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Health Monitoring on Social Media over Time. IEEE Transactions on Knowledge and Data Engineering (Volume: PP, Issue: 99)

Sidana S, Amer-Yahia S, Clausel M, Rebai M, Mai ST, Amini MR
doi : 10.1109/TKDE.2018.2795606


Social media has become a major source for analyzing all aspects of daily life. Thanks to dedicated latent topic analysis methods such as the Ailment Topic Aspect Model (ATAM), public health can now be observed on Twitter. In this work, we are interested in using social media to monitor people's health over time. The use of tweets has several benefits including instantaneous data availability at virtually no cost. Early monitoring of health data is complementary to post-factum studies and enables a range of applications such as measuring behavioral risk factors and triggering health campaigns. We formulate two problems: health transition detection and health transition prediction.

Published on August 23, 2018