caciitg/UTrack
UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time
UTrack analyzes your Twitter activity to give you insights into your mental well-being. By processing the text of your tweets, it generates scores and trends over time for loneliness, stress, and anxiety levels. This tool is designed for anyone interested in understanding patterns in their social media communication related to these mental states.
No commits in the last 6 months.
Use this if you want to passively monitor your public Twitter content for indicators of loneliness, stress, or anxiety.
Not ideal if you expect clinical-grade mental health diagnostics or prefer not to share your Twitter data for analysis.
Stars
14
Forks
9
Language
Python
License
MIT
Category
Last pushed
Jul 30, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/caciitg/UTrack"
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