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).

* This article was originally published here