Premium
CROSA: Context‐aware cloud service ranking approach using online reviews based on sentiment analysis
Author(s) -
BenAbdallah Emna,
Boukadi Khouloud,
Lloret Jaime,
Hammami Mohamed
Publication year - 2019
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5358
Subject(s) - cloud computing , ranking (information retrieval) , computer science , service (business) , context (archaeology) , variety (cybernetics) , selection (genetic algorithm) , the internet , world wide web , data science , information retrieval , artificial intelligence , business , marketing , paleontology , biology , operating system
Summary The explosion of cloud services over the Internet has raised new challenges in cloud service selection and ranking. The existence of a great variety of offered cloud services made the users think deeply about the most appropriate services that meet their needs and at the same time are adaptable to their context. Nowadays, online reviews are used for the purpose of enhancing the effectiveness of finding useful product information, having impact on the consumers' decision‐making process. In this context, the current paper suggests a context‐aware cloud service ranking approach using online reviews and based on sentiment analysis (CROSA). Its main objective is to ease the cloud service selection. The CROSA approach analyzes sentiments associated with service measurement index (SMI)–based service properties for each alternative cloud service. Moreover, it enhances the cloud service decision‐making by supporting fuzzy sentiments through the intuitionistic fuzzy set theory and PROMETHEE II. The experimental results presented in this paper show that this approach is efficient and performing.