Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus

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Date

2021-05-04

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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.

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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.

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https://ena.lpnu.ua/handle/ntb/56802

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Computational linguistics and intelligent systems. – 2021 р.