I am PsyAM: Modeling Happiness with Cognitive Appraisal Dimensions (2023.findings-acl)
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| Challenge: | Emotions are an indicator of psychological states, such as happiness, which can be modelled through cognitive appraisal theory (CAT) |
| Approach: | They propose to use adaptor modules in a sequential multi-task learning setup to generate high-dimensional feature representations of hedonic well-being (momentary happiness) they propose to apply feature fusion methods to model emotion in text . |
| Outcome: | The proposed framework has cross-task validity and generalizability and is robust against traditional methods and BERT baselines. |
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| Challenge: | Appraisal framework in linguistics defines the framework for fine-grained evaluations and opinions. |
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| Challenge: | Existing work on automatic prediction of cognitive appraisals has focused on physiological aspects of emotions. |
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| Challenge: | Recent studies have delved into its significance, yet the interplay between various forms of cognitive appraisal and specific emotions, such as joy and anger, remains an area of exploration in consumption contexts. |
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| Challenge: | Automatic emotion categorization is based on textual units assigned to an emotion from a predefined inventory, for instance following the basic emotion classes proposed by Paul Ekman (1999) or Plutchik (2001). |
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Yuqin Yang, Haowu Zhou, Haoran Tu, Zhiwen Hui, Shiqi Yan, HaoYang Li, Dong She, Xianrong Yao, Yang Gao, Zhanpeng Jin
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