| 2016-06 | A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data | Lim, Sunghoon; Tucker, Conrad S. | ARTICLE | 485 |
| 2018-09 | A semantic network model for measuring engagement and performance in online learning platforms | Lim, Sunghoon; Tucker, Conrad S.; Jablokow, Kathryn; Pursel, Bart | ARTICLE | 539 |
| 2017-02 | An unsupervised machine learning model for discovering latent infectious diseases using social media data | Lim, Sunghoon; Tucker, Conrad S.; Kumara, Soundar | ARTICLE | 474 |
| 2018-06 | Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data | Tuarob, Suppawong; Lim, Sunghoon; Tucker, Conrad S. | ARTICLE | 482 |
| 2019-09 | Mining Twitter data for causal links between tweets and real-world outcomes | Lim, Sunghoon; Tucker, Conrad S. | ARTICLE | 393 |
| 2017-11 | Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers | Lim, Sunghoon; Tucker, Conrad S. | ARTICLE | 517 |
| 2017-08-06 | Quantifying the mismatch between course content and students' dialogue in online learning environments | Lim, Sunghoon; Tucker, Conrad S.; Jablokow, Kathryn; Pursel, Bart | CONFERENCE | 45 |
