SMI-Based Opinion Analysis of Cloud Services from Online Reviews

  • Emna Ben-Abdallah
  • Khouloud Boukadi
  • Mohamed Hammami
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 736)


Nowadays, online reviews have become one of the most useful sources upon which cloud users can rely on to construct their purchasing decisions. This widespread adoption of online reviews results in nourishing the online opinion-based information. Analyzing and studying this kind of information help considerably in the fastidious task of cloud user decision-making. The contribution of this volume can be divided into two major parts: (i) a new opinion mining based cloud service analysis approach for the cloud service selection purpose. The proposed approach extracts and classifies user opinions from online reviews according to each cloud service property and (ii) an Opinion based cloud service ontology to effectively detect cloud service properties from reviews based on Service Measurement Index (SMI) metrics. To illustrate the proposed approach, we develop some experiments and we present the relevant results.


Cloud computing Opinion mining Social analytic SMI Service property Ontology 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Emna Ben-Abdallah
    • 1
  • Khouloud Boukadi
    • 1
  • Mohamed Hammami
    • 1
  1. 1.Mir@cl LaboratorySfax UniversitySfaxTunisia

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