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Publications in VIVO

Lee, Jintae Associate Professor


Research Areas research areas


research overview

  • My research interest is in text mining user generated contents (UGC) such as tweets and user postings during disaster situations to identify patterns in both form and content. I am also interested in text mining cultural differences. For example, a recent project develops a text-analytic method that examine user posted reviews and identify factors people in different cultural groups perceive as important when making their travel choices. A related thread of his research uses text analytic methods to study how a given concept might differ across organizational and national cultures. For example, it develops a method to identify how a concept such as cell phone or vacation might differ across different generational groups (e.g. millennials vs. baby boomers) or national cultures.


  • text mining, social media analytics, knowledge management, knowledge representation, frames, ontology


selected publications


courses taught

  • BAIM 3210 Business Application Programming (Spring 2019)
  • MGMT 8990 Doctoral Thesis (Spring 2019)
  • BAIM 3210 Business Application Programming (Fall 2018)
  • MGMT 8990 Doctoral Thesis (Fall 2018)
  • MGMT 8990 Doctoral Thesis (Summer 2018)
  • MGMT 8990 Doctoral Thesis (Spring 2018)


International Activities

global connections related to teaching and scholarly work (in recent years)

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