Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus
Files
Date
2021-05-04
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
Media discourse analysis, Python, discourse markers, text processing, NLP, NLTK, corpus
Citation
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.