The project aims at constructing knowledge bases for business and management research using modern approaches;
and machine learning frameworks for applying knowledge into optimization problems of social sciences, including
logistics, marketing and finance.
This research concentrates on methods for text preprocessing, including text cleansing and filtering; term extraction,
and downstream analysis like discussion topic identification, sentiment analysis.
This research aims at developing knowledge base methods for sentiment analysis using text messages and posts made available on
public social media, including social networks, blogs... and applications in various economic sectors.
This research aims at developing a knowledge base method for business model representation and application in
business model validation/evaluation.