/HappinessPlains

Vast Fields" uses zero-shot learning to analyze happiness data from Douban Groups. We classify happiness into Hedonic and Eudaimonic types using a dataset of positive daily events. Models like SVM, Random Forest, GBDT, and XG-Boost are employed for further analysis, showcasing zero-shot learning in social science research.

Primary LanguageJupyter Notebook

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