Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment

arXiv:2402.12398v1 Announce Type: new
Abstract: Happiness computing based on large-scale online web data and machine learning methods is an emerging research topic that underpins a range of issues, from personal growth to social stability. Many advanced Machine Learning (ML) models with explanations are used to compute the happiness online assessment while maintaining high accuracy of results. However, domain knowledge constraints, such as the primary and secondary relations of happiness factors, are absent from these models, which limits the association between …

abstract advanced arxiv assessment computing cs.lg data domain domain knowledge growth guide happiness knowledge machine machine learning research scale social stability type web