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Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization. / Zamiraylova, Ekaterina ; Mitrofanova, Olga .

R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019: Proceedings of the III International Conference. ред. / Andrey Ronzhin; Tatiana Noskova; Alexey Karpov. RWTH Aahen University, 2020. стр. 321-339 (CEUR Workshop Proceedings; Том 2552).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Zamiraylova, E & Mitrofanova, O 2020, Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization. в A Ronzhin, T Noskova & A Karpov (ред.), R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019: Proceedings of the III International Conference. CEUR Workshop Proceedings, Том. 2552, RWTH Aahen University, стр. 321-339, 3rd International Conference on R. Piotrowski's Readings in Language Engineering and Applied Linguistics, PRLEAL 2019, Saint Petersburg, Российская Федерация, 27/11/19.

APA

Zamiraylova, E., & Mitrofanova, O. (2020). Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization. в A. Ronzhin, T. Noskova, & A. Karpov (Ред.), R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019: Proceedings of the III International Conference (стр. 321-339). (CEUR Workshop Proceedings; Том 2552). RWTH Aahen University.

Vancouver

Zamiraylova E, Mitrofanova O. Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization. в Ronzhin A, Noskova T, Karpov A, Редакторы, R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019: Proceedings of the III International Conference. RWTH Aahen University. 2020. стр. 321-339. (CEUR Workshop Proceedings).

Author

Zamiraylova, Ekaterina ; Mitrofanova, Olga . / Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization. R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019: Proceedings of the III International Conference. Редактор / Andrey Ronzhin ; Tatiana Noskova ; Alexey Karpov. RWTH Aahen University, 2020. стр. 321-339 (CEUR Workshop Proceedings).

BibTeX

@inproceedings{c16bad06ceb4453ea3f996faef9d9039,
title = "Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization",
abstract = "This paper describes automatic topic spotting of literary texts based on the Russian short stories corpus, compiling stories written in the first third of the XXth century.Non-negative matrix factorization (NMF) is a valuable alternative to existing approaches of dynamic topic modeling and it can find niche topics and related vocabularies that are not captured by existent methods. The experiments were conducted on text samples extracted from the corpus, the given samples contain texts of 300 different authors. This approach allows to trace the topic dynamics of Russian prose for 30 years — from 1900to 1930. ",
keywords = "Computational linguistics, dynamic topic modeling, Russian literature, Russian short stories",
author = "Ekaterina Zamiraylova and Olga Mitrofanova",
year = "2020",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "RWTH Aahen University",
pages = "321--339",
editor = "Ronzhin, {Andrey } and Noskova, {Tatiana } and Karpov, {Alexey }",
booktitle = "R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019",
address = "Germany",
note = "3rd International Conference on R. Piotrowski's Readings in Language Engineering and Applied Linguistics, PRLEAL 2019 ; Conference date: 27-11-2019",

}

RIS

TY - GEN

T1 - Dynamic topic modeling of Russian prose of the first third of the XXth century by means of non-negative matrix factorization

AU - Zamiraylova, Ekaterina

AU - Mitrofanova, Olga

PY - 2020

Y1 - 2020

N2 - This paper describes automatic topic spotting of literary texts based on the Russian short stories corpus, compiling stories written in the first third of the XXth century.Non-negative matrix factorization (NMF) is a valuable alternative to existing approaches of dynamic topic modeling and it can find niche topics and related vocabularies that are not captured by existent methods. The experiments were conducted on text samples extracted from the corpus, the given samples contain texts of 300 different authors. This approach allows to trace the topic dynamics of Russian prose for 30 years — from 1900to 1930.

AB - This paper describes automatic topic spotting of literary texts based on the Russian short stories corpus, compiling stories written in the first third of the XXth century.Non-negative matrix factorization (NMF) is a valuable alternative to existing approaches of dynamic topic modeling and it can find niche topics and related vocabularies that are not captured by existent methods. The experiments were conducted on text samples extracted from the corpus, the given samples contain texts of 300 different authors. This approach allows to trace the topic dynamics of Russian prose for 30 years — from 1900to 1930.

KW - Computational linguistics

KW - dynamic topic modeling

KW - Russian literature

KW - Russian short stories

UR - http://ceur-ws.org/Vol-2552/

UR - http://ceur-ws.org/Vol-2552/Paper26.pdf

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 321

EP - 339

BT - R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019

A2 - Ronzhin, Andrey

A2 - Noskova, Tatiana

A2 - Karpov, Alexey

PB - RWTH Aahen University

T2 - 3rd International Conference on R. Piotrowski's Readings in Language Engineering and Applied Linguistics, PRLEAL 2019

Y2 - 27 November 2019

ER -

ID: 51154101