Researchers from Singapore and North America have published a dataset called MELD (Multimodal Multi-Party Dataset for Emotion Recognition in Conversation) of audio, video, and transcription for 1,400 dialogues from the Friends TV series to help AI recognize emotion. Within the dialogues there are 13,000 statements or questions from over 200 characters. The researchers labeled each utterance as one of seven emotions, such as anger, sadness, or joy, which could help an AI system learn to associate certain word choices and diction with different emotions.
Helping AI Detect Emotion
Michael McLaughlin is a research assistant at the Center for Data Innovation. He previously worked at Oracle and held internships at USA TODAY and in local government. Prior to joining the Center for Data Innovation, Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He is currently pursuing his Master’s in Communication at Stanford University, specializing in Data Journalism.
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