A study on support method of consulting service using text mining

This study aims to build a supporting method for consulting service companies so that the companies can respond to client's demand regardless of the expertise of consultants. Occurrence of future problems in client companies is predicted by using text mining with data taken from a consulting company; correspondence analysis and DEA discriminant analysis are employed. Computer experiments are conducted to verify the effectiveness of the proposed method.