Practical Natural Language Processing with Python : (Record no. 222734)

MARC details
000 -LEADER
fixed length control field 03650nam a22004935i 4500
001 - CONTROL NUMBER
control field ssj0002425321
003 - CONTROL NUMBER IDENTIFIER
control field WaSeSS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220429134456.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MCA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology 03/24/2022 Biblios Book Point 699.00 Bill no:6623; Bill dt:2022-03-23   006.35 SRIM MCA17072 07/21/2025 559.20 04/29/2022 Book