CruzAffect: a feature-rich approach to characterize happiness

A team of researchers at UC Santa Cruz have recently developed a new machine learning approach to characterize happiness, called CruzAffect. Their approach, presented in a paper pre-published on arXiv, can be applied to different models for affective content classification, including both traditional classifiers and deep learning convolutional neural networks (CNN).

from News on Artificial Intelligence and Machine Learning https://ift.tt/2ESHbKP

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