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Learn Emotion Analysis With R : Perform Sentiment Assessments Extract Emotions & Learn NLP Techniques Using R & Shiny

By: Material type: TextTextLanguage: English Publication details: New Delhi : Bpb Publications, 2021Description: 530ISBN:
  • 9789390684151
Subject(s): DDC classification:
  • 005.133 ( R ) MAJ
Summary: 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 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 learn ● Learn the essentials of Sentiment Analysis. ● Learn the essentials of Emotion Analysis. ● Conducting Emotion Analysis using Lexicons. ● Learn to develop Shiny applications.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 005.133 ( R ) MAJ (Browse shelf(Opens below)) Available E11834
Book Book Alliance School of Liberal Arts 005.133 ( R ) MAJ (Browse shelf(Opens below)) Available LA01299
Total holds: 0

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 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 learn

● Learn the essentials of Sentiment Analysis.

● Learn the essentials of Emotion Analysis.

● Conducting Emotion Analysis using Lexicons.

● Learn to develop Shiny applications.

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