KNOWLEDGE MINING FROM WEB CUSTOMER OPINIONS TO IMPROVE ENTERPRISE PRODUCT

DOMENICO CONSOLI, CLAUDIA DIAMANTINI, DOMENICO POTENA

Dipartimento di Ingegneria, Informatica Gestionale e dell'Automazione Universit Politecnica delle Marche, Ancona, Italy, email: {consoli, diamantini, potena}@diiga.univpm.it

Abstract

Nowadays, for the enterprise, the customer is a very important strategic resource. The opinions of a customer about a particular product/service helps top management to introduce improvements in processes and products, thus the enterprise gains competitive advantages. So, it is very important to define a bidirectional communication channel, supported from collaborative tools, between the customer and the enterprise. In this paper we introduce a customer oriented framework that after gathering and polarizing web customer opinions, with an algorithm of sentiment analysis, is able to route dysfunctions about product/service to competence center. This framework can be considered a Customer-Centred Information System that crosses many internal business functions.

Keywords

Customer Opinions Text Mining Sentiment Analysis Opinion Mining Customer-Centred Enterprise Information System CRM