Abstract
The construction of emotion corpus is a basic task in emotion analysis, which aims to annotate the emotions, such as joy, sadness, and angry, expressed in the text. Previous studies generally focused on the basic emotions in their emotion taxonomies. We find that, however, many emotions expressed in microblog text are difficult to be mapped to basic emotions, which poses a great challenge to emotion annotation. To address this problem, this paper proposes a novel emotion taxonomy which contains both basic emotions and complex emotions for annotating emotions expressed in microblog text. Specially, the basic emotions include four emotion classes, i.e., joy, angry, sadness, and fear while the complex emotions include positive emotions, neutral emotions, and negative emotions. Experimental results demonstrate that the emotion annotation with the proposed emotion taxonomy achieves a much higher consistency, providing a good foundation for further emotion recognition task.
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Huang, L., Li, S., Zhou, G. (2015). Emotion Corpus Construction on Microblog Text. In: Lu, Q., Gao, H. (eds) Chinese Lexical Semantics. CLSW 2015. Lecture Notes in Computer Science(), vol 9332. Springer, Cham. https://doi.org/10.1007/978-3-319-27194-1_21
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