The Manifold of Human Emotions

TL;DR

This paper introduces a continuous manifold model for human emotions in sentiment analysis, capturing a richer spectrum of feelings beyond positive or negative, and compares it with psychological data to enhance emotion prediction.

Contribution

It presents a novel continuous manifold approach to model a broad range of human emotions, extending beyond traditional sentiment analysis methods.

Findings

Model aligns with psychological observations

Demonstrates improved emotion prediction capabilities

Captures a richer set of human emotions

Abstract

Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper, we consider higher dimensional extensions of the sentiment concept, which represent a richer set of human emotions. Our approach goes beyond previous work in that our model contains a continuous manifold rather than a finite set of human emotions. We investigate the resulting model, compare it to psychological observations, and explore its predictive capabilities.