Open AccessTEXT DEFINITIONS OF CLASSIFYING TYPE
Author(s) -
Arkadiy Petrovich Sedykh,
Elena I. Bezrukova,
Nelly L. Krivchikova,
Natalia B. Kudryavtseva,
V. Naydenova,
Tatia. Skokova,
Sophia A. Moisseeva
Publication year - 2019
Publication title -
humanities and social sciences reviews
Language(s) - English
Resource type - Journals
ISSN - 2395-6518
DOI - 10.18510/hssr.2019.75103
Subject(s) - novelty , computer science , originality , relation (database) , type (biology) , artificial intelligence , information retrieval , natural language processing , transformation (genetics) , data science , data mining , psychology , creativity , social psychology , ecology , biochemistry , chemistry , biology , gene
Purpose: This article deals with the detailed consideration of definitional periphrases of classifying type as the textual modification of generic and specific classic definition; the essence of definitional relations of such type of text definitions is revealed.
Methodology: The main method used in the article is the method of definitional analysis. The intuitive-logical, inductive-empirical, deductive-synthetic method, component analysis method and transformation method were also used. The study was based on examples from fiction, educational, popular science literature, as well as collections of quotes and aphorisms.
Result: Moreover, the detailed analysis of logical-semantic relations supplementing the definitional relations in these definitional periphrases is given. Classification relations are described especially thoroughly. The main attention is focused on revealing the types of definitional classifying predictors, on the basis of which modified text definitions are formed.
Applications: This research can be used for universities, teachers, and students.
Novelty/Originality: In this research, the model of Text Definitions of Classifying Type is presented in a comprehensive and complete manner.