Modern Standard Arabic Mood Changing and Depression Dataset

Published: 18 July 2022| Version 1 | DOI: 10.17632/myrb2gky8w.1
Contributors:
Ashwag Maghraby, Hosnia Ali

Description

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 was collected during 1-1-2020 and 1-1-2021 using automatically collecting samples of depression and non-depression tweets. The data contains 1230 records. This 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.

Files

Institutions

Umm Al-Qura University

Categories

Health Sciences, Artificial Intelligence, Depression, Artificial Intelligence Applications, Health, Arabic Language, Mood Disorder

Licence