Towards a Modular Ontology for Cloud Consumer Review Mining
Source of Publication
Lecture Notes in Computer Science
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.
Modular ontology, Cloud services, Online reviews, Social media, Opinion analysis
Abdallah, Emna Ben; Boukadi, Khouloud; and Grati, Rima, "Towards a Modular Ontology for Cloud Consumer Review Mining" (2021). All Works. 4444.
Indexed in Scopus