messenger for live chatting. This book will train you on how to create a chatbot using Google's Dialogflow and test the bot in Dialogflow console. It also demonstrates how to create a custom chatbot using Microsoft's bot framework and enable the webhooks in Dialogflow and return the response from the custom bot to Dialogflow intents as a fulfilment response. What will you learn Learn the concept of chatbot Learn how chatbots and AI work hand in hand Learn the concept of machine learning in chatbots Get familiar with chatbot services such as Amazon's Lex and Google's Dialogflow Learn how to write an AWS Lambda function Learn what webhooks are Learn about Microsoft's Bot Framework Write your own custom chatbot Deploy the chatbot on Facebook Messenger, Google Assistant, and Slack Live chatting with your own chatbot Who this book is for The developers, architects, and software/technology enthusiasts who are keen to learn the cutting-edge technologies and want to get a hands-on experience on AI by creating their own custom chatbots. Organizations, small companies, service-based/product-based setups which want to learn how to create a basic chatbot on their website and on social media to get more leads and reach to the end user for their business. Students, if they are seeking something where they can create and integrate the real-time chatbots in their projects.Table of contentsSection 1: The Concept1. What are Chatbots?2. How Chatbot Works3. What is the Need for a Chatbot?4. Conversational Flow?Section 2: Creating a Chatbot Using Amazon Lex1. Amazon Lex and AWS Account2. Create Bot Using Amazon Lex3. AWS Lambda Function4. Slots5. Error Handling6. Deploy the Bot on Facebook Messenger7. Live Chatbot on FacebookSection 3: Creating a Chatbot Using Dialogflow API and Microsoft's Bot FrameworkTechnical Requirements1. Dialogflow Account2. Creating a Bot in Dialogflow3. Dialogflow Console4. Integrating the Bot with Slack5. Chatbot Using Microsoft Bot Framework6. Publishing the Bot from Visual Studio to Azure7. Register the Bot8. Dialogflow.v2 SDK9. Webhooks in Dialogflow10. Testing the Bot11. Deploy the Chatbot in Facebook Messenger12. Live Chatbot on Facebook13. Deploy the Chatbot in Slack14. Future of ChatbotsAbout the authorAkhil Mittal is two times Microsoft MVP (Most Valuable Professional) firstly awarded in 2016 continued in 2017 in Visual Studio and Technologies category, C# Corner MVP since 2013, Code Project MVP since 2014, a blogger, author and likes to write/read technical articles, blogs and books. He works as a Sr. Consultant with Magic Edtech (https://www.magicedtech.com/) which is recognized as a global leader in delivering end to end learning solutions. He has an experience of around 12 years in developing, designing, architecting enterprises level applications primarily in Microsoft Technologies. He has a diverse experience in working on cutting edge technologies that include Microsoft Stack, AI, Machine Learning and Cloud computing. Akhil is an MCP (Microsoft Certified Professional) in Web Applications and Dot Net Framework.His linkedin: linkedin.com/in/akhilmittal

Download or read book Getting Started with Chatbots written by Akhil Mittal and published by BPB Publications. This book was released on 2019-09-20 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to build a better Chatbots DESCRIPTION This book makes you familiar with the concept of the chatbot. It explains what chatbot is, how does a chatbot work, and what exactly is the need for a chatbot in todayÕs era? It focuses on creating a bot using AmazonÕs Lex service and getting the bot deployed on Facebook messenger for live chatting. This book will train you on how to create a chatbot using GoogleÕs Dialogflow and test the bot in Dialogflow console. It also demonstrates how to create a custom chatbot using MicrosoftÕs bot framework and enable the webhooks in Dialogflow and return the response from the custom bot to Dialogflow intents as a fulfilment response. KEY FEATURES Concept of artificial intelligence (AI) and machine learning How AI is involved in creating chatbots What are chatbots Chatbot development Live chatting Create chatbot with technologies such as Amazon Lex, Google Dialogflow, AWS Lambda, Microsoft Bot Framework, and Azure Deploy and talk to your bot WHAT WILL YOU LEARN Learn the concept of chatbot Learn how chatbots and AI work hand in hand Learn the concept of machine learning in chatbots Get familiar with chatbot services such as AmazonÕs Lex and GoogleÕs Dialogflow Learn how to write an AWS Lambda function Learn what webhooks are Learn about MicrosoftÕs Bot Framework Write your own custom chatbot Deploy the chatbot on Facebook Messenger, Google Assistant, and Slack Live chatting with your own chatbot WHO THIS BOOK IS FOR The developers, architects, and software/technology enthusiasts who are keen to learn the cutting-edge technologies and want to get a hands-on experience on AI by creating their own custom chatbots. Organizations, small companies, service-based/product-based setups which want to learn how to create a basic chatbot on their website and on social media to get more leads and reach to the end user for their business. Students, if they are seeking something where they can create and integrate the real-time chatbots in their projects. Table of Contents Section 1: The Concept 1. What are Chatbots? 2. How Chatbot Works 3. What is the Need for a Chatbot? 4. Conversational Flow? Ê Section 2: Creating a Chatbot Using Amazon Lex 1. Amazon Lex and AWS Account 2. Create Bot Using Amazon Lex 3. AWS Lambda Function 4. Slots 5. Error Handling 6. Deploy the Bot on Facebook Messenger 7. Live Chatbot on Facebook Ê Section 3: Creating a Chatbot Using Dialogflow API and MicrosoftÕs Bot Framework Technical Requirements 1. Dialogflow Account 2. Creating a Bot in Dialogflow 3. Dialogflow Console 4. Integrating the Bot with Slack 5. Chatbot Using Microsoft Bot Framework 6. Publishing the Bot from Visual Studio to Azure 7. Register the Bot 8. Dialogflow.v2 SDK 9. Webhooks in Dialogflow 10. Ê Testing the Bot 11. Ê Deploy the Chatbot in Facebook Messenger 12. Ê Live Chatbot on Facebook 13. Ê Deploy the Chatbot in Slack

