![]() "title_best": "Learn Emotion Analysis with R: Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny (English Edition)", "original_filename_best_name_only": "Learn_Emotion_Analysis_with_R_Perform_Sentiment_Assessments_Extract_Emotions_and_Learn_NLP_Techniques_Using_R_and_Shiny_English_Edition_.pdf", "original_filename_best": "Learn_Emotion_Analysis_with_R_Perform_Sentiment_Assessments_Extract_Emotions_and_Learn_NLP_Techniques_Using_R_and_Shiny_English_Edition_.pdf", "filename": "learn-emotion-analysis-with-r-perform-sentiment-r-annas-archive-libgenrs-nf-3080691.pdf", "ipfs_cid": "bafykbzacebnatka7rk2dsq5t63j4axbaucxopgpx2h45msxonid4e26i5l3rk", He has been working in the computer software industry for 32 years as of 2021. He has been involved in the creation of more than 10 large products and 60 projects around the globe. 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. Learn to assess textual data and extract sentiments using various text analysis R packages He has been working in the computer software industry for 32 years as of 2021.” Section 2 Introduction to Shiny Programming All you need is just an open mind to learn and explore this concept. No prior knowledge of R programming is needed. This book aspires to teach NLP users, ML engineers, and AI engineers who want to develop a strong understanding of Emotion and Sentiment Analysis. Conducting Emotion Analysis using Lexicons.Learn the essentials of Emotion Analysis.Learn the essentials of Sentiment Analysis.This is a logical next step after reading this book. ![]() The book rounds off with creating a tool for Emotion Analysis from the data obtained from Twitter and WhatsApp.Įmotion Analysis can be also performed using Machine Learning. The book then proceeds to build Shiny applications for Emotion Analysis. Then, the book discusses essentials of Sentiment Analysis and Emotion Analysis. 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. 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. This book covers how to conduct Emotion Analysis based on Lexicons. ![]()
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