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Identification of Cancer Survivors Living with PTSD on Social Media
Nur Hafieza Ismail1, Ninghao Liu1, Mengnan Du1
1Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, USA.
Abstract:
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.
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