Thursday 21 January 2016
Twitter is a place filled with #content. And sometimes (read: frequently), that #content also has at least tinge of #sarcasm. So it’s no surprise that two computer scientists found away to use Twitter’s proclivity for dry humor to help teach computers to identify when people are being sarcastic over text. In the paper, titled “Contextualized Sarcasm Detection on Twitter,” researchers said that they trained their computers to detect sarcasm based on a variety of factors, including keywords ( “clearly,” “shocked,” “gasp”) as well as hyperbole (“really”) and even hasthtags like “#lol” and, yes, “#sarcasm.” The computers also analyzed for a variety…
This story continues at The Next Web
