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001 - CONTROL NUMBER |
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ssj0002425321 |
003 - CONTROL NUMBER IDENTIFIER |
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WaSeSS |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220429134456.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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201130s2021 xxu| o |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484262450 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4842-6246-7 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Modifying agency |
WaSeSS |
Transcribing agency |
AIMIT LIBRARY |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q325.5-.7 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TK7882.P3 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYQM |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM004000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYQM |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.35 |
Edition number |
1 |
Item number |
SRIM |
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
Classification number |
EBOOK |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) |
Koha Dewey Subclass [OBSOLETE] |
03678252 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Sri, Mathangi. |
9 (RLIN) |
32928 |
245 10 - TITLE STATEMENT |
Title |
Practical Natural Language Processing with Python : |
Remainder of title |
With Case Studies from Industries Using Text Data at Scale / |
Statement of responsibility, etc. |
by Mathangi Sri. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Berkeley, CA : |
Name of publisher, distributor, etc. |
Apress : |
-- |
Imprint: Apress, |
Date of publication, distribution, etc. |
2021. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xv, 253p. ; |
Dimensions |
25.5 cm. |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
506 ## - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
Requires an SPL library card. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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 . |
538 ## - SYSTEM DETAILS NOTE |
System details note |
Mode of access: World Wide Web. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning |
9 (RLIN) |
32929 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Python (Computer program language) |
9 (RLIN) |
32930 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Open source software |
9 (RLIN) |
32931 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer programming |
9 (RLIN) |
32932 |
655 #7 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic books. |
Source of term |
local |
9 (RLIN) |
32933 |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484262450 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484262474 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484267493 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Link text |
View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
Uniform Resource Identifier |
<a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484262467/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484262467/?ar</a> |
Public note |
An e-book available through full-text database. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Edition |
1st |
Call number prefix |
006.35 SRIM |