Publications
Talk · International Conference on Information Science and Communications Technologies · November 3, 2021
Classification Based On Decision Trees And Neural Networks
Nilufar A’loxanovna Niyozmatova, Narzillo Mamatov, Otaxonova Bahrixon Ibragimovna, Abdurashid Samijonov, Keulimjay Erejepov
Abstract
The article is devoted to the approach of classification of texts by decision trees and neural networks, in which the quantitative properties of texts are formed as a set. A detailed description of the approaches and examples of text classification are given. Each approach is compared with classification performance, number of authors, characteristics, and parameters chosen.
Text and Document Classification TechnologiesData Mining and Machine Learning ApplicationsTopic Modelingtext classificationdecision treeartificial neural networks
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