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Livestream: Organizing Text Data in a Meaningful and Innovative Way

August 30, 2017 @ 9:30 pm - 10:30 pm

NOTE: Please sign-in at via the Livestream link below. Thank you! 

Topic extraction / segmentation has received some attention as a research topic and is an active part of NLP and NLU, however it still has some wrinkles that need to be ironed out before it can reach its potential as a tool for the business world. In any case, with text data being in abundance in a variety of industries, the value of organizing this kind of data in an efficient manner is unquestionable.

In this talk we explore a couple of innovative ways to tackle text data, modeling the whole process as an unsupervised learning problem. The data of this case study stems from a collection of blog posts from over 19K users of Blogger. We have no a priori knowledge of what this corpus is about, so no assumptions about the topic structure are made. Also, the whole process is entirely deterministic.

About the Speaker

Dr. Zacharias Voulgaris was born in Athens, Greece. He studied Production Engineering and Management at the Technical University of Crete, shifted to Computer Science through a Masters in Information Systems & Technology (City University of London), and then to Data Science through a PhD on Machine Learning (University of London). He has worked at Georgia Tech as a Research Fellow, at an e-marketing startup in Cyprus as an SEO manager, and as a Data Scientist in both Elavon (GA) and G2 (WA). He also was a Program Manager at Microsoft, on a data analytics pipeline for Bing. Currently he is the CSO of MAXset LLC and the CTO of a data science startup in London, UK.

Zacharias has authored two other books on data science (through Technics Publications) and several scientific articles. His first book, Data Scientist – The Definitive Guide to Becoming a Data Scientist, has been translated into Korean and Chinese. His second book, Julia for Data Science, was the first book on the topic, and the only book exclusively on Julia published outside the Packt publishing house. He has also reviewed a number of data science books (mainly on Python and R) and had developed a number of new heuristics, functions, and processes for data analytics. Apart from data science, he also has a passion for A.I. technologies, literature, and music.

About Metis 

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. 

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us at https://thisismetis.c….

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Metis Code of Conduct 

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

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August 30, 2017
9:30 pm - 10:30 pm
Event Category:


Chicago, IL us


Metis: Chicago Data Science