Methods and Techniques of Assessment of the Value Orientations of Social Media Users

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dc.contributor.authorKiforchuk, K. O.
dc.date.accessioned2020-10-15T15:35:12Z
dc.date.available2020-10-15T15:35:12Z
dc.date.issued2020
dc.description.abstractenThe purpose of the work is to investigate and review the general concept of sentiment analysis and the use of such approach in assessment of the value orientations of social media users. The article analyzes main components and steps of sentiment analysis and different methods and techniques which are applied at each stage. The paper also researches machine learning approach in sentiment analysis: different algorithms were reviewed in details. Authors use methods of analysis for research of technologies and means of sentiment analysis, its functions, opportunities and advantages of use; comparison methods for researching individual techniques and methods. The article states that there are many options for further improvements in sentiment analysis and authors propose an original approach for determining emotional component in text.uk
dc.format.pagerangePp. 70-73uk
dc.identifier.citationKiforchuk, K. O. Methods and Techniques of Assessment of the Value Orientations of Social Media Users / K. O. Kiforchuk // Theoretical and Applied Cybersecurity : scientific journal. – 2020. – Vol. 2, Iss. 1. – Pp. 70–73. – Bibliogr.: 10 ref.uk
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132020.1.209476
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/36796
dc.language.isoenuk
dc.publisherIgor Sikorsky Kyiv Polytechnic Instituteuk
dc.publisher.placeKyivuk
dc.sourceTheoretical and Applied Cybersecurity : scientific journal, 2020, Vol. 2, No. 1uk
dc.subjectsentiment analysisuk
dc.subjectsocial media analysisuk
dc.subjectmachine learninguk
dc.subject.udc004.62uk
dc.titleMethods and Techniques of Assessment of the Value Orientations of Social Media Usersuk
dc.typeArticleuk

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 2, No. 1