The AI sarcasm detector developed by researchers focuses on tone of voice and emojis, conveying emotions for better analysis and applications like AI virtual assistants.
The study used audio recordings analyzed for pitch, speaking rate, and emotions, then transcribed into text segments labeled with emojis for emotional intent.
The approach combines auditory and textual information with emoticons for a deeper understanding, aiming for a more comprehensive analysis of sarcasm and emotions.
Future goals for the algorithm include recognizing more sarcastic expressions, gestures, and incorporating a wider range of languages for better detection.
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