Mental health is a common issue among youth these days. Our project is a combined effort to identify and help people.
IT identifies the primary causes of people talking about mental health issues.
We used NLP
Challenges we ran into
- Limitation of downloading more than 18000 thousand rows using twitter API
What we learned
- Twitter data appears to be an effective tool for analysis of mental health attitudes and can be a replacement or a complement for the traditional survey methods depending on the specifics of the research question.
apply ML model
- NLP to analyze sentiments from Tweets.