語系:
繁體中文
English
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
Practical natural language processin...
~
Sri, Mathangi.
FindBook
Google Book
Amazon
博客來
Practical natural language processing with Python = with case studies from industries using text data at scale /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practical natural language processing with Python/ by Mathangi Sri.
其他題名:
with case studies from industries using text data at scale /
作者:
Sri, Mathangi.
出版者:
Berkeley, CA :Apress : : 2021.,
面頁冊數:
xv, 253 p. :ill., digital ;24 cm.
內容註:
Chapter 1: Text Data in Real Word -- Chapter 2: NLP in Customer Service -- Chapter 3: NLP in Online Reviews -- Chapter 4: NLP in BFSI -- Chapter 5: NLP in Virtual Assistants.
Contained By:
Springer Nature eBook
標題:
Machine learning. -
電子資源:
https://doi.org/10.1007/978-1-4842-6246-7
ISBN:
9781484262467
Practical natural language processing with Python = with case studies from industries using text data at scale /
Sri, Mathangi.
Practical natural language processing with Python
with case studies from industries using text data at scale /[electronic resource] :by Mathangi Sri. - Berkeley, CA :Apress :2021. - xv, 253 p. :ill., digital ;24 cm.
Chapter 1: Text Data in Real Word -- Chapter 2: NLP in Customer Service -- Chapter 3: NLP in Online Reviews -- Chapter 4: NLP in BFSI -- Chapter 5: NLP in Virtual Assistants.
Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case studies. Similar depth is given to other use cases such as online reviews, bots, finance, and so on. As you cover the problems in these industries you'll also cover sentiment analysis, named entity recognition, word2vec, word similarities, topic modeling, deep learning, and sequence to sequence modelling. By the end of the book, you will be able to handle all types of NLP problems independently. You will also be able to think in different ways to solve language problems. Code and techniques for all the problems are provided in the book. You will: Build an understanding of NLP problems in industry Gain the know-how to solve a typical NLP problem using language-based models and machine learning Discover the best methods to solve a business problem using NLP - the tried and tested ones Understand the business problems that are tough to solve.
ISBN: 9781484262467
Standard No.: 10.1007/978-1-4842-6246-7doiSubjects--Topical Terms:
533906
Machine learning.
LC Class. No.: TK7882.P3 / S65 2021
Dewey Class. No.: 006.31
Practical natural language processing with Python = with case studies from industries using text data at scale /
LDR
:02945nmm a2200325 a 4500
001
2236641
003
DE-He213
005
20201130134254.0
006
m d
007
cr nn 008maaau
008
211111s2021 cau s 0 eng d
020
$a
9781484262467
$q
(electronic bk.)
020
$a
9781484262450
$q
(paper)
024
7
$a
10.1007/978-1-4842-6246-7
$2
doi
035
$a
978-1-4842-6246-7
040
$a
GP
$c
GP
$e
rda
041
0
$a
eng
050
4
$a
TK7882.P3
$b
S65 2021
072
7
$a
UYQM
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQM
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
TK7882.P3
$b
S774 2021
100
1
$a
Sri, Mathangi.
$3
3488204
245
1 0
$a
Practical natural language processing with Python
$h
[electronic resource] :
$b
with case studies from industries using text data at scale /
$c
by Mathangi Sri.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2021.
300
$a
xv, 253 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1: Text Data in Real Word -- Chapter 2: NLP in Customer Service -- Chapter 3: NLP in Online Reviews -- Chapter 4: NLP in BFSI -- Chapter 5: NLP in Virtual Assistants.
520
$a
Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case studies. Similar depth is given to other use cases such as online reviews, bots, finance, and so on. As you cover the problems in these industries you'll also cover sentiment analysis, named entity recognition, word2vec, word similarities, topic modeling, deep learning, and sequence to sequence modelling. By the end of the book, you will be able to handle all types of NLP problems independently. You will also be able to think in different ways to solve language problems. Code and techniques for all the problems are provided in the book. You will: Build an understanding of NLP problems in industry Gain the know-how to solve a typical NLP problem using language-based models and machine learning Discover the best methods to solve a business problem using NLP - the tried and tested ones Understand the business problems that are tough to solve.
650
0
$a
Machine learning.
$3
533906
650
0
$a
Python (Computer program language)
$3
729789
650
0
$a
Open source software.
$3
581998
650
0
$a
Computer programming.
$3
527209
650
1 4
$a
Machine Learning.
$3
3382522
650
2 4
$a
Python.
$3
3201289
650
2 4
$a
Open Source.
$3
2210577
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-1-4842-6246-7
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9398526
電子資源
11.線上閱覽_V
電子書
EB TK7882.P3 S65 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入