Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations
Emotion detection from text is a relatively new classification task. This paper proposes a novel unsupervised context-based approach to detecting emotion from text at the sentence level. The proposed methodology does not depend on any existing manually crafted affect lexicons such as Word Net-Affect...
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| Published in: | 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 1; pp. 346 - 353 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.12.2012
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| Subjects: | |
| ISBN: | 9781467360579, 1467360570 |
| Online Access: | Get full text |
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