Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-05-85-106
DOI: https://dx.doi.org/10.15863/TAS.2020.05.85.106
Language: English
Citation: Kozhevnikov, V. A., & Pankratova, E. S. (2020). Research of the text data vectorization and classification algorithms of machine learning. ISJ Theoretical & Applied Science, 05 (85), 574-585. Soi: http://s-o-i.org/1.1/TAS-05-85-106 Doi: https://dx.doi.org/10.15863/TAS.2020.05.85.106 |
Pages: 574-585
Published: 30.05.2020
Abstract: The article includes information about different classification algorithms and vectorization methods. We give the advantages and disadvantages of classification methods. Also in this paper we observe not only usual classification algorithm, but classification with using neural network, specifically with convolutional neural networks. In addition to description of these methods we discuss metrics which can be used to rate the quality of trained classification models.
Key words: text classification, vectorization, neural networks, machine learning.
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