Analysis of statistical methods for stable combinations determination of keywords identification

Design of the architecture of an intelligent system for distributing commercial content in the internet space based on SEO-technologies, neural networks, and Machine Learning

“…Paper [3] found that up to 40 % of visitors usually use the search feature on a Web-resource, thereby demonstrating their intentions to buy a product using its title or code [8]. The home page and search page on a Web-resource are the best positions to place blocks with recommendations [9].…”

Development of the quantitative method for automated text content authorship attribution based on the statistical analysis of N-grams distribution

“…Papers [1][2][3]28] show the results of the studies of language and speech material on a representative array of texts. This should be a homogeneous array (body) of certain units, that is, the general totality (GT) [3].…”

“…Another reason is the existence of insufficient statistics for the formation of conclusions due to the fact that the authors in this direction rarely write papers individually, and in some areas, works are generally rarely written cooperatively. An option to overcome the corresponding difficulties, when the overall study of the GT is impossible, is sampling and the formation of a set of parameters for the corresponding analysis [1][2][3]30]. All this gives grounds to argue that it is appropriate to conduct research dedicated to the textual content authorship attribution based on statistical analysis of the distribution of characteristics of the author's speech with a sufficient number of data samples.…”

“…Due to the increasing availability and distribution of the text content in the Internet, the degree of importance of using automatic methods of text content analysis is increasing [1]. The tasks of content analysis include the problems of classification and clustering of text-based publications according to various criteria, for example, genre, epoch of writing, format (a novel, an essay, and a scientific article), emotional coloration, style of speech, as well as the problem of text authorship attribution [2]. With the simplification of access to various data, expanding the ability of finding, copying and distributing information in the Internet, the problem of the authorship attribution is becoming relevant [3].…”

“…For this reason, it is necessary to analyze the applicability of such mathematical apparatus as the distribution of frequencies of different languages simultaneously with other techniques in solving the problem of attribution of authorship of texts with different lengths and written in different speech styles [13]. The methods for authorship attribution for the Ukrainian-language text content of the scientific and technical area are proposed and studied in papers [1][2][3][4][5][6][7]. Various algorithms can be used to implement these methods [14], including quantitative [15].…”