survey

Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis

Authors:
Eun Hee Park

Old Dominion University, Norfolk, VA, USA

Old Dominion University, Norfolk, VA, USA

0000-0002-9831-8951
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,
Veda C. Storey

Georgia State University, Atlanta, GA, USA

Georgia State University, Atlanta, GA, USA

0000-0002-8735-1553
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Authors Info & Claims

ACM Computing Surveys Volume 55 Issue 9Article No.: 181pp 1–38https://doi.org/10.1145/3555719

Published:16 January 2023Publication History

ACM Computing Surveys

Abstract

Emotion ontologies have been developed to capture affect, a concept that encompasses discrete emotions and feelings, especially for research on sentiment analysis, which analyzes a customer's attitude towards a company or a product. However, there have been limited efforts to adapt and employ these ontologies. This research surveys and synthesizes emotion ontology studies to develop a Framework of Emotion Ontologies that can be used to help a user select or design an appropriate emotion ontology to support sentiment analysis and increase the user's understanding of the roles of affect, context, and behavioral information with respect to sentiment. The framework, which is derived from research on emotion ontologies, psychology, and sentiment analysis, classifies emotion ontologies as discrete emotion or one of two hybrid ontologies that are combinations of the discrete, dimensional, or componential process emotion paradigms. To illustrate its usefulness, the framework is applied to the development of an emotion ontology for a sentiment analysis application.

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Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis

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Published in
ACM Computing Surveys Volume 55, Issue 9
September 2023
835 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/3567474
Editor:
Albert Zomaya
University of Sydney, Australia
Issue’s Table of Contents
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Publication History
- Published: 16 January 2023
- Online AM: 14 September 2022
- Accepted: 3 August 2022
- Revised: 28 July 2022
- Received: 13 December 2021
Published in csur Volume 55, Issue 9

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Author Tags
Ontology
sentiment analysis
affect
emotion
Framework of Emotion Ontologies
discrete emotion ontology
dimensional emotion ontology
componential process ontology
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Conference
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Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis

ACM Computing Surveys

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The language of emotion in short blog texts

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