This project uses a sample of 1.16 million active Weibo users. All participants were anonymized in the data analysis. Prediction models are developed and validated to measure mental health status with training data. We extract linguistic and behavioral features with Linguistic Inquiry and Word Count (LIWC) from the Weibo posts. We use our trained prediction models to predict outcome variables (e.g., mental health status) using these features.