Abstract
Emotion is a complicated concept, and can be represented in different ways. In this paper, we discuss two kinds of emotion representations: the enumerative representation and the compositional representation. Compared to the enumerative representation, the compositional representation is the less rigid description of an emotion. However, from the perspective of emotion classification and detection, different representations often correspond to different emotion processing task. In the enumerative representation, emotion processing can be considered as single-label classification (detecting one and only one label); in the compositional representation, the task turns into the detection of a vector. In this paper, we explore the impact of these emotion representations in emotion processing, including the trade-off of these representations and the selection of technologies to process emotion. M. Lee, and Chu-Ren Huang.
| Original language | English |
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| Title of host publication | PACLIC 23 - Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation |
| Pages | 92-100 |
| Number of pages | 9 |
| Volume | 1 |
| Publication status | Published - 1 Dec 2009 |
| Event | 23rd Pacific Asia Conference on Language, Information and Computation, PACLIC 23 - Hong Kong, Hong Kong Duration: 3 Dec 2009 → 5 Dec 2009 |
Conference
| Conference | 23rd Pacific Asia Conference on Language, Information and Computation, PACLIC 23 |
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| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 3/12/09 → 5/12/09 |
Keywords
- Emotion
- Emotion classification
- Emotion processing
- Multi-label classification
ASJC Scopus subject areas
- Language and Linguistics
- Computer Science (miscellaneous)