Artwork

Content provided by Stephen Cass and IEEE Spectrum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Cass and IEEE Spectrum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

It’s Easy for Computers to Detect Sarcasm, Right?

19:29
 
Share
 

Manage episode 296420192 series 2805647
Content provided by Stephen Cass and IEEE Spectrum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Cass and IEEE Spectrum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

There’s no question that computers don’t understand sarcasm—or didn’t, until some researchers at the University of Central Florida starting them on a path to learning it.

Software engineers have been working on various flavors of sentiment analysis for quite some time. Back in 2005, I wrote an article in Spectrum about call centers automatically scanning conversations for anger—either by the caller or the service operator—one of the early use-cases behind messages like “This call may be monitored for quality assurance purposes.” Since then, software has been getting better and batter at detecting joy, fear, sadness, and confidence, and now, finally, sarcasm.

My guest today, Ramya Akula, is a Ph.D. student and a Graduate Research Assistant at the University of Central Florida's Complex Adaptive Systems Laboratory.

  continue reading

66 episodes

Artwork
iconShare
 
Manage episode 296420192 series 2805647
Content provided by Stephen Cass and IEEE Spectrum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Cass and IEEE Spectrum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

There’s no question that computers don’t understand sarcasm—or didn’t, until some researchers at the University of Central Florida starting them on a path to learning it.

Software engineers have been working on various flavors of sentiment analysis for quite some time. Back in 2005, I wrote an article in Spectrum about call centers automatically scanning conversations for anger—either by the caller or the service operator—one of the early use-cases behind messages like “This call may be monitored for quality assurance purposes.” Since then, software has been getting better and batter at detecting joy, fear, sadness, and confidence, and now, finally, sarcasm.

My guest today, Ramya Akula, is a Ph.D. student and a Graduate Research Assistant at the University of Central Florida's Complex Adaptive Systems Laboratory.

  continue reading

66 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide