We use different features and classifiers to predict the users' mental health states, marked as green, amber, red, and crisis. Our results show that random forests have significant success over our baseline mutli-class SVM classifier. In addition, we perform feature importance analysis to characterize key features in identification of the critical posts.
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机译：Litchfield心理咨询模型以哲学为基础，将精神健康服务应用程序Lift Up UP，旨在提供简单，实用的建议，以帮助个人和员工应对日常的精神健康挑战，并将用户与现有的精神健康专业人员联系起来。 Lift me UP将使用先进的技术来：•协助患者评估过程•监控和支持日常工作•将用户推荐给可用的心理健康专家•与市场上的任何产品相比，创造独特的定制体验。
