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