A team of researchers, including Carnegie Mellon University assistant professor Simon DeDeo, used machine learning to analyze more than 40,000 digitized transcripts from the first two years of debates of the first makeshift French parliament, during the beginning of the revolution.
"The first thing that really came out and surprised us was that you can distinguish left and right not by what they're saying, but by how they're saying it," DeDeo said.
The study found liberal revolutionaries were more likely to use novel turns of phrase to talk about new ideas, and they also did more discussion derailing. "So you have these really charismatic people who are essentially the rudders of revolution," he said. "They're steering this conversation about how to run France into directions that nobody's ever seen."
http://wesa.fm/post/computer-analyzing-parliamentary-speeches-understand-how-french-revolution-started#stream/0
No comments:
Post a Comment
Due to a small but consistent influx of spam, comments will now be checked before publishing. Only egregious spam/illegal/racist crap will be disapproved, everything else will be published.