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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

Issue:

SSRSMI, Number 2, Volume XIX

Section:

Volume 19, Number 2

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.

Code [ID]:

SSRSMI200902V19S01A0013 [0003125]

Full paper:

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