JintaeÌýLee

  • ICS Affiliated Faculty
  • Associate Professor
  • LEEDS SCHOOL OF BUSINESS
Address

Office: Koelbel S450D

RESEARCH SUMMARY

My research interest is in text mining user generated contents (UGC) such as tweets and user postings during disasterÌýsituations to identify patterns in both form and content. I am also interested in text mining cultural differences. ForÌýexample, a recent projectÌý develops a text-analytic method that examine user posted reviews and identify factorsÌýpeople in different cultural groups perceive as important when making their travel choices. A related thread of myÌýresearch uses text analytic methods to study how a given concept might differ across organizational and nationalÌýcultures. For example, it develops a method to identify how a concept such as cell phone or leadership might differÌýacross different generational groups or national cultures.

My past research has focused on process knowledge as captured in the form of process model and ontology. ThisÌýeffort led to successful results such as the Process Interchange Format, which has been incorporated into theÌýNational Institute ofStandards andÌý TechnologyProcess Specification Language. The inter-nomological networkÌýproject, partially funded by NSF, examines some of these questions in the context of interdisciplinary research.ÌýMy articles have been published in MIS Quarterly, Management Science, Human Computer Interactions, amongÌýothers.