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      Building Chatbots with Python: Using Natural Language Processing and Machine Learning

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      SKU 9781484240953 Categories ,
      Select Guide Rating
      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 b...

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      Description

      Product ID:9781484240953
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Building Chatbots with Python
      Subtitle:Using Natural Language Processing and Machine Learning
      Authors:Author: Sumit Raj
      Page Count:192
      Subjects:Programming and scripting languages: general, Programming & scripting languages: general, Machine learning, Machine learning
      Description:Select Guide Rating
      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 learnto 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 LearnGain the basics of natural language processing using Python Collect data and train your data for the chatbotBuild your chatbot from scratch as a web appIntegrate your chatbots with Facebook, Slack, and TelegramDeploy chatbots on your own serverWho This Book Is ForIntermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.
      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.


      Imprint Name:APress
      Publisher Name:APress
      Country of Publication:GB
      Publishing Date:2018-12-13

      Additional information

      Weight434 g
      Dimensions179 × 254 × 13 mm