Abstract: 

Given a collection of approximately 5000 social media users and 20 million short texts, what can we say about their writing style? In this talk we will be presenting examples with Python and Deep Learning of how to infer a writing style "fingerprints" from large collections of authors and texts.

Bio: 

Kostas joined Argos in 2017 as a Lead Machine Learning engineer. Prior to Argos, he worked at Royal Mail, Mailonline, Pearson and in research; he was involved in a broad range of projects from European FP6 research programs to EdTech, Analytics, Search, Predictive Modelling using Machine Learning and AI. He is interested in Deep Learning, Distributed Computing, Optimisation, Search, Predictive Analytics and Natural Language Processing.