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Introducing CALMED: Multimodal Annotated Dataset for Emotion Detection in Children with Autism
Our experience and methods described here, together with the dataset shared, aim to contribute to future research applications of affective computing in ASD, which has the potential to create systems to improve the lives of people with ASD.
A Comparison of Automatic Labelling Approaches for Sentiment Analysis
On the other hand, the accuracy of supervised machine learning models is strongly related to the quality of the labelled data on which they train, and automatic sentiment labelling techniques could reduce the time and cost of human labelling.
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