Publisher's Synopsis
Learn to assess textual data and extract sentiments using various text analysis R packagesKey FeaturesIn-depth coverage on core principles, challenges, and application of Emotion Analysis.Includes real-world examples to simplify practical uses of R, Shiny, and various popular NLP techniques.Covers different strategies used in Sentiment and Emotion Analysis.DescriptionThis book covers how to conduct Emotion Analysis based on Lexicons. Through a detailed code walkthrough, the book will explain how to develop systems for Sentiment and Emotion Analysis from popular sources of data, including WhatsApp, Twitter, etc.The book starts with a discussion on R programming and Shiny programming as these will lay the foundation for the system to be developed for Emotion Analysis. Then, the book discusses essentials of Sentiment Analysis and Emotion Analysis. The book then proceeds to build Shiny applications for Emotion Analysis. The book rounds off with creating a tool for Emotion Analysis from the data obtained from Twitter and WhatsApp.Emotion Analysis can be also performed using Machine Learning. However, this requires labeled data. This is a logical next step after reading this book.What you will learnLearn the essentials of Sentiment Analysis.Learn the essentials of Emotion Analysis.Conducting Emotion Analysis using Lexicons.Learn to develop Shiny applications.Who this book is forThis book aspires to teach NLP users, ML engineers, and AI engineers who want to develop a strong understanding of Emotion and Sentiment Analysis. No prior knowledge of R programming is needed. All you need is just an open mind to learn and explore this concept.Table of ContentsSection 1 Introduction to R Programming1 Getting Started with R2 Simple Operations using R3 Developing Simple Applications in RSection 2 Introduction to Shiny Programming4 Structure of Shiny Applications5 Shiny Application 16 Shiny Application 2Section 3 Emotion Analysis7 Sentiment Analysis8 Emotion Analysis9 ZEUSgSection 4 Twitter Data Analysis10 Introduction to Twitter Data Analysis11 Emotion Analysis on Twitter Data12 ChidiyaBONUS CHAPTER: WhatsApp Chat AnalysisAbout the AuthorsPartha Majumdar is Just a Programmer . 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 the creation of more than 10 large products and 60 projects around the globe. He has been working in the computer software industry for 32 years as of 2021.Read more.
