Business Analytics on the Web

Design and evaluate business analytics frameworks for Web contents

As an excellent information source, the Internet provides many opportunities for business analytics. Web contents and social media engagements can all provide important insights on a company's business environment. Although analysis of these contents and communities can provide useful signals for a company and information about its stakeholder groups, the analysis process can be very time-consuming for business analysts and consultants. Our research addresses this problem by proposing designs that integrate various text mining and modeling techniques to facilitate users in performing such business analytics on the Web, and understanding the underlying mechanisms involved in online business environments. Frameworks and prototypes are designed and applied in various business contexts. Rigorous experiments are conducted to evaluate the effectiveness, efficiency, and user satisfaction of our designs.

Selected Publications

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