東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Building chatbots with Python = usin...

Raj, Sumit.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Building chatbots with Python/ by Sumit Raj.
其他題名:	using natural language processing and machine learning /
作者:	Raj, Sumit.
出版者:	Berkeley, CA :Apress : : 2019.,
面頁冊數:	xix, 192 p. :ill., digital ;24 cm.
內容註:	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
標題:	Intelligent agents (Computer software) -
電子資源:	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 /
LDR:02544nmm a2200325 a 4500 001 2179154
003 DE-He213
005 20190719132220.0
006 m d
007 cr nn 008maaau
008 191122s2019 cau s 0 eng d
020 $a 9781484240960 $q (electronic bk.)
020 $a 9781484240953 $q (paper)
024 7 $a 10.1007/978-1-4842-4096-0 $2 doi
035 $a 978-1-4842-4096-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.P98 $b R357 2019
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.P98 $b R161 2019
100 1 $a Raj, Sumit. $3 3383996
245 1 0 $a Building chatbots with Python $h [electronic resource] : $b using natural language processing and machine learning / $c by Sumit Raj.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xix, 192 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Intelligent agents (Computer software) $3 567546
650 0 $a Python (Computer program language) $3 729789
650 0 $a Natural language processing (Computer science) $3 565309
650 1 4 $a Python. $3 3201289
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 891123
650 2 4 $a Programming Techniques. $3 892496
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-4096-0
950 $a Professional and Applied Computing (Springer-12059)