An automated cloud-based big data analytics platform for customer insights

Han, Liangxiu, Haleem, Muhammad Salman, Sobeih, Tam, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Soroka, Anthony ORCID: https://orcid.org/0000-0002-9738-9352 and Han, Lianghao 2018. An automated cloud-based big data analytics platform for customer insights. Presented at: The Second International Symposium on Big Data and Smart Sustainable Society (Bigdata-2017), Exeter, UK, 21-23 June 2017. Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017 IEEE International Conference on. IEEE, pp. 287-292. 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.48

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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)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	9781538630679
Related URLs:	Organisation
Date of First Compliant Deposit:	10 July 2017
Date of Acceptance:	27 April 2017
Last Modified:	05 Nov 2024 22:16
URI:	https://orca.cardiff.ac.uk/id/eprint/102251

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