Search Results for author:
Found 2 papers, 0 papers with code
Deep Learning for Depression Detection of Twitter Users
Mental illness detection in social media can be considered a complex task, mainly due to the complicated nature of mental disorders.
Monitoring Tweets for Depression to Detect At-risk Users
To achieve our goal, we trained a user-level classifier that can detect at-risk users that achieves a reasonable precision and recall.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
