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Suicdal or depressive thoughts are detected in journal entries using sentiment analysis. A natural Langage Proccessing(NLP) model analyzes jounral entries entered onto the website, and users showing signs of poor mental health are directed to resources to help them improve their well-being.

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Mental Health Natural Languag Processing Model Website

Suicdal or depressive thoughts are detected in journal entries using sentiment analysis. A natural Langage Proccessing(NLP) model analyzes jounral entries entered onto the website, and users showing signs of poor mental health are directed to resources to help them imporve their well-being.

The Colab Notebook where I devloped the model can be accesed here: https://colab.research.google.com/drive/117JIc-V6DViaTNyyO-PcD4zLAVBAXe3q?usp=sharing

(NOTE: Heroku has removed their free tier, so the site showcasing the model no longer works. I will soon migrate this project to a different platform)

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Suicdal or depressive thoughts are detected in journal entries using sentiment analysis. A natural Langage Proccessing(NLP) model analyzes jounral entries entered onto the website, and users showing signs of poor mental health are directed to resources to help them improve their well-being.

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