class=”has-background” style=”background-color:#e5e5e5″
Research Highlights
We are interested in analyzing social media content to discover public opinions or sentiments toward certain issues, identify relationships among multiple identities, and discover new knowledge (e.g., adverse drug side effects), etc.
Selected Publications
Tao, J. and L. Zhou (2023), Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning Based Time Series Analysis, IEEE Transactions on Engineering Management, 70(3), 834-848.
Zhao, K., L. Zhou, X. Zhao (2022). Multi-modal emotion expression and online charity crowdfunding success. Decision Support Systems. December, 163.
Grover, V., Chiang, R., Liang, T., and Zhang, D. (2018). Creating strategic business value from big data analytics: a research framework. Journal of Management Information Systems. 35(2), 388-423. READ
Zhou, L., Zhang, D., Yang, C., and Wang, Y. (2018). Harnessing Social Media for Health Information Management. Electronic Commerce Research and Applications. 27, 139-151. READ
Kang, Y., Wang, Y., Zhang, D., and Zhou, L. (2017). The Public’s Opinions on a New School Meals Policy for Childhood Obesity Prevention in the U.S.: A Social Media Analytics Approach. International Journal of Medical Informatics. 103:83-88. doi: 10.1016/j.ijmedinf.2017.04.013. READ
Yan, Z., Xing, M., Zhang, D., and Ma, B. (2015). EXPRS: An Extended PageRank Method for Product Feature Extraction from Online Consumer Reviews. Information & Management.52, 850-858. READ