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.

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