Emotion Detection Using Machine Learning: An Analytical Review

Abstract

This paper provides an analytical review of emotion detection using machine learning techniques. The study focuses on the attempts made in the past and present to develop emotion detecting systems. Numerous methods for identifying emotions have been introduced by students, and several outstanding works have already been found. In order to identify emotions, machine learning has been the primary focus. This paper also includes a summary of the frameworks, algorithms, and datasets that have been employed thus far to address this issue.