Emotion Recognition forAffective UserInterfaces using Natural Lan- guageDialogs
Cheongjae LeeandGaryGeunbae Lee · 2007
Inareal world, emotion plays asignificant role in rational actions inhumancommunication. Giventhepotential andimportance ofemotions, inrecent years, therehasbeen growing interest inthestudyofemotions toimprove thecapa- bilities ofcurrent human-robot interaction. Theemotion rec- ognition fromtextmodality isanecessary steptodevelop af- fective conversational interfaces. Inthis paper, wepresent an effective hybrid approach toimprove theperformance ofemo- tionrecognition fromtextbycombining linguistic, pragmatic, andkeyword spotting features.