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.
The Implicit Association Test (IAT) measures unconscious bias and attitudes towards various topics such as race, gender, and age. It provides insights into implicit preferences and stereotypes.
The Department of Psychology at the University of York is a top psychology department in the world, excelling in both teaching and research, providing a friendly, stimulating, and supportive environment for students.
Stanford University's Department of Psychology is known for its pioneering research in cognitive psychology, neuroscience, and mental health, offering world-class training for future psychologists.