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020 _a9781484262450
024 7 _a10.1007/978-1-4842-6246-7
_2doi
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_cAIMIT LIBRARY
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_bSRIM
092 _aEBOOK
100 1 _aSri, Mathangi.
_932928
245 1 0 _aPractical Natural Language Processing with Python :
_bWith Case Studies from Industries Using Text Data at Scale /
_cby Mathangi Sri.
250 _a1st ed.
260 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2021.
300 _axv, 253p. ;
_c25.5 cm.
347 _atext file
_bPDF
_2rda
505 0 _aChapter 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 _aRequires an SPL library card.
520 _aWork 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 _aMode of access: World Wide Web.
650 0 _aMachine learning
_932929
650 0 _aPython (Computer program language)
_932930
650 0 _aOpen source software
_932931
650 0 _aComputer programming
_932932
655 7 _aElectronic books.
_2local
_932933
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781484262450
776 0 8 _iPrinted edition:
_z9781484262474
776 0 8 _iPrinted edition:
_z9781484267493
856 4 0 _yView this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
_uhttps://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484262467/?ar
_zAn e-book available through full-text database.
942 _2ddc
_cBK
_e1st
_k006.35 SRIM
999 _c222734
_d222734
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