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Automatic Emotion Recognition and Classification

Authors
Publisher
Elsevier Ltd
Volume
38
Identifiers
DOI: 10.1016/j.proeng.2012.06.004
Keywords
  • Ontology
  • Natural Language Processing
  • Affective Computing
  • Wordnet
Disciplines
  • Communication
  • Computer Science

Abstract

Abstract Emotions are important part of human communication. In this paper emotion is automatically detected from text. Understanding the meaning of language is the goal of Natural Language Processing and also understanding emotion is one of goals of affective computing. Those two areas of artificial intelligent have recently come together for understanding emotion in text. This paper describes a English emotion ontology based on WordNet and its construction. The ontology is used to understand, classify and recognize emotion in English sentence. Using the ontology the emotion will be predicted by Natural Language Processing.

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