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Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach. / Chizhik, Anna V. ; Sergeyev, Dmitry A. .

Digital Transformation and Global Society: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers. Springer Nature, 2022. p. 403–416 (Communications in Computer and Information Science ; Vol. 1503).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Chizhik, AV & Sergeyev, DA 2022, Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach. in Digital Transformation and Global Society: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers. Communications in Computer and Information Science , vol. 1503, Springer Nature, pp. 403–416, 6th International Conference on Digital Transformation and Global Society, DTGS 2021, Virtual, Online, Russian Federation, 23/06/21. https://doi.org/10.1007/978-3-030-93715-7_29

APA

Chizhik, A. V., & Sergeyev, D. A. (2022). Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach. In Digital Transformation and Global Society: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers (pp. 403–416). (Communications in Computer and Information Science ; Vol. 1503). Springer Nature. https://doi.org/10.1007/978-3-030-93715-7_29

Vancouver

Chizhik AV, Sergeyev DA. Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach. In Digital Transformation and Global Society: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers. Springer Nature. 2022. p. 403–416. (Communications in Computer and Information Science ). https://doi.org/10.1007/978-3-030-93715-7_29

Author

Chizhik, Anna V. ; Sergeyev, Dmitry A. . / Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach. Digital Transformation and Global Society: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers. Springer Nature, 2022. pp. 403–416 (Communications in Computer and Information Science ).

BibTeX

@inproceedings{f8de3139db494cc2a93d1f2f4b920200,
title = "Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach",
abstract = "The parliamentary discourse is the important component of the socio-political basis of modern society. The study of its characteristics can explain many social dynamics processes, for example, the activity and apathy of society at elections, as well as the features of civil society. Qualitative studies, based on sociological methodology and discourse analysis, can benefit greatly from automated topic mining provided by topic models such as latent Dirichlet allocation (LDA). In this paper we present the results of analysis the speeches of deputies of the State Duma of the Russian Federation (seven parliamentary sessions). The aim of our work was to find relation between the behavior of parties during parliamentary sessions and the public skepticism about the idea of a multiparty system as a basis of democracy.",
keywords = "Multiparty political system, Parliamentary discourse, open data, Cauterization, topic modelling",
author = "Chizhik, {Anna V.} and Sergeyev, {Dmitry A.}",
note = "Chizhik, A.V., Sergeyev, D.A. (2022). Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach. In: , et al. Digital Transformation and Global Society. DTGS 2021. Communications in Computer and Information Science, vol 1503. Springer, Cham. https://doi.org/10.1007/978-3-030-93715-7_29; 6th International Conference on Digital Transformation and Global Society, DTGS 2021, DTGS 2021 ; Conference date: 23-06-2021 Through 25-06-2021",
year = "2022",
doi = "10.1007/978-3-030-93715-7_29",
language = "English",
isbn = "9783030937140",
series = "Communications in Computer and Information Science ",
publisher = "Springer Nature",
pages = "403–416",
booktitle = "Digital Transformation and Global Society",
address = "Germany",
url = "http://dtgs-conference.org, http://dtgs-conference.org/",

}

RIS

TY - GEN

T1 - Exploring the Parliamentary Discourse of the Russian Federation Using Topic Modeling Approach

AU - Chizhik, Anna V.

AU - Sergeyev, Dmitry A.

N1 - Conference code: 6

PY - 2022

Y1 - 2022

N2 - The parliamentary discourse is the important component of the socio-political basis of modern society. The study of its characteristics can explain many social dynamics processes, for example, the activity and apathy of society at elections, as well as the features of civil society. Qualitative studies, based on sociological methodology and discourse analysis, can benefit greatly from automated topic mining provided by topic models such as latent Dirichlet allocation (LDA). In this paper we present the results of analysis the speeches of deputies of the State Duma of the Russian Federation (seven parliamentary sessions). The aim of our work was to find relation between the behavior of parties during parliamentary sessions and the public skepticism about the idea of a multiparty system as a basis of democracy.

AB - The parliamentary discourse is the important component of the socio-political basis of modern society. The study of its characteristics can explain many social dynamics processes, for example, the activity and apathy of society at elections, as well as the features of civil society. Qualitative studies, based on sociological methodology and discourse analysis, can benefit greatly from automated topic mining provided by topic models such as latent Dirichlet allocation (LDA). In this paper we present the results of analysis the speeches of deputies of the State Duma of the Russian Federation (seven parliamentary sessions). The aim of our work was to find relation between the behavior of parties during parliamentary sessions and the public skepticism about the idea of a multiparty system as a basis of democracy.

KW - Multiparty political system

KW - Parliamentary discourse

KW - open data

KW - Cauterization

KW - topic modelling

U2 - 10.1007/978-3-030-93715-7_29

DO - 10.1007/978-3-030-93715-7_29

M3 - Conference contribution

SN - 9783030937140

T3 - Communications in Computer and Information Science

SP - 403

EP - 416

BT - Digital Transformation and Global Society

PB - Springer Nature

T2 - 6th International Conference on Digital Transformation and Global Society, DTGS 2021

Y2 - 23 June 2021 through 25 June 2021

ER -

ID: 103630845