| Incorporating popularity in a personalized news recommender system N Jonnalagedda, S Gauch, K Labille, S Alfarhood PeerJ Computer Science 2, e63, 2016 | 61 | 2016 |
| Creating domain-specific sentiment lexicons via text mining K Labille, S Gauch, S Alfarhood Proc. Workshop Issues Sentiment Discovery Opinion Mining (WISDOM), 1-8, 2017 | 40 | 2017 |
| Estimating Sentiment via Probability and Information Theory. K Labille, S Alfarhood, S Gauch KDIR 2016, 121-129, 2016 | 23 | 2016 |
| Achieving user-side fairness in contextual bandits W Huang, K Labille, X Wu, D Lee, N Heffernan Human-Centric Intelligent Systems 2 (3), 81-94, 2022 | 19 | 2022 |
| Lexicon-based sentiment analysis for stock movement prediction Z Turner, K Labille, S Gauch Journal of Construction Materials 2 (3), 3-5, 2021 | 17 | 2021 |
| PLDSD: propagated linked data semantic distance S Alfarhood, K Labille, S Gauch 2017 IEEE 26th International Conference on Enabling Technologies …, 2017 | 14 | 2017 |
| Detecting fake news through emotion analysis A Mackey, S Gauch, K Labille Proceedings of the 13th International Conference on Information, Process …, 2021 | 8 | 2021 |
| Conceptual Impact-Based Recommender System for CiteSeerx. K Labille, S Gauch, AS Joseph, T Bogers, M Koolen CBRecSys@ RecSys, 50-53, 2015 | 8 | 2015 |
| Employing link differentiation in linked data semantic distance S Alfarhood, S Gauch, K Labille Knowledge Engineering and Semantic Web: 8th International Conference, KESW …, 2017 | 6 | 2017 |
| Fairness-aware bandit-based recommendation W Huang, K Labille, X Wu, D Lee, N Heffernan 2021 IEEE international conference on big data (big data), 1273-1278, 2021 | 5 | 2021 |
| Semantic distance spreading across entities in linked open data S Alfarhood, S Gauch, K Labille Information 10 (1), 15, 2019 | 5 | 2019 |
| Optimizing statistical distance measures in multivariate SVM for sentiment quantification K Labille, S Gauch Proceedings of the the Thirteenth International Conference on Information …, 2021 | 3 | 2021 |
| Transferable contextual bandits with prior observations K Labille, W Huang, X Wu Pacific-Asia Conference On Knowledge Discovery And Data Mining, 398-410, 2021 | 3 | 2021 |
| Intelligent applications design in automotive infortainment systems HC Ting, SS Chen, K Labille, YW Tsai, YH Chen, SJ Ruan 2012 IEEE Asia Pacific Conference on Circuits and Systems, 376-379, 2012 | 2 | 2012 |
| Sentiment analysis, quantification, and shift detection K Labille University of Arkansas, 2019 | 1 | 2019 |
| Text Mining for Word Sentiment Detection K Labille, S Gauch, S Alfarhood Knowledge Discovery, Knowledge Engineering and Knowledge Management: 8th …, 2019 | | 2019 |
| Lexicon-Based Sentiment Analysis for Stock Movement Prediction Z Turner, K Labille, S Gauch International Journal of Economics and Management Engineering 15 (1), 149-154, 2014 | | 2014 |
Susan GauchProfessor, Computer Science and Engineering, University of ArkansasVerified email at uark.edu
