Jan 20, 2016

Professor David Bamman’s “Sarcasm Detector”

From Quartz

Researchers have developed an extremely effective “sarcasm detector”

By Ian Kar

Sarcasm might be all over the internet, but it’s still hard to recognize. Researchers want to change that.

A new research paper from two professors—David Bamman from UC Berkeley and Noah A. Smith from the University of Washington—says algorithms can figure out if someone is being sarcastic or not, using social media sites like Twitter.

But what makes this project different than others is its focus on contextual information. When people use sarcasm, there’s quite a bit of background knowledge that’s shared between the two. According to the research paper, which Bamman and Smith worked on during their doctoral studies at Carnegie Mellon University, by understanding contextual information—like who wrote the text and if it’s being shared with friends or the general public—it’ll be easier to recognize sarcasm....

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Last updated:

October 4, 2016