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	Card	Table	RUSMARC

Kasliwal, Nirant. Natural Language Processing with Python Quick Start Guide: Going from a Python Developer to an Effective Natural Language Processing Engineer. — Birmingham: Packt Publishing Ltd, 2018. — 1 online resource (177 pages). — Weighted classifiers. — <URL:http://elib.fa.ru/ebsco/1950559.pdf>.

Record create date: 12/15/2018

Subject: Natural language processing (Computer science); Python (Computer program language); Natural Language Processing; Python (Computer Program Language); Computer Software — Testing.; Debugging In Computer Science.; Computers — Languages — Python.; Computers — Software Development & Engineering — Quality Assurance & Testing.; Traitement automatique des langues naturelles.; Python (Langage de programmation); Programming & scripting languages: general.; Artificial intelligence.; Natural language & machine translation.; Computers — Intelligence (AI) & Semantics.; Computers — Programming Languages — Python.; Computers — Natural Language Processing.; Natural language processing (Computer science); Python (Computer program language)

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NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.

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