Modern Standard Arabic mood changing and depression dataset

This paper presents Modern Standard Arabic data for the automatic estimation of the risk of depression for online personas based on their daily Arabic tweets. The data were collected from 1-1-2020 to 1-1-2021 using automatically collected samples of depression and non-depression tweets. The data con...

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Detalles Bibliográficos
Autores principales: Maghraby, Ashwag, Ali, Hosnia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902608/
https://www.ncbi.nlm.nih.gov/pubmed/35274028
http://dx.doi.org/10.1016/j.dib.2022.107999
Descripción
Sumario:This paper presents Modern Standard Arabic data for the automatic estimation of the risk of depression for online personas based on their daily Arabic tweets. The data were collected from 1-1-2020 to 1-1-2021 using automatically collected samples of depression and non-depression tweets. The data contain 1229 records. These data can be used to develop machine-learning tools to identify the risk of an individual being depressed and to build recommender systems that monitor depression.

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