Exploration of Online Health Support Groups Through the Lens of Sentiment Analysis

  • Keyang ZhengEmail author
  • Ang Li
  • Rosta Farzan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10766)


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.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Computing and InformationUniversity of PittsburghPittsburghUSA

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