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Practical Natural Language Processing with Python

With Case Studies from Industries Using Text Data at Scale

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Apress


Paru le : 2020-11-30



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Description

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 theproblems 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.
What You Will Learn
Build an understanding of NLP problems in industryGain the know-how to solve a typical NLP problem using language-based models and machine learningDiscover the best methods to solve a business problem using NLP - the tried and tested onesUnderstand the business problems that are tough to solve 

Who This Book Is For
Analytics and data science professionals who want to kick start NLP, and NLP professionals who want to get new ideas to solve theproblems at hand.
Pages
253 pages
Collection
n.c
Parution
2020-11-30
Marque
Apress
EAN papier
9781484262450
EAN PDF
9781484262467
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
5919 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
64,44 €
EAN EPUB
9781484262467
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
8090 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
64,44 €

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