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Lee, Jintae Associate Professor

Positions

Research Areas research areas

Research

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.

keywords

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

Publications

selected publications

Background

International Activities

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

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