Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis

Analysis of statistical methods for stable combinations determination of keywords identification

“…Stemming is the process of reducing the word to the stem by rejecting it auxiliary parts, such as an inflexion or suffix. For Ukrainian texts in MA, it is best to use combinations of approaches such as procedural, tabular and statistical stemming [32]. In the procedural approach of MA, the emphasis is placed on analysing words of the dictionaries of stems and full forms dictionaries (FFDs).…”

Development of the linguometric method for automatic identification of the author of text content based on statistical analysis of language diversity coefficients

“…-of the word frequency and its rank in the vocabulary: the more frequent a word, the higher its rank at F×i=const, where F is the word frequency in the frequency vocabulary, і is the rank of its word [34];…”

“…Some major quantitative characteristics of a language are very simple. For example, the difference between the number of words (10 4 -10 5 ), the number of morphemes (several thousand), the number of syllables (from several hundred to several thousand) and the number of phonemes (from 10 to 80) [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. There is an assumption that such ratios are associated with the property of human memory [39].…”

Analysis of the developed quantitative method for automatic attribution of scientific and technical text content written in Ukrainian

“…-stylistic (genre [35], general structure of the text [36], plot for literary works [37], characteristic pictorial tools (metaphor, irony, allegory, hyperbole, comparison) [38], stylistic figures (gradation, antithesis, rhetorical questions, etc.) [39], other linguistic techniques.…”