2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET) 2016
DOI: 10.1109/tcset.2016.7452160
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Linguistic analysis of textual commercial content for information resources processing

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Cited by 29 publications
(17 citation statements)
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“…Linguo-statistic fundamentals for the implementation of study for the purpose of text attribution include [3,[18][19][20][21][22][23][24]:…”
Section: Methods Of Determining Style Of the Text Content's Authormentioning
confidence: 99%
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“…Linguo-statistic fundamentals for the implementation of study for the purpose of text attribution include [3,[18][19][20][21][22][23][24]:…”
Section: Methods Of Determining Style Of the Text Content's Authormentioning
confidence: 99%
“…-anchor words method (calculation of total frequency of usage and finding percentage composition of syntactic words [18][19][20][21][22]: prepositions, conjunctions, particles); -punctuation marks method (calculation only of the number of internal and external punctuation marks); -words method (calculation only of words of a certain length); -sentences method (calculation only of sentences of a certain length); -syntactical method (calculation of punctuation marks, words and sentences of a certain length);…”
Section: Methods Of Determining Style Of the Text Content's Authormentioning
confidence: 99%
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“…With the cursor over a word, there appears the notion to which the word refers. For SA of Ukrainian-language texts, such information resources do not exist [39][40][41][42]. Moreover, the SA process itself is rather cumbersome for Ukrainian-language content [43][44][45][46].…”
Section: Attributive Tree Tables Of Objectsmentioning
confidence: 99%
“…This is realized through the results of stemming. We analyze inflexions and work only with those words, the inflexions of which correspond to adjectives and nouns (in Ukrainian, adjectives and nouns do not belong to the verb group) [13].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%