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Modelling and Data Analysis
2019. Vol. 9, no. 4, 67–79
doi:10.17759/mda.2019090405
ISSN: 2219-3758 / 2311-9454 (online)

Determine the Tonality of of News Media Reports by Conceptual Analysis

 
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Abstract

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.

General Information

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

Journal rubric: Data Analysis

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2019090405

Published

For citation: Khoroshilov, A.A., Kozlovskaya, Y.D., Mussabayev, R.R., Krassovitsky, A.M., Khoroshilov, A.A. (2019). Determine the Tonality of of News Media Reports by Conceptual Analysis. Modelling and Data Analysis, 9(4), 67–79. (In Russ.). https://doi.org/10.17759/mda.2019090405

© Khoroshilov A.A., Kozlovskaya Y.D., Mussabayev R.R., Krassovitsky A.M., Khoroshilov A.A., 2019

License: CC BY-NC 4.0

References

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Information About the Authors

Aleksey A. Khoroshilov, Candidate of Science (Engineering), senior researcher, 27th Central Research Institute of the Ministry of Defense of the Russian Federation, Moscow, Russian Federation, e-mail: alex_khor@mail.ru

Yana D. Kozlovskaya, Student, Institute of Moscow Aviation Institute (National Research University), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-1780-5687, e-mail: yana_kozlovskaia@mail.ru

Rustam R. Mussabayev, Head of the laboratory, Institute of Information and Computational Technologies, Kazakhstan, e-mail: rmusab@gmail.com

Aleksandr M. Krassovitsky, Candidate of Science (Engineering), lead fellow, Institute of Information and Computational Technologies, Kazakhstan, e-mail: akrassovitskiy@gmail.com

Aleksander A. Khoroshilov, Doctor of Engineering, Professor, Professor of the Institute of Computer Science and Applied Mathematics, Department 805 "Mathematical Cybernetics", Moscow Aviation Institute (national research university) (MAI), Senior Researcher, All-Russian Institute of Scientific and Technical Information of the Russian Academy of Sciences, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-6641-3105, e-mail: khoroshilov@mail.ru

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