語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Building chatbots with Pythonusing n...
~
Raj, Sumit.
Building chatbots with Pythonusing 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 Pythonby 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.
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$q(electronic bk.)
Building chatbots with Pythonusing natural language processing and machine learning /
Raj, Sumit.
Building chatbots with Python
using natural language processing and machine learning /[electronic resource] :by Sumit Raj. - Berkeley, CA :Apress :2019. - xix, 192 p. :ill., digital ;24 cm.
Chapter 1: Introducing Chatbots -- Chapter 2: Natural Language Processing -- Chapter 3: Chatbot Development -- Chapter 4: Chatbot Communication -- Chapter 5: Build-Train-Deploy.
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. You will: Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server.
ISBN: 9781484240960$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-4096-0doiSubjects--Topical Terms:
200777
Intelligent agents (Computer software)
LC Class. No.: QA76.73.P98 / R357 2019
Dewey Class. No.: 005.133
Building chatbots with Pythonusing natural language processing and machine learning /
LDR
:02544nmm a2200325 a 4500
001
556030
003
DE-He213
005
20190719132220.0
006
m d
007
cr nn 008maaau
008
191121s2019 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
838472
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
200777
650
0
$a
Python (Computer program language)
$3
215247
650
0
$a
Natural language processing (Computer science)
$3
200539
650
1 4
$a
Python.
$3
763308
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
650
2 4
$a
Programming Techniques.
$3
274470
710
2
$a
SpringerLink (Online service)
$3
273601
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)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000168842
電子館藏
1圖書
電子書
EB QA76.73.P98 R161 2019 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-1-4842-4096-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入