Machine learning and its use in the automatic extraction of metadata from academic articles
Keywords:
extraction, machine learning, metadata, reinforcement learning, semi-supervised learning, supervised learning, unsupervised learningAbstract
This article provides detailed information on machine learning processes, learning methods, supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and the use of machine learning algorithms in the automatic extraction of metadata. Classification and regressive types of supervised learning, including decision trees, decision rules, Naive Bayes classifiers, Bayesian trust networks, nearest neighbor classifiers, linear discriminant functions, logistic regression, support vector machines, artificial neural networks, clustering and dimensionality reduction methods of unsupervised learning, semi-supervised learning, and reinforcement learning methods are also discussed.
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