Open AccessA Comparison of Topic Models Based on LDA, STM and NMF for Qualitative Studies of Russian Short Prose
Author(s) -
Margarita Kirina
Publication year - 2022
Publication title -
vestnik novosibirskogo gosudarstvennogo universiteta. seriâ: lingvistika i mežkulʹturnaâ kommunikaciâ
Language(s) - English
Resource type - Journals
ISSN - 1818-7935
DOI - 10.25205/1818-7935-2022-20-2-93-109
Subject(s) - latent dirichlet allocation , non negative matrix factorization , computer science , natural language processing , topic model , preprocessor , noun , dirichlet distribution , artificial intelligence , basis (linear algebra) , linguistics , matrix decomposition , mathematics , physics , philosophy , mathematical analysis , eigenvalues and eigenvectors , geometry , quantum mechanics , boundary value problem