https://oldena.lpnu.ua/handle/ntb/56802| Title: | Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus |
| Authors: | Razno, Maria Khairova, Nina |
| Affiliation: | National Technical University "Kharkiv Polytechnic Institute" |
| Bibliographic description (Ukraine): | Razno 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. |
| Bibliographic description (International): | Razno 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. |
| Is part of: | Computational linguistics and intelligent systems, 2021 |
| Issue Date: | 4-May-2021 |
| Place of the edition/event: | Львів ; Харків Lviv ; Kharkiv |
| Temporal Coverage: | 22-23 April 2021, Kharkiv |
| Keywords: | Media discourse analysis Python discourse markers text processing NLP NLTK corpus |
| Number of pages: | 2 |
| Page range: | 84-85 |
| Start page: | 84 |
| End page: | 85 |
| Abstract: | This 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/56802 |
| ISSN: | 2523-4013 |
| Copyright owner: | copyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). © 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and |
| URL for reference material: | http://svitlytsia.crimea.ua http://www.parasolcorpus.org/bonito/run.cgi/first_form https://www.crummy.com/software/BeautifulSoup/bs4/doc/ https://github.com/TScheffler/UK_DiMLex/blob/master/UK_DiMLex.xml |
| References (Ukraine): | [1] Newspaper "Krymska svitlytsya". URL: http://svitlytsia.crimea.ua [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 [3] Beautiful Soup Documentation. URL: https://www.crummy.com/software/BeautifulSoup/bs4/doc/ [4] Lexicon of Ukrainian discursive markers. URL: https://github.com/TScheffler/UK_DiMLex/blob/master/UK_DiMLex.xml |
| References (International): | [1] Newspaper "Krymska svitlytsya". URL: http://svitlytsia.crimea.ua [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 [3] Beautiful Soup Documentation. URL: https://www.crummy.com/software/BeautifulSoup/bs4/doc/ [4] Lexicon of Ukrainian discursive markers. URL: https://github.com/TScheffler/UK_DiMLex/blob/master/UK_DiMLex.xml |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2021 р. |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.