Year: 2021
Type: article
Abstract: This article discusses the algorithms that can be used in the study and analysis of symbols to determine the genre of texts. There are differences in defining the genre of texts. Algorithm is also defined by describing the text, removing unnecessary characters, leaving only the text, and comparing it with the database. The article describes a practical method of automatic recognition of the text genre based on all parameters. Comparing the logistics regression, solution tree, random forest, MLPClassifier, AdaBoostClassifier, svm, GaussianNB algorithms, the choice of the most important parameters for the texts was considered. Defining the genre of texts is now relevant in all areas of the information society.
Authors: S. Sh. Shanshar, I. M. Ualiyeva
Institution: Al-Farabi Kazakh National University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W3153808894