Publications

Peer-reviewed Journal Publications

  1. Lim, Sunghoon, Conrad S. Tucker, Kathryn Jablokow, and Bart Pursel. “A semantic network model for measuring engagement and performance in online learning platforms.” Computer Applications in Engineering Education 26, no. 5 (2018): 1481-1492.
  2. Tuarob, Suppawong, Sunghoon Lim, and Conrad S. Tucker. "Automated Discovery of Product Feature Inferences within Large Scale Implicit Social Media Data."  Journal of Computing and Information Science in Engineering 18, no. 2 (2018): 021017.
  3. Lim, Sunghoon, and Conrad S. Tucker. "Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers." Journal of Mechanical Design 139, no. 11 (2017): 111409.
  4. Lim, Sunghoon, Conrad S. Tucker, and Soundar Kumara. "An unsupervised machine learning model for discovering latent infectious diseases using social media data." Journal of Biomedical Informatics 66 (2017): 82-94.  (PubMed)
  5. Lim, Sunghoon, and Conrad S. Tucker. "A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data." Journal of Mechanical Design 138, no. 6 (2016): 061403.

 

Peer-reviewed Journal Publications Under Review

  1. Lim, Sunghoon, and Conrad S. Tucker. "Mining Twitter Data for Causal Links between Tweets and Real World Outcomes." Decision Support Systems (Under Review).

 

Peer-reviewed Conference Proceedings

  1. Lim, Sunghoon, Conrad S. Tucker, Kathryn Jablokow, and Bart Pursel. "Quantifying the Mismatch between Course Content and Students’ Dialogue in Online Learning Environments." In ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, American Society of Mechanical Engineers, 2017. (DEC Technical Committee Best Paper Award consisting of a prize of $1,000)