Partha Majumdar - Learn Emotion Analysis with R: Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny

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Table of Contents

Guide

Learn Emotion
Analysis with R

Perform Sentiment Assessments,
Extract Emotions, and Learn NLP
Techniques Using R and Shiny

Partha Majumdar

www.bpbonline.comFIRST EDITION 2021Copyright BPB Publications, IndiaISBN: 978-93-90684-15-1All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTYThe information contained in this book is true to correct and the best of authors and publishers knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.Distributors:BPB PUBLICATIONS20, Ansari Road, Darya GanjNew Delhi-110002Ph: 23254990/23254991MICRO MEDIAShop No. 5, Mahendra Chambers,150 DN Rd. Next to Capital Cinema,V.T. He has been involved in creating Enterprise Class Computer Software for various Ministries and Government Bodies in 7 Countries and for more than 20 Enterprises. He has been involved in creation of more than 10 Large Products and has been involved in more than 60 Projects around the Globe. He has been working in the Computer Software Industry for 32 years as of 2021.

About the Reviewer

Simarpreet Singhis a Data Science Consultant at one of the leading healthcare consulting company. He has 7+ years of experience in analysis, designing and implementing the Business Intelligence solutions to provide data driven insights. He has strong experience in business strategy and healthcare analytics to provide solutions by building statistical models using Machine Learning algorithms. In addition, he leverages data science techniques in order to grow business and have a positive impact on the key business KPIs.

Acknowledgements

There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my parents for continuously encouraging me for writing the book.Then of course, Deepshree agreed to be the guinea pig. She is an Electronics Engineer; however, has no experience in programming. She agreed to run through all the programs in the book and this helped me test whether people with no prior background in programming could understand this book.My gratitude to Arindam Mukhopadhyay who read all the contents and checked for all grammatical errors and consistence in usage of a fixed template. And Anita di went through all the contents and advised whether the sequence of the contents was logical and easy to understand.I am grateful to the excellent online courses provided by top schools across the globe over the past few years. Few of them are: Data Science Specialisation (@Coursera by Johns Hopkins University), Machine learning (@Coursera by Mr. Andrew Ng from Stanford University), Deep Learning Specialisation (@Coursera by deeplearning.ai).My gratitude also goes to the team at BPB Publication (including Saurabh and Anugraha) for being supportive enough to provide me quite a long time to finish the book. Special mention is required for Mr. Simarpreet Singh who took the pains to conduct the Technical Review of the book.

Preface

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