Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus

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dc.citation.epage85
dc.citation.spage84
dc.contributor.affiliationNational Technical University "Kharkiv Polytechnic Institute"
dc.contributor.authorRazno, Maria
dc.contributor.authorKhairova, Nina
dc.coverage.placenameЛьвів ; Харків
dc.coverage.placenameLviv ; Kharkiv
dc.coverage.temporal22-23 April 2021, Kharkiv
dc.date.accessioned2022-05-23T10:50:10Z
dc.date.available2022-05-23T10:50:10Z
dc.date.created2021-05-04
dc.date.issued2021-05-04
dc.description.abstractThis article describes Ukrainian media discourse corpus creation and the relevance of the discourse analysis task applied on this corpus, using NLP methods, that can be implemented on Python programming language. It also includes the concept of different NLP methods and algorithms, its main varieties and the most popular Python packages and libraries for working with text data. Extraction of media discourse markers analysis algorithms based on the text processing is introduced in this study. It shows how to use NLP methods in practice.
dc.format.extent84-85
dc.format.pages2
dc.identifier.citationRazno M. Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus / Maria Razno, Nina Khairova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 84–85.
dc.identifier.citationenRazno M. Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus / Maria Razno, Nina Khairova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 84–85.
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/56802
dc.language.isoen
dc.relation.ispartofComputational linguistics and intelligent systems, 2021
dc.relation.references[1] Newspaper "Krymska svitlytsya". URL: http://svitlytsia.crimea.ua
dc.relation.references[2] General regionally annotated corpus of the Ukrainian language (GRAK) by M. Shvedova, R. von Waldenfels, S. Yarigin, M. Kruk, A. Rysin, V. Starko, M. Wozniak. Kyiv, Oslo, Jena, 2017-2019. URL: http://www.parasolcorpus.org/bonito/run.cgi/first_form
dc.relation.references[3] Beautiful Soup Documentation. URL: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
dc.relation.references[4] Lexicon of Ukrainian discursive markers. URL: https://github.com/TScheffler/UK_DiMLex/blob/master/UK_DiMLex.xml
dc.relation.referencesen[1] Newspaper "Krymska svitlytsya". URL: http://svitlytsia.crimea.ua
dc.relation.referencesen[2] General regionally annotated corpus of the Ukrainian language (GRAK) by M. Shvedova, R. von Waldenfels, S. Yarigin, M. Kruk, A. Rysin, V. Starko, M. Wozniak. Kyiv, Oslo, Jena, 2017-2019. URL: http://www.parasolcorpus.org/bonito/run.cgi/first_form
dc.relation.referencesen[3] Beautiful Soup Documentation. URL: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
dc.relation.referencesen[4] Lexicon of Ukrainian discursive markers. URL: https://github.com/TScheffler/UK_DiMLex/blob/master/UK_DiMLex.xml
dc.relation.urihttp://svitlytsia.crimea.ua
dc.relation.urihttp://www.parasolcorpus.org/bonito/run.cgi/first_form
dc.relation.urihttps://www.crummy.com/software/BeautifulSoup/bs4/doc/
dc.relation.urihttps://github.com/TScheffler/UK_DiMLex/blob/master/UK_DiMLex.xml
dc.rights.holdercopyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
dc.rights.holder© 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and
dc.subjectMedia discourse analysis
dc.subjectPython
dc.subjectdiscourse markers
dc.subjecttext processing
dc.subjectNLP
dc.subjectNLTK
dc.subjectcorpus
dc.titleMedia Discourse Analysis Based on Ukrainian Spoken and Written Corpus
dc.typeArticle

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