Review on recent advances in information mining from big consumer opinion data for product design

J **, Y Liu, P Ji, CK Kwong - … of Computing and …, 2019 - asmedigitalcollection.asme.org
In this paper, based on more than ten years' studies on this dedicated research thrust, a
comprehensive review concerning information mining from big consumer opinion data in …

Cloud-based big data analytics for customer insight-driven design innovation in SMEs

Y Liu, A Soroka, L Han, J Jian, M Tang - International Journal of Information …, 2020 - Elsevier
Fast development of IT and ICT facilitate customers to post a large volume of their concerns
and expectation online, which are widely accepted to be a valuable resource for product …

Develo** insights from the collective voice of target users in Twitter

KP Lee, S Song - Journal of big data, 2022 - Springer
This study develops a pragmatic scheme that facilitates insight development from the
collective voice of target users in Twitter, which has not been considered in the existing …

Predicting user roles from computer logs using recurrent neural networks

A Tuor, S Kaplan, B Hutchinson, N Nichols… - Proceedings of the …, 2017 - ojs.aaai.org
Network and other computer administrators typically have access to a rich set of logs
tracking actions by users. However, they often lack metadata such as user role, age, and …

[PDF][PDF] A Probabilistic Graphical Model for Structured Prediction over Heterogeneous Data

P Ye - 2017 - unsworks.unsw.edu.au
Advances in sensor and instrumentation technology, together with cost reductions and
capacity increases in computing and communication technologies, have led to the rapid …