Depression Corpus of Arabic tweets
Radwa Nassar, AbdelMoniem Helmy, Nagy Ramadan · Harvard Dataverse · 2022
This is a new Arabic corpus for depression detection from Twitter. This corpus consists of 10.000 tweets classified into 5.000 of 1 which means "depressed" tweets, and 5.000 of 0 which means "non-depressed" tweets. Additionally, the fetched tweets covered a wide range of different synonymous of depression and cheerfulness on Twitter. To our knowledge, this is the first manually annotated Arabic corpus for depression detection from Twitter up to submitting this data.