Download or read book Building Chatbots with Python written by Sumit Raj and published by Apress. This book was released on 2018-12-12 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Hands On Chatbots and Conversational UI Development written by Srini Janarthanam and published by Packt Publishing Ltd. This book was released on 2017-12-29 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Definitive Guide to Conversational AI with Dialogflow and Google Cloud written by Lee Boonstra and published by Apress. This book was released on 2021-06-25 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Programming the Microsoft Bot Framework written by Joe Mayo and published by Microsoft Press. This book was released on 2017-11-21 with total page 974 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the only comprehensive, authoritative guide to building Conversational User Interfaces (CUI, a.k.a. bots, chatbots, or chatterbots) with the Microsoft Bot Framework. Reflecting the next radical revolution in human-computer interaction, it will help you leverage advanced artificial intelligence (AI) and natural language processing to empower new and existing applications with stunningly intuitive conversational interfaces. Long-time Microsoft MVP Joe Mayo begins with high-level explanations of what Microsoft Bot Framework is, what you can do with it, and why it matters so much. Next, he presents the foundational knowledge you need to start creating real bots and CUIs. Step by step, you'll learn how to build message dialogs, manage conversations, interact with framework APIs, and incorporate powerful natural language processing with Microsoft's advanced Language Understanding Intelligent Service (LUIS). Mayo also offers detailed guidance on deploying your customized bots to key platforms such as Slack, Skype, and Facebook Messenger. Throughout, Mayo's practical examples combine code with clear explanations of when and why you would perform each task. From start to finish, Programming the Microsoft Bot Framework is relentlessly practical, helping you translate the advanced "magic" of intelligent bots into real solutions right now.

Download or read book Conversational AI written by Andrew Freed and published by Simon and Schuster. This book was released on 2021-10-12 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services. In Conversational AI, you will learn how to: Pick the right AI assistant type and channel for your needs Write dialog with intentional tone and specificity Train your AI’s classifier from the ground up Create question-and-direct-response AI assistants Design and optimize a process flow for web and voice Test your assistant’s accuracy and plan out improvements Conversational AI: Chatbots that work teaches you to create the kind of AI-enabled assistants that are revolutionizing the customer service industry. You’ll learn to build effective conversational AI that can automate common inquiries and easily address your customers' most common problems. This engaging and entertaining book delivers the essential technical and creative skills for designing successful AI solutions, from coding process flows and training machine learning, to improving your written dialog. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Create AI-driven chatbots and other intelligent agents that humans actually enjoy talking to! Adding intelligence to automated response systems saves time and money for you and your customers. Conversational AI systems excel at routine tasks such as answering common questions, classifying issues, and routing customers to the appropriate human staff. This book will show you how to build effective, production-ready AI assistants. About the book Conversational AI is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems. In it, you’ll learn how to find training data, assess performance, and write dialog that sounds human. You’ll go from building simple chatbots to designing the voice assistant for a complete call center. What's inside Pick the right AI for your needs Train your AI classifier Create question-and-direct-response assistants Design and optimize a process flow About the reader For software developers. Examples use Watson Assistant and Python. About the author Andrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He has worked in AI solutions since 2012. Table of Contents PART 1 FOUNDATIONS 1 Introduction to conversational AI 2 Building your first conversational AI PART 2 DESIGNING FOR SUCCESS 3 Designing effective processes 4 Designing effective dialogue 5 Building a successful AI assistant PART 3 TRAINING AND TESTING 6 Training your assistant 7 How accurate is your assistant? 8 Testing your dialogue flows PART 4 MAINTENANCE 9 Deployment and management 10 Improving your assistant PART 5 ADVANCED/OPTIONAL TOPICS 11 Building your own classifier 12 Additional training for voice assistants

