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Stats + Stories: Analyzing Art Through Text Mining

Julia Silge is a data scientist at Stack Overflow, with a PhD in astrophysics and an abiding love for Jane Austen. She is both an international speaker and a real-world practitioner focusing on data analysis and machine learning practice.
via Stats and Stories

WYSO is partnering with Stats and Stories, a podcast produced at Miami University.

Get twenty individuals who study language, writing or media in a room and you're likely to get twenty different approaches to the subject. It could be anything from a quantitative content analysis to critical deconstruction of a text. Some scholars though are approaching the Study of Language and media as data science, mining texts for data that help them explain how a creator understood their world. Text mining and data science is the focus of this episode of Stats and Stories, where we explore the statistics behind the stories and the stories behind the statistics. Rosemary Pennington is joined by regular panelists John Bailer, chair of Miami statistics department and Richard Campbell of Media, Journalism and Film. Their guest is Julia Silge, a data scientist at Stack Overflow.

Stats and Stories is a partnership between Miami University's Departments of Statistics and Media, Journalism and Film and the American Statistical Association. You can follow us on Twitter or iTunes. If you'd like to share your thoughts on our program, send your e-mail to statsandstories@miamioh.edu and be sure to listen for future editions of Stats and Stories where we discuss the statistics behind the stories and the stories behind the statistics.  

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