Abstract
Perception of social cues is a fundamental communicative skill that can be hampered by hearing and cognitive disorders. Understanding slang and sarcastic intent is often difficult in verbal communication, particularly for individuals who struggle with the perception of social cues. Misinterpretation of slang terms can cause discomfort or social isolation. Sarcasm is particularly difficult to recognize due to its inherently ambiguous and context-dependent nature. We have identified two problems of particular interest in social assistive technologies – slang word sentiment assessment and sarcasm detection. We propose combining a slang sentiment analysis model with a speech emotion analysis model to create an assistive tool, Chat-Box, which will detect social cues such as sarcasm, slang, and sentiment.
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