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Inbound 9077171323223498707 by yuniie1007 is a document available to read on EtoBox.

This study proposes an intelligent early warning system for student mental health that integrates survey data, Natural Language Processing (NLP), a Random Forest classifier, and a chatbot for real-time support. The system aims to detect mental health issues early by analyzing structured and unstructured data, providing timely interventions based on risk levels. The proposed approach demonstrates strong predictive performance and offers a scalable solution for proactive mental health management in educationa

Author

yuniie1007

Language

EN