The dataset was created to identify relevant features for detecting individuals with depression based on their Twitter posts. It consists of 3,758 tweets and 5,902 unique words, structured in a binary
The dataset was created to identify relevant features for detecting individuals with depression based on their Twitter posts. It consists of 3,758 tweets and 5,902 unique words, structured in a binary