Using NLP Python Tools in Methods of Content Analysis

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dc.contributor.authorRazno, Maria
dc.contributor.authorKhairova, Nina
dc.date.accessioned2024-02-15T19:01:56Z
dc.date.available2024-02-15T19:01:56Z
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 [Electronic resource] / M. Razno, N. Khairova // Computational Linguistics and Intelligent Systems (COLINS 2020) : proc. of the 4th Intern. Conf., April 23-24, 2020. Vol. 2. – Electronic text data. – Lviv, 2020. – P. 240-242. – Access mode: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf, free (date of the application 15.02.2024.).
dc.identifier.orcidhttps://orcid.org/0000-0003-3356-5027
dc.identifier.orcidhttps://orcid.org/0000-0002-9826-0286
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/74153
dc.language.isoen
dc.subjectcontent analysis
dc.subjectPython
dc.subjecttext classification
dc.subjecttext processing NLP
dc.subjectNLTK
dc.subjectTwitter
dc.titleUsing NLP Python Tools in Methods of Content Analysis
dc.typeArticle

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