Using NLP Python tools in methods of content analysis

dc.citation.epage242
dc.citation.spage240
dc.contributor.authorRazno Maria
dc.contributor.authorKhairova Nina
dc.date.accessioned2022-11-11T07:32:40Z
dc.date.available2022-11-11T07:32:40Z
dc.date.issued2020
dc.description.abstractThis article describes the relevance of the content analysis task applied on Twitter text data using various 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. The content analysis algorithms based on the text processing is introduced in this study. It shows how to use NLP methods in practice.
dc.identifier.citationRazno M. Using NLP Python tools in methods of content analysis / Maria Razno, Nina Khairova // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 240–242. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 3 titles.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57074
dc.language.isoen
dc.publisherонлайн
dc.subjectContent analysis, Python, Text classification, Text processing NLP, NLTK, Twitter
dc.titleUsing NLP Python tools in methods of content analysis
dc.typeConference Abstract

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