Episode 4: Diving in Deep to the Data: Text Mining and Deep Transitions

What can over 3.5 million pages of the New York Times, and 2000 issues of Scientific American, tell us about the social changes witnessed from 1850 to the present day? In this week’s episode, Diving in Deep to the Data: Text Mining and Deep Transitions, Frederique Bone and Daniele Rotolo tell us how they converted these gigantic archives of American publications into a usable database.

These records of public discourse offer a new understanding of the emergence and evolution of technologies and industrial processes, and their closely linked socio-technical rules, as they materialised. Listen to this episode and find out what they uncovered, the challenges they faced, and how technology could have led us a very unfamiliar version of the X Factor.

Episode 4: Diving in Deep to the Data: Text Mining and Deep Transitions
Deep Transitions Podcast Series

 
 
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