Sohom Ghosh - Natural Language Processing Fundamentals: Build intelligent applications that can interpret the human language to deliver impactful results
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Natural Language Processing Fundamentals: Build intelligent applications that can interpret the human language to deliver impactful results: summary, description and annotation
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Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems.
Key FeaturesIf NLP hasnt been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.
Youll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, youll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, youll understand how to apply NLP techniques to answer questions as can be used in chatbots.
By the end of this book, youll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language.
What you will learnNatural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. Itll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.
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Build intelligent applications that can interpret the human language to deliver impactful results
Sohom Ghosh and Dwight Gunning
Copyright 2019 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Authors: Sohom Ghosh and Dwight Gunning
Reviewer: Ankit Malik
Managing Editor: Bhavesh Bangera
Acquisitions Editor: Koushik Sen
Production Editor: Shantanu Zagade
Editorial Board: David Barnes, Ewan Buckingham, Simon Cox, Shivangi Chatterji, Manasa Kumar, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Saman Siddiqui, Erol Staveley, Ankita Thakur, Mohita Vyas, and Jonathan Wray
First Published: March 2019
Production Reference: 2150120
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
ISBN: 978-1-78995-404-3
This section briefly introduces the authors, the coverage of this book, the technical skills you'll need to get started, and the hardware and software requirements required to complete all of the included activities and exercises.
If Natural Language Processing (NLP) isn't really your forte, Natural Language Processing Fundamentals will make sure you get off to a steady start in the realm of NLP. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.
You'll be introduced to NLP and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing text data for modeling. With exposure to concepts such as advanced NLP algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In those sections, you'll gain an understanding of how to apply NLP techniques to answer questions, as can be used for chatbots.
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