The project had a goal to provide working implementation of psycho-demographic profiling algorithm which can be used to profile Internet users based on digital footprints they leave by using various Internet services. We provide full source code implementation in R programming language of the algorithms described in corresponding research paper.
We have used variety of machine learning and data mining tools in order to process input data corpus and to create artificial neural networks for multivariate regression analysis.
Iaroslav Omelianenko
CTO/Research Director at NewGround LLC
My research interests include genetic algorithms/neuroevolution, synthetic cognitive systems, smart environment, and cooperative robotics.
Publications
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FTC 2017, Vancouver, Canada.
Applying Deep Machine Learning for Psycho-Demographic Profiling of Internet Users using O.C.E.A.N. Model of Personality. Proceedings of the 2017 Future Technologies Conference (SAI) – IEEE, Vancouver, Canada, ISBN (USB) 978-1-5386-1744-1, pp. 375-384,
2017.
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Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality..
arXiv:1703.06914,
2017.
