03650nam a22004935i 4500 ssj0002425321 WaSeSS 20220429134456.0 m d cr n 201130s2021 xxu| o |||| 0|eng d 9781484262450 10.1007/978-1-4842-6246-7 doi WaSeSS AIMIT LIBRARY Q325.5-.7 TK7882.P3 UYQM bicssc COM004000 bisacsh UYQM thema 006.35 1 SRIM EBOOK Sri, Mathangi. 32928 Practical Natural Language Processing with Python : With Case Studies from Industries Using Text Data at Scale / by Mathangi Sri. 1st ed. Berkeley, CA : Apress : Imprint: Apress, 2021. xv, 253p. ; 25.5 cm. text file PDF rda 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. Requires an SPL library card. 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 . Mode of access: World Wide Web. Machine learning 32929 Python (Computer program language) 32930 Open source software 32931 Computer programming 32932 Electronic books. local 32933 Springer Nature eBook Printed edition: 9781484262450 Printed edition: 9781484262474 Printed edition: 9781484267493 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484262467/?ar An e-book available through full-text database. ddc BK 1st 006.35 SRIM 222734 222734 03678252 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 699.00 Bill no:6623; Bill dt:2022-03-23 0 006.35 SRIM MCA17072 2026-05-23 00:00:00 559.20 2022-04-29 BK