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Determine the Tonality of of News Media Reports by Conceptual Analysis
Author(s) -
А. А. Khoroshilov,
Y.D. Kozlovskaya,
Rustam Mussabayev,
A.M. Krassovitsky,
A.A. Khoroshilov
Publication year - 2019
Publication title -
modelling and data analysis
Language(s) - English
Resource type - Journals
eISSN - 2311-9454
pISSN - 2219-3758
DOI - 10.17759/mda.2019090405
Subject(s) - tonality , computer science , correctness , set (abstract data type) , operability , software , event (particle physics) , vagueness , predicate (mathematical logic) , ambiguity , task (project management) , natural language processing , information retrieval , artificial intelligence , algorithm , engineering , software engineering , programming language , art , musical , physics , quantum mechanics , visual arts , fuzzy logic , systems engineering
The article describes the solution of the task of creating linguistic tools and the methodology of automatic determination of the tonality of news reports related to the quality of life of an ordinary citizen of the Republic of Kazakhstan. The approach for solving the problem was defined, software and methods of automated creation of object dictionaries and evaluation predicate dictionaries, as well as evaluation measure modifier dictionaries were developed. The experiment confirmed the correctness of the proposed methodology for assessing events covered in news reports and the operability of the software complex. This technique, with appropriate selection of event assessment objects, can be used in creating tonal portraits of specific authors on the set of their publications, as well as tonal portraits of various news aggregates on the set of events they cover in a particular time interval.

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