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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… Click to show full 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.
Keywords:
cancer survivors;
identification cancer;
living ptsd;
cancer;
ptsd social;
survivors living
Journal Title: Studies in health technology and informatics
Year Published: 2019
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Journal Title: Studies in health technology and informatics
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!