IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Ontology-Based Opinion Mining

Ontology-Based Opinion Mining
View Sample PDF
Author(s): Rajendra Akerkar (Western Norway Research Institute, Norway) and Terje Aaberge (Western Norway Research Institute, Norway)
Copyright: 2013
Pages: 12
Source title: Advancing Information Management through Semantic Web Concepts and Ontologies
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain), Héctor Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina), Robert D. Tennyson (University of Minnesota, USA), Sandra Elizabeth Gonzalez Cisaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina) and Waldemar Karwowski (University of Central Florida, USA)
DOI: 10.4018/978-1-4666-2494-8.ch018

Purchase

View Ontology-Based Opinion Mining on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, the authors discuss an ontology-based approach to opinion mining exploiting the possibility to represent commonly shared meaning of linguistic relations by ontologies. The ontology definitions are used as a standard to which sentences extracted from texts are compared. Unlike conventional text mining, which is based on objective topics aiming to discover common patterns of user opinions from their textual statements automatically or semi-automatically, it will extract opinion from subjective locations.

Related Content

. © 2020. 58 pages.
. © 2020. 52 pages.
. © 2020. 10 pages.
. © 2020. 14 pages.
. © 2020. 33 pages.
. © 2020. 13 pages.
. © 2020. 36 pages.
Body Bottom