A big data based smart evaluation system using public opinion aggregation

Robin G. Qiu, Helio Ha, Ramya Ravi, Lawrence Qiu, Youakim Badr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Assessing service quality proves very subjective, varying with objectives, methods, tools, and areas of assessment in the service sector. Customers' perception of services usually plays an essential role in assessing the quality of services. Mining customers' opinions in real time becomes a promising approach to the process of capturing and deciphering customers' perception of their service experiences. Using the US higher education services as an example, this paper discusses a big data-mediated approach and system that facilitates capturing, understanding, and evaluation of their customers' perception of provided services in real time. We review such a big data based framework (Qiu et al., 2015) in support of data retrieving, aggregations, transformations, and visualizations by focusing on public ratings and comments from different data sources. An implementation with smart evaluation services is mainly presented.

Original languageEnglish (US)
Title of host publicationICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
EditorsSlimane Hammoudi, Leszek Maciaszek, Leszek Maciaszek, Michele M. Missikoff, Olivier Camp, Jose Cordeiro, Jose Cordeiro
PublisherSciTePress
Pages520-527
Number of pages8
ISBN (Electronic)9789897581878
DOIs
StatePublished - 2016
Event18th International Conference on Enterprise Information Systems, ICEIS 2016 - Rome, Italy
Duration: Apr 25 2016Apr 28 2016

Publication series

NameICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Volume1

Other

Other18th International Conference on Enterprise Information Systems, ICEIS 2016
CountryItaly
CityRome
Period4/25/164/28/16

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Computer Science Applications

Fingerprint Dive into the research topics of 'A big data based smart evaluation system using public opinion aggregation'. Together they form a unique fingerprint.

Cite this