Towards a Modular Ontology for Cloud Consumer Review Mining

Document Type

Book Chapter

Source of Publication

Lecture Notes in Computer Science

Publication Date

8-7-2021

Abstract

Nowadays, online consumer reviews are used to enhance the effectiveness of finding useful product information that impacts the consumers’ decision-making process. Many studies have been proposed to analyze these reviews for many purposes, such as opinion-based recommendation, spam review detection, opinion leader analysis, etc. A standard model that presents the different aspects of online review (review, product/service, user) is needed to facilitate the review analysis task. This research suggests SOPA, a modular ontology for cloud Service OPinion Analysis. SOPA represents the content of a product/service and its related opinions extracted from the online reviews written in a specific context. The SOPA is evaluated and validated using cloud consumer reviews from social media and using quality metrics. The experiments revealed that the SOPA-related modules exhibit a high cohesion and a low coupling, besides their usefulness and applicability in real use case studies.

ISBN

978-3-030-82136-4

Publisher

Springer Nature

Volume

12815

First Page

381

Last Page

394

Disciplines

Computer Sciences

Keywords

Modular ontology, Cloud services, Online reviews, Social media, Opinion analysis

Scopus ID

85113731246

Indexed in Scopus

yes

Open Access

no

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