MACHINE LEARNING METHODS APPLIED TO THE AUTOMATIC EXTRACTION OF METADATA FROM ACADEMIC ARTICLES
Abstract
The automatic extraction of metadata using machine learning algorithms is covered in length in this article, along with supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and other learning techniques. In addition, methods for clustering and dimensionality reduction in unsupervised learning, semi-supervised learning, reinforcement learning, Naive Bayes classifiers, Bayesian trust networks, nearest neighbour classifiers, logistic regression, support vector machines, artificial neural networks, decision trees, decision rules, logistic regression, nearest neighbour classifiers, linear discriminant functions, and support vector machines are discussed.
References
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