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. millennial vs. baby boomers) or national cultures.
keywords
text analytics, social media analytics, knowledge management, knowledge representation, frames, ontology
BAIM 3210 - Low Code for Citizen Developers
Primary Instructor
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Fall 2018 / Spring 2019 / Spring 2020 / Summer 2020 / Spring 2021
This course prepares students for success in the nexus of business and technology convergence. We examine the strategic context and competitive factors that influence design thinking approaches to integrate and orchestrate Cloud Computing and Software as a Service (SaaS) platforms to achieve organizational goals. Through a series of agile �sprints�, this course moves from theoretical to applied, enabling �citizen developers� to leverage leading low-code development and mobile messaging tools to build and extend business applications.
