This documentation provides an overview of the emotion classification model implemented in Python using various machine learning and deep learning algorithms. The model is designed to classify the ...

This project focuses on leveraging data science, machine learning (ML), and deep learning (DL) techniques to analyze employee emotions and moods using inputs such as text, facial expressions, or ...

Emotion detection is one of the challenging tasks in Natural Language Processing. The applications of emotion detection can be utilized in different fields like data mining, psychology, and ...

Humans have a unique ability to demonstrate and understand emotions through a variety of models of communication. Based on their emotions or mood swings we can judge whether the human subject is in ...

Using Google’s off-the-shelf cloud AI algorithms to “watch” a week of television news from the Internet Archive’s Television News Archive we can assess the average facial emotion by station.