August 19 to 21 2016, Boston, USA.
Speaker "Frank Evans" Details
Text Modeling with R and Python
The world communicates in text. Our work lives have us treading waist-deep in email, our hobbies often have blogs, our complaints go to Yelp, and even our personal lives are lived out via tweets, Facebook updates, and texts. There is a massive amount of information that can be heard from text — as long as you know how to listen. Learning from large amounts of text data is less a question of will and more a question of feasibility. How do you “read” the equivalent of thousands or even millions of novels in an afternoon?
Frank D. Evans is a Data Scientist with Exaptive. He primarily works with machine learning and feature engineering using big data systems, specializing in unstructured and semi-structured data. His interests span natural language processing, political analysis, and building semi-supervised machine learning applications. Frank has a BS in Quantitative Social Science from St. Gregory’s University and a Master’s Specialization in Data Science from Johns Hopkins University. He is a co-founder and organizer of the Oklahoma City Big Data User Group.
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