National Study of Mental Health and Wellbeing, 2020-2022
The National Study of Mental Health and Wellbeing provides key statistics on mental health issues in Australia, including the prevalence of mental disorders, consultations with health professionals, and the use of mental health-related medications. The study covers a wide range of mental health conditions and offers insights into the impact of mental health on individuals and society.
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The National Study of Mental Health and Wellbeing is a comprehensive survey conducted by the Australian Bureau of Statistics (ABS) to understand the mental health status of the Australian population. Key findings include the prevalence of mental disorders, the most common types of disorders, and the use of mental health services. The study also provides data on the co-occurrence of mental and physical health conditions, consultations with health professionals, and the use of digital technologies for mental health support. This data is crucial for policymakers, researchers, and healthcare providers to develop and implement effective mental health strategies.
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American National Mental Health Services Survey
The American National Mental Health Services Survey (N-MHSS) is an annual survey conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA) to collect data on mental health treatment facilities across the United States. The survey provides detailed information on the services and characteristics of these facilities, helping to inform policy and improve mental health care.
HappyDB: a happiness database of 100,000 happy moments
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.
Depression: Twitter Dataset + Feature Extraction
This dataset contains 20,000 labelled English tweets of depressed and non-depressed users. The data is collected using the Twitter API and includes feature extraction techniques such as topic modelling and emoji sentiment analysis. It is designed for mental health classification at the tweet level.