A big data based smart evaluation system using public opinion aggregation

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

doi:10.5220/0005867805200527

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 proceeding › Conference contribution

3 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 language	English (US)
Title of host publication	ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Editors	Slimane Hammoudi, Leszek Maciaszek, Leszek Maciaszek, Michele M. Missikoff, Olivier Camp, Jose Cordeiro, Jose Cordeiro
Publisher	SciTePress
Pages	520-527
Number of pages	8
ISBN (Electronic)	9789897581878
DOIs	https://doi.org/10.5220/0005867805200527
State	Published - 2016
Event	18th International Conference on Enterprise Information Systems, ICEIS 2016 - Rome, Italy Duration: Apr 25 2016 → Apr 28 2016

Publication series

Name	ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Volume	1

Other

Other	18th International Conference on Enterprise Information Systems, ICEIS 2016
Country/Territory	Italy
City	Rome
Period	4/25/16 → 4/28/16

All Science Journal Classification (ASJC) codes

Information Systems and Management
Computer Science Applications

Access to Document

10.5220/0005867805200527

Cite this

Qiu, R. G., Ha, H., Ravi, R., Qiu, L., & Badr, Y. (2016). A big data based smart evaluation system using public opinion aggregation. In S. Hammoudi, L. Maciaszek, L. Maciaszek, M. M. Missikoff, O. Camp, J. Cordeiro, & J. Cordeiro (Eds.), ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems (pp. 520-527). (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems; Vol. 1). SciTePress. https://doi.org/10.5220/0005867805200527

Qiu, Robin G. ; Ha, Helio ; Ravi, Ramya et al. / A big data based smart evaluation system using public opinion aggregation. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. editor / Slimane Hammoudi ; Leszek Maciaszek ; Leszek Maciaszek ; Michele M. Missikoff ; Olivier Camp ; Jose Cordeiro ; Jose Cordeiro. SciTePress, 2016. pp. 520-527 (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems).

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title = "A big data based smart evaluation system using public opinion aggregation",

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.",

author = "Qiu, {Robin G.} and Helio Ha and Ramya Ravi and Lawrence Qiu and Youakim Badr",

note = "Publisher Copyright: Copyright {\textcopyright} 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 18th International Conference on Enterprise Information Systems, ICEIS 2016 ; Conference date: 25-04-2016 Through 28-04-2016",

year = "2016",

doi = "10.5220/0005867805200527",

language = "English (US)",

series = "ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems",

publisher = "SciTePress",

pages = "520--527",

editor = "Slimane Hammoudi and Leszek Maciaszek and Leszek Maciaszek and Missikoff, {Michele M.} and Olivier Camp and Jose Cordeiro and Jose Cordeiro",

booktitle = "ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems",

}

Qiu, RG, Ha, H, Ravi, R, Qiu, L & Badr, Y 2016, A big data based smart evaluation system using public opinion aggregation. in S Hammoudi, L Maciaszek, L Maciaszek, MM Missikoff, O Camp, J Cordeiro & J Cordeiro (eds), ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, vol. 1, SciTePress, pp. 520-527, 18th International Conference on Enterprise Information Systems, ICEIS 2016, Rome, Italy, 4/25/16. https://doi.org/10.5220/0005867805200527

A big data based smart evaluation system using public opinion aggregation. / Qiu, Robin G.; Ha, Helio; Ravi, Ramya et al.
ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. ed. / Slimane Hammoudi; Leszek Maciaszek; Leszek Maciaszek; Michele M. Missikoff; Olivier Camp; Jose Cordeiro; Jose Cordeiro. SciTePress, 2016. p. 520-527 (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Qiu, Robin G.

AU - Ha, Helio

AU - Ravi, Ramya

AU - Qiu, Lawrence

AU - Badr, Youakim

PY - 2016

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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SP - 520

EP - 527

BT - ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems

A2 - Hammoudi, Slimane

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ER -

Qiu RG, Ha H, Ravi R, Qiu L, Badr Y. A big data based smart evaluation system using public opinion aggregation. In Hammoudi S, Maciaszek L, Maciaszek L, Missikoff MM, Camp O, Cordeiro J, Cordeiro J, editors, ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. SciTePress. 2016. p. 520-527. (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems). doi: 10.5220/0005867805200527

A big data based smart evaluation system using public opinion aggregation

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