Abstract
Online health support groups have been gaining prominence in supporting patients and their caregivers. However, it stays as a challenge to understand the role they play in the life of their members. In this paper, we propose a novel approach in utilizing sentiment analysis to explore the dynamics and impact of online health support groups. We present our sentiment analysis model designed for social media support groups and our preliminary results in utilizing the model to understand a Facebook support group for patients with Sickle Cell Disease.
Cite
CITATION STYLE
Zheng, K., Li, A., & Farzan, R. (2018). Exploration of online health support groups through the lens of sentiment analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10766 LNCS, pp. 145–151). Springer Verlag. https://doi.org/10.1007/978-3-319-78105-1_19
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