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Helping AI Detect Emotion

by Michael McLaughlin
written by Michael McLaughlin
Pictures of friends characters, their dialogue, and their emotional sentiment.

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.

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Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.

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