HappyDB is a crowd-sourced collection of 100,000 happy moments designed to advance the understanding of happiness through text analysis. The database is publicly available and aims to support research in natural language processing (NLP) and positive psychology. It provides insights into the causes of happiness and suggests sustainable actions for improving well-being.
HappyDB is a valuable resource for researchers and developers working on NLP and positive psychology. The database contains 100,000 crowd-sourced happy moments, each described by individuals experiencing those moments. The goal is to understand how people express happiness in text and to develop systems that suggest actions leading to improved well-being. The dataset is cleaned and formatted for easy use in research and development.
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The University of Pennsylvania’s Department of Psychology offers groundbreaking research in cognition, neuroscience, clinical psychology, and social behavior, contributing to the advancement of mental health and human behavior.