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