A review of emotion sensing: categorization models and algorithms
Sentiment analysis consists in the identification of the sentiment polarity associated with a target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes, while emotions provide a finer characterization of the sentiments involved. With the huge number of comments gen...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/162012 |
| _version_ | 1824453733414600704 |
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| author | Wang, Zhaoxia Ho, Seng-Beng Cambria, Erik |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Wang, Zhaoxia Ho, Seng-Beng Cambria, Erik |
| author_sort | Wang, Zhaoxia |
| collection | NTU |
| description | Sentiment analysis consists in the identification of the sentiment polarity associated with a target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes, while emotions provide a finer characterization of the sentiments involved. With the huge number of comments generated daily on the Internet, besides sentiment analysis, emotion identification has drawn keen interest from different researchers, businessmen and politicians for polling public opinions and attitudes. This paper reviews and discusses existing emotion categorization models for emotion analysis and proposes methods that enhance existing emotion research. We carried out emotion analysis by inviting experts from different research areas to produce comprehensive results. Moreover, a computational emotion sensing model is proposed, and future improvements are discussed in this paper. |
| first_indexed | 2025-02-19T03:11:07Z |
| format | Journal Article |
| id | ntu-10356/162012 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:11:07Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1620122022-09-29T05:13:52Z A review of emotion sensing: categorization models and algorithms Wang, Zhaoxia Ho, Seng-Beng Cambria, Erik School of Computer Science and Engineering Engineering::Computer science and engineering Affective Computing Emotion Definition Sentiment analysis consists in the identification of the sentiment polarity associated with a target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes, while emotions provide a finer characterization of the sentiments involved. With the huge number of comments generated daily on the Internet, besides sentiment analysis, emotion identification has drawn keen interest from different researchers, businessmen and politicians for polling public opinions and attitudes. This paper reviews and discusses existing emotion categorization models for emotion analysis and proposes methods that enhance existing emotion research. We carried out emotion analysis by inviting experts from different research areas to produce comprehensive results. Moreover, a computational emotion sensing model is proposed, and future improvements are discussed in this paper. 2022-09-29T05:13:52Z 2022-09-29T05:13:52Z 2020 Journal Article Wang, Z., Ho, S. & Cambria, E. (2020). A review of emotion sensing: categorization models and algorithms. Multimedia Tools and Applications, 79(47-48), 35553-35582. https://dx.doi.org/10.1007/s11042-019-08328-z 1380-7501 https://hdl.handle.net/10356/162012 10.1007/s11042-019-08328-z 2-s2.0-85077555792 47-48 79 35553 35582 en Multimedia Tools and Applications © 2019 Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Affective Computing Emotion Definition Wang, Zhaoxia Ho, Seng-Beng Cambria, Erik A review of emotion sensing: categorization models and algorithms |
| title | A review of emotion sensing: categorization models and algorithms |
| title_full | A review of emotion sensing: categorization models and algorithms |
| title_fullStr | A review of emotion sensing: categorization models and algorithms |
| title_full_unstemmed | A review of emotion sensing: categorization models and algorithms |
| title_short | A review of emotion sensing: categorization models and algorithms |
| title_sort | review of emotion sensing categorization models and algorithms |
| topic | Engineering::Computer science and engineering Affective Computing Emotion Definition |
| url | https://hdl.handle.net/10356/162012 |
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