Russian Psychological Issues
JournalsTopicsAuthorsEditor's Choice For AuthorsAbout PsyJournals.ruContact Us

Modelling and Data Analysis

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2219-3758

ISSN (online): 2311-9454


License: CC BY-NC 4.0

Started in 2011

Published 4 times a year

Free of fees
Open Access Journal


Determine the Tonality of of News Media Reports by Conceptual Analysis 106

Khoroshilov A.A.
Doctor of Engineering, Lead Fellow of the Federal research center «Informatics and management», Russian Academy of Sciences, Moscow, Russia

Kozlovskaya Y.D.
student, Institute of Moscow Aviation Institute (National Research University), Moscow, Russia

Mussabayev R.R.
Head of the laboratory, Institute of Information and Computational Technologies

Krassovitsky A.M.
PhD in Engineering, lead fellow, Institute of Information and Computational Technologies

Khoroshilov A.A.
PhD in Engineering, Senior Research, Central Research Institute of the Ministry of Defence of the Russian Federation

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.

Keywords: conceptual analysis, predicate-actant structure, tonality of texts, tonal dictionary, tonality modifiers, automatic establishment of assessment of tonality of texts

Column: Data Analysis


For Reference

  1. Pazel’skaya A.G., Solov’ev A.N. Metod opredeleniya emotsii v tekstakh na russkom yazyke.
  2. Klekovnikova M.V., Kotel’nikov E.V. Metod avtomaticheskoi klassifi katsii tekstov po tonal’nosti, osnovannyi na slovare emotsional’noi leksiki.
  3. Posevkin R.V., Bessmertnyi I.A. Primenenie sentiment analiza tekstov dlya otsenki obshchestvennogo mneniya. Nauchno-tekhnicheskii vestnik informatsionnykh tekhnologii, mekhaniki i optiki, № 1, tom 15, 2015.
  4. Ermakov S.A., Ermakova L.M. Metody otsenki emotsional’noi okraski tekstov. Vestnik permskogo universiteta. Vyp. (1) 9, 2012.
  5. Khoroshilov Al-dr. A., Nikitin Yu.V., Khoroshilov Al-ei. A., Budsko V .I. Avtomaticheskoe sozdanie formalizovannogo predstavleniya smyslovogo soderzhaniya nestrukturirovannykh tekstovykh soobshchenii SMI i sotsial’nykh setei // Sistemy vysokoi dostupnosti, № 3, tom.10, 2014.
  6. Kalinin Yu.P., Khoroshilov Al-dr. A., Khoroshilov Al-ei. A. Sovremennye tekhnologii avtomatizirovannoi obrabotki tekstovoi informatsii // Sistemy vysokoi dostupnosti, № 2, tom.11, 2015.
  7. Budzko V.I., Kalinin Yu.P., Kozerenko E.B., Khoroshilov A.A., Khoroshilov A.A. Mashinnaya grammatika russkogo yazyka // Sistemy vysokoi dostupnosti, № 3, tom.13, 2017.
  8. Kan A.V., Revina V.D., Rusnak V.I., Khoroshilov Al-dr A., Khoroshilov Al-sei A. Avtomaticheskoe formirovanie sintaksicheskoi modeli yazyka dlya zadach mashinnogo perevoda i informatsionnogo poiska. Sb. «Nauchno-tekhnicheskaya informatsiya», Ser. 2, № 12, VINITI, 2018.
comments powered by Disqus

© 2007–2020 Portal of Russian Psychological Publications. All rights reserved in Russian

Publisher: Moscow State University of Psychology and Education

Catalogue of academic journals in psychology & education MSUPE

Creative Commons License

RSS Psyjournals at facebook Psyjournals at Twitter Psyjournals at Youtube ??????.???????