Download or read book Designing Bots written by Amir Shevat and published by "O'Reilly Media, Inc.". This book was released on 2017-05-17 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Facebook Messenger to Kik, and from Slack bots to Google Assistant, Amazon Alexa, and email bots, the new conversational apps are revolutionizing the way we interact with software. This practical guide shows you how to design and build great conversational experiences and delightful bots that help people be more productive, whether it’s for a new consumer service or an enterprise efficiency product. Ideal for designers, product managers, and entrepreneurs, this book explores what works and what doesn’t in real-world bot examples, and provides practical design patterns for your bot-building toolbox. You’ll learn how to use an effective onboarding process, outline different flows, define a bot personality, and choose the right balance of rich control and text. Explore different bot use-cases and design best practices Understand bot anatomy—such as brand and personality, conversations, advanced UI controls—and their associated design patterns Learn steps for building a Facebook Messenger consumer bot and a Slack business bot Explore the lessons learned and shared experiences of designers and entrepreneurs who have built bots Design and prototype your first bot, and experiment with user feedback

Download or read book Conversational Marketing written by David Cancel and published by John Wiley & Sons. This book was released on 2019-01-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time conversations turn leads into customers Conversational Marketing is the definitive guide to generating better leads and closing more sales. Traditional sales and marketing methods have failed to keep pace with the way modern, internet-savvy consumers purchase goods and services. Modern messaging apps, which allow for real-time conversations and instant feedback, have transformed the way we interact in our personal and professional lives, yet most businesses still rely on 20th century technology to communicate with 21st century customers. Online forms, email inquiries, and follow-up sales calls don’t provide the immediacy that modern consumers expect. Conversational marketing and sales are part of a new methodology centered around real-time, one-on-one conversations with customers via chatbots and messaging. By allowing your business to communicate with customers in real time—when it’s most convenient for them—conversational marketing improves the customer experience, generates more leads, and helps you convert more leads into customers. Conversational Marketing pioneers David Cancel and Dave Gerhardt explain how to: Merge inbound and outbound tactics into a more productive dialog with customers Integrate conversational marketing techniques into your existing sales and marketing workflow Face-to-face meetings, phone calls, and email exchanges remain important to customer relations, but adding a layer of immediate, individual conversation drives the customer experience—and sales—sky-high.

Download or read book Building Chatbots with Microsoft Bot Framework and Node Js written by G. Akshay Kulkarni and published by Manning Publications. This book was released on 2018-11-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: With so many flesh-and-blood humans needing support, digital assistants can offer a valuable service finding out what users need and improving the basic process of online data gathering. Building Chatbots with Microsoft Bot Framework and Node.js walks readers concept-by-concept through the process of building their own capable chatbot. With this in-depth, practical book readers learn the basics of chatbot design, development, and deployment by building a virtual health assistant. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Download or read book Developing Enterprise Chatbots written by Boris Galitsky and published by Springer. This book was released on 2019-04-04 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Designing Voice User Interfaces written by Cathy Pearl and published by "O'Reilly Media, Inc.". This book was released on 2016-12-19 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Voice user interfaces (VUIs) are becoming all the rage today. But how do you build one that people can actually converse with? Whether you’re designing a mobile app, a toy, or a device such as a home assistant, this practical book guides you through basic VUI design principles, helps you choose the right speech recognition engine, and shows you how to measure your VUI’s performance and improve upon it. Author Cathy Pearl also takes product managers, UX designers, and VUI designers into advanced design topics that will help make your VUI not just functional, but great.Understand key VUI design concepts, including command-and-control and conversational systemsDecide if you should use an avatar or other visual representation with your VUIExplore speech recognition technology and its impact on your designTake your VUI above and beyond the basic exchange of informationLearn practical ways to test your VUI application with usersMonitor your app and learn how to quickly improve performanceGet real-world examples of VUIs for home assistants, smartwatches, and car systems

Download or read book Conversational AI with Rasa written by Xiaoquan Kong and published by Packt Publishing Ltd. This book was released on 2021-10-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using Rasa Key FeaturesUnderstand the architecture and put the underlying principles of the Rasa framework to practiceLearn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbotsExplore best practices for working with Rasa and its debugging and optimizing aspectsBook Description The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source. Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system. By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle. What you will learnUse the response selector to handle chitchat and FAQsCreate custom actions using the Rasa SDKTrain Rasa to handle complex named entity recognitionBecome skilled at building custom components in the Rasa frameworkValidate and test dialogs end to end in RasaDevelop and refine a chatbot system by using conversation-driven deployment processingUse TensorBoard for tuning to find the best configuration optionsDebug and optimize dialogue systems based on RasaWho this book is for This book is for NLP professionals as well as machine learning and deep learning practitioners who have knowledge of natural language processing and want to build chatbots with Rasa. Anyone with beginner-level knowledge of NLP and deep learning will be able to get the most out of the book.

Download or read book Head First Python written by Paul Barry and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Getting Started with Natural Language Processing written by Ekaterina Kochmar and published by Simon and Schuster. This book was released on 2022-11-15 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you’ll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning! What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the reader You’ll need basic Python skills. No experience with NLP required. About the author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. Table of Contents 1 Introduction 2 Your first NLP example 3 Introduction to information search 4 Information extraction 5 Author profiling as a machine-learning task 6 Linguistic feature engineering for author profiling 7 Your first sentiment analyzer using sentiment lexicons 8 Sentiment analysis with a data-driven approach 9 Topic analysis 10 Topic modeling 11 Named-entity recognition