Learn Emotion Analysis with R: Perform Sentiment Assessments, Extract Emotions (True EPUB)

[LeeAndro]

English | 2021 | ISBN: 9390684153 | 552 pages | True EPUB | 12.29 MB

Learn to assess textual data and extract sennts using various text analysis R packages

Key Features
In-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 strats used in Sennt and Emotion Analysis.

Description
This book covers how to conduct Emotion Analysis based on Lexicons. Through a detailed code walkthrough, the book will explain how to develop systems for Sennt 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 Sennt 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 learn
Learn the essentials of Sennt Analysis.
Learn the essentials of Emotion Analysis.
Conducting Emotion Analysis using Lexicons.
Learn to develop Shiny applications.

Who this book is for
This book aspires to teach NLP users, ML eeers, and AI eeers who want to develop a strong understanding of Emotion and Sennt Analysis. No prior knowledge of R programming is needed. All you need is just an open mind to learn and explore this concept



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