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You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By Meta S. Brown
Oleksandr Pryymak, a data scientist who works at Facebook, grapples with this challenge: how can you quantify surprise? Speaking early Sunday morning to an audience of computing experts at PyData London 2015 , he explained concepts and mathematics that might be used for this purpose. Pryymak’s math is rather esoteric, but it can be applied to common uses. The object is to enable computers to do something we all do every day: identify unusual things and events. He presents the example of detecting newsworthy stories in a social media feed.
The use of computerized mathematical and linguistic methods to analyze written language is known as “text analytics.” These techniques are most often used summarize text, to identify common themes or attitudes expressed in words. Searching for surprise in text is a relatively new and active development in text analytics.
Read the complete article at: Searching For The Smoking Gun With Text Analytics