THE USE OF MACHINE LEARNING METHODS IN THE AUTOMATIC EXTRACTION OF METADATA FROM ACADEMIC ARTICLES

Main Article Content

Rashid Turgunbaev
Botir Elov

Abstract

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 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.

Article Details

How to Cite
Rashid Turgunbaev, & Botir Elov. (2021). THE USE OF MACHINE LEARNING METHODS IN THE AUTOMATIC EXTRACTION OF METADATA FROM ACADEMIC ARTICLES. International Journal of Innovations in Engineering Research and Technology, 8(12), 72–79. https://doi.org/10.17605/OSF.IO/QB5PZ
Section
Articles