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- W4377081232 abstract "Ontologies show great promise in addressing many of the issues of component-based research, and they are a strong example of technology-supported science. A mental health ontology is a collection of concepts used to design a model which can be used by a variety of data storage and retrieval applications. While there have been categories of mental problems for over a century, it is still unclear what terminology like “mental disorder,” “disease,” and “sickness” mean. Ontologies have been enlisted to help fill in the gaps. Ontologies, for the most part, provide a recognizable language that allows for a computerized bridge between disparate authorities, facilitating translation as research becomes increasingly interdisciplinary. The goal of this research is to figure out what role ontologies have in mental health. The goal of this research is to compile a list of terms connected to mental health and draft a protytypic ontology thereof. The research outcome of this paper is a design of a prototypic ontologies for sentiment analysis of tweets." @default.
- W4377081232 created "2023-05-20" @default.
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- W4377081232 date "2023-01-01" @default.
- W4377081232 modified "2023-10-06" @default.
- W4377081232 title "Design of a Prototypic Mental Health Ontology for Sentiment Analysis of Tweets" @default.
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- W4377081232 doi "https://doi.org/10.1007/978-981-19-9090-8_19" @default.
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