Semi-supervised Learning for Affective Common-Sense Reasoning

@article{Oneto2016SemisupervisedLF,
  title={Semi-supervised Learning for Affective Common-Sense Reasoning},
  author={Luca Oneto and Federica Bisio and Erik Cambria and Davide Anguita},
  journal={Cognitive Computation},
  year={2016},
  volume={9},
  pages={18-42}
}
Big social data analysis is the area of research focusing on collecting, examining, and processing large multi-modal and multi-source datasets in order to discover patterns/correlations and extract information from the Social Web. This is usually accomplished through the use of supervised and unsupervised machine learning algorithms that learn from the available data. However, these are usually highly computationally expensive, either in the training or in the prediction phase, as they are… CONTINUE READING
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