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Building chatbots with Python = usin...

Raj, Sumit.

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Building chatbots with Python = using natural language processing and machine learning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building chatbots with Python/ by Sumit Raj.
Reminder of title:	using natural language processing and machine learning /
Author:	Raj, Sumit.
Published:	Berkeley, CA :Apress : : 2019.,
Description:	xix, 192 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Introducing Chatbots -- Chapter 2: Natural Language Processing -- Chapter 3: Chatbot Development -- Chapter 4: Chatbot Communication -- Chapter 5: Build-Train-Deploy.
Contained By:	Springer eBooks
Subject:	Intelligent agents (Computer software) -
Online resource:	https://doi.org/10.1007/978-1-4842-4096-0
ISBN:	9781484240960

Building chatbots with Python = using natural language processing and machine learning /
Raj, Sumit.

Building chatbots with Pythonusing natural language processing and machine learning /[electronic resource] :by Sumit Raj. - Berkeley, CA :Apress :2019. - xix, 192 p. :ill., digital ;24 cm.

Chapter 1: Introducing Chatbots -- Chapter 2: Natural Language Processing -- Chapter 3: Chatbot Development -- Chapter 4: Chatbot Communication -- Chapter 5: Build-Train-Deploy.

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.

ISBN: 9781484240960

Standard No.: 10.1007/978-1-4842-4096-0doiSubjects--Topical Terms:

567546
Intelligent agents (Computer software)

LC Class. No.: QA76.73.P98 / R357 2019

Dewey Class. No.: 005.133

Building chatbots with Python = using natural language processing and machine learning /
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505 0 $a Chapter 1: Introducing Chatbots -- Chapter 2: Natural Language Processing -- Chapter 3: Chatbot Development -- Chapter 4: Chatbot Communication -- Chapter 5: Build-Train-Deploy.
520 $a 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.
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