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

Fixing the Future

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תוכן מסופק על ידי Stephen Cass and IEEE Spectrum. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Stephen Cass and IEEE Spectrum או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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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.

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#Tech #News #Tech News #Steven Cherry #Technology #Innovation #Business

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

Fixing the Future

28 subscribers

published לפני 4 שנים

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MP3•בית הפרקים

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.

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.

66 פרקים

#Tech #News #Tech News #Steven Cherry #Technology #Innovation #Business

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