Deep Text Models To Forecast Reader's Reaction

PROJECT FEELS: DEEP TEXT MODELS FOR PREDICTING THE EMOTIONAL RESONANCE OF NEW YORK TIMES ARTICLES

Presented By Alexander Spangher
Alexander Spangher
Alexander Spangher
Data Scientist at New York Times

Alex has worked as a data scientist at The New York Times since July 2014. His work has primarily involved text modeling for newsroom, product and advertising stakeholders to create advanced recommendation engines, perform automated information retrieval for journalists and sell premium ads. His work has been written about or featured in The New York Times, The Wall Street Journal, on NPR, and in Columbia Journalism Review, and at conferences, and he has earned a Masters in Data Science and a Masters in Journalism from Columbia University.

Presentation Curriculum

PROJECT FEELS: DEEP TEXT MODELS FOR PREDICTING THE EMOTIONAL RESONANCE OF NEW YORK TIMES ARTICLES
59:24
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