Use of set theory in comparative logical methods of selecting texts on Islamic content in network resources

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The procedure of identifying texts on Islamic content in network resources can be carried out using methods of comparative logic «check on entry» and «intersection of sets.» For any language the pre-assembled corpus of precedent texts on Islamic content is to be joint. The list of key concepts is extracted from these corpora with the help of statistical methods. The list of the selected keyword appears in the form of a set. The entity of key concepts can be represented as a database and can be used as a reference set A. The texts under expertise will be presented as a set of concepts B. The set A is compared with the set B. The variety of the set B elements from the set A, the nature and degree of the intersection of the two sets allows us to identify the text as having an Islamic character. Python programming language provides great opportunities for working with strings, tuples, dictionaries, and sets. In the process of monitoring network resources and searching for texts on Islamic content the methods outlined in this article, as well as a database with the reference lists of keywords can be used.

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Язык python, information extremism, forensic linguistic examination, network resources, monitoring network resources, comparative statistical methods, python language, sets, linguistic resources, precedent texts, islam

Короткий адрес: https://sciup.org/147154017

IDR: 147154017   |   DOI: 10.14529/ling160304

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