Abstract: This paper introduces a robust multiplatform artificial intelligence (AI) system designed for real-time emotion classification in service robotics. The primary focus of this study is the ...

An experiment shows how Microsoft's AI assistant Copilot applies stereotypes when analyzing data instead of actually reading it. Thinking models solve the task but sometimes need users to know their ...

This video explores some of the most impactful and beautifully written chapters in Tolkien’s work. It examines what makes these sections stand out in terms of emotion and storytelling. The analysis ...

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While social listening tools are widely used, they often fall short, providing only ...

In this tutorial, I will guide you on how to detect emotions associated with textual data and how can you apply it in real-world applications. Understanding emotions associated with text is commonly ...

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.

This repository contains an AI-based Text Emotion Detector Web Application created as part of IBM's "Python for AI & Development Project" course. Sentiment analysis is the process of analyzing digital ...

If Multi-EmoBERT is helpful for your research, please consider citing our paper: @inproceedings{li2023multi, title={Multi-emotion Recognition Using Multi-EmoBERT and Emotion Analysis in Fake News}, ...