Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms
This study aims to address the research gap in detecting depression from Arabic tweets using the PHQ-9 scale as a framework. The dataset collected was a set of 200,000 tweets from around 20,000 users. A team of psychologists and assistants used a user-based approach to label users as either depresse...
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2023
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/2486 |
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