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The Productive Scholar: Risk in Media Discourse: An Introduction to Topic Modeling with R and Python

Topic: Risk in Media Discourse: An Introduction to Topic Modeling with R and Python461972367(1)
Speaker: Manish Nag

Time: Thursday, April 10, 12:00pm – 1:00pm
Location: New Media Center (NMC), 130 Lewis Library, First Floor

Lunch will be provided. To register for this session: http://bit.ly/Risk-TM
(Registration is not required for attendance, however refreshments may be limited.)

Amidst global concerns over financial markets, terrorism, and outbreaks of disease, the term “risk” pervades contemporary Western media discourse. Manish Nag’s dissertation is interested in the overall landscape of risk in contemporary news media discourse, using the full text of the New York Times from 1987-2006. What are the predominant threads of discourse related to risk, how does this discourse grow and change over time?  Manish’s presentation presents how topic modeling can be used to help answer these questions.

Manish Nag is a Doctoral Candidate in Sociology. His research seeks to understand the global landscape of media discourse on global risk, as well as change and resilience in global networks of people, goods and ideas. His research utilizes mapping, data visualization, the analysis of text, and social network analysis. Manish received his BA in Computer Science from Brown University, and has worked as a software engineer, entrepreneur, and manger prior to his graduate work.

Presentation co-sponsored with Digital Humanities Initiative at Princeton (DHI).