title: Probabilistic Topic Modeling of the Russian Text Corpus on Musicology
metadata.name: dc.contributor.author
metadata.value: Mitrofanova, Olga
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-10-29T04:01:17Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-10-29T04:01:17Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2015-12-15
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Language, Music, and Computing: First International Workshop, LMAC 2015, St. Petersburg, Russia, April 20-22, 2015, Revised Selected Papers. Pp 69-76
metadata.lang: en_GB
metadata.name: dc.identifier.isbn
metadata.value: 978-3-319-27497-3
metadata.lang: -
metadata.name: dc.identifier.isbn
metadata.value: 978-3-319-27498-0
metadata.lang: -
metadata.name: dc.identifier.issn
metadata.value: 1865-0929
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/5554
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper describes the results of experiments on the development of a statistical model of the Russian text corpus on musicology. We construct a topic model based on Latent Dirichlet Allocation and process corpus data with the help of the GenSim statistical toolkit. Results achieved in course of experiments allow us to distinguish general and special topics which describe conceptual structure of the corpus in question and to analyze paradigmatic and syntagmatic relations between lemmata within topics.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The research discussed in the paper is supported by the grant of St.-Petersburg State University № 30.38.305.2014 «Quantitative linguistic parameters for defining stylistic characteristics and subject area of texts».
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: Springer International Publishing
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Volume 561 of the series Communications in Computer and Information Science;
metadata.lang: -
metadata.name: dc.subject
metadata.value: Musicology Corpus linguistics Text corpora Probabilistic topic modeling
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Probabilistic Topic Modeling of the Russian Text Corpus on Musicology
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: muscorp_cameraready_28.06.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/5554/1/muscorp_cameraready_28.06.pdf
resources.format: Adobe PDF
resources.size: 604,4 kB