An automated cloud-based big data analytics platform for customer insights
conference contributionposted on 11.03.2019 by Liangxiu Han, Muhammad Salman Haleem, Tam Sobeih, Ying Liu, Anthony Soroka, Lianghao Han
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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 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.
This work forms part of the EPSRC RECODE Consumer Goods, Big Data and Re-Distributed Manufacturing (EP/M017567/1) Redistributed Manufacturing Network.
- Computer Science