Identification of Cancer Survivors Living with PTSD on Social Media

摘要

The trauma of cancer often leaves survivors with PTSD. Tweets posted on Twitter usually reflect the users’ psychological state, which is convenient for data collection. However, Twitter also contains a mix of noisy and genuine tweets. The process of manually identifying genuine tweets is expensive and time-consuming. Thus, we propose a knowledge transfer technique to filter out unrelated tweets. Our experiments show that our model outperforms the baselines.