An Automated Cloud-based Big Data Analytics Platform for Customer Insights

Han, Haleem, MS, Sobeih, T, Liu, Y, Soroka, A and Han, L (2018) An Automated Cloud-based Big Data Analytics Platform for Customer Insights. In: 10th IEEE International Conference on Cyber, Physical and Social Computing, 21 June 2017 - 23 June 2017, Exeter, UK.

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Official URL: http://ieeexplore.ieee.org/document/8276766/

Abstract

Product reviews have a significant influence on strategic decisions for both businesses and customers on what to produce or buy. However, with the availability of large amounts of online information, manual analysis of reviews is costly and time consuming, as well as being subjective and prone to error. In this work, we present an automated scalable cloud-based system to harness big customer reviews on products for gaining customer insights through data pipeline from data acquisition, analysis to visualisation in an efficient way. The experimental evaluation has shown that the proposed system achieves good performance in terms of accuracy and computing time.

Item Type:	Conference or Workshop Item (Paper)
Published Proceedings:	Conference on International Conference on Cyber, Physical and Social Computing (CPSCom)
Peer-reviewed:	Yes
Date Deposited:	12 Feb 2018 14:26
Publisher:	IEEE
Additional Information:	This is an Author Accepted Manuscript of a paper presented at CPSCom 2017 and published in the IEEE Proceedings, copyright IEEE.
Divisions:	Faculties > Arts and Humanities Faculties > Science and Engineering Research Centres > Centre for Advanced Computational Science
URI:	https://e-space.mmu.ac.uk/id/eprint/619537
DOI:	https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.48

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