Affective Computing by Emotion Inference and Advanced Semantic Analysis

Abstract

In this paper, we will look into inferring emotions from text. By semantically analyzing a text piece with ontological reference, we seek to perceive the kind of emotions that would be induced in the reader after he or she reads the article. Inference of the emotions is done by use of OMCSNet and WordNet, two engines well used in the research of computational linguistics. The system also incorporates a visual agent that provides text feedback based on the results of inferred emotions from analyzing the text.