Paper Info
Title
Towards A Modular Ontology For Cloud Consumer Review Mining
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.
Year
DOI
Venue
2021
10.1007/978-3-030-82136-4_31
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT I
Keywords
DocType
Volume
Modular ontology, Cloud services, Online reviews, Social media, Opinion analysis
Conference
12815
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Emna Ben Abdallah100.68
Khouloud Boukadi214527.98
Rima Grati392.92