Content analysis of some social media of the occupied territories of Ukraine
| dc.citation.conference | Computational linguistics andintelligent systems (COLINS 2017) | |
| dc.contributor.affiliation | Informatic and Computer Science Department, Kherson National Technical Univesity | uk_UA |
| dc.contributor.author | Lytvynenko, Volodymyr | |
| dc.contributor.author | Lurie, Iryna | |
| dc.contributor.author | Radetska, Svitlana | |
| dc.contributor.author | Voronenko, Mariia | |
| dc.contributor.author | Kornilovska, Natalia | |
| dc.contributor.author | Partenjucha, Daria | |
| dc.coverage.country | UA | uk_UA |
| dc.coverage.placename | Kharkiv | uk_UA |
| dc.date.accessioned | 2018-02-22T11:39:46Z | |
| dc.date.available | 2018-02-22T11:39:46Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The paper analyzes the activities of the Internet publications in the temporarily occupied territories. The analysis of the tools for the detection and monitoring of free and paid services, data analysis of social media to monitor references and comments on social networks are presented in the paper. This paper includes an example of a practical text analysis and extraction of information online. It is shown that the use of computing environment KNIME opens new pathways in a variety of social media and determine the user behavior. This technique improves the process of analytical studies. | uk_UA |
| dc.format.pages | 84-94 | |
| dc.identifier.citation | Content analysis of some social media of the occupied territories of Ukraine / Volodymyr Lytvynenko, Iryna Lurie, Svitlana Radetska, Mariia Voronenko, Natalia Kornilovska, Daria Partenjucha // Computational linguistics andintelligent systems (COLINS 2017) : proceedings of the 1st International conference, Kharkiv, Ukraine, 21 April 2017 / National Technical University «KhPI», Lviv Polytechnic National University. – Kharkiv, 2017. – P. 84–94. – Bibliography: 13 titles. | uk_UA |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/39461 | |
| dc.language.iso | en | uk_UA |
| dc.publisher | National Technical University «KhPI» | uk_UA |
| dc.relation.referencesen | 1. Manoylo, A.V., Petrenko, A.I.,Frolov,D.B.: Gosudarstvennaya informatsionnaya politika v usloviyakhinformatsionno-psikhologicheskoy voyny: monografiya. M., Goryachaya liniya, Telekom, 2003, 541 s (In Russian) 2. Safina, A.R.: Osobennosti zhanrov Internet SMI.In: Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk,2013, №2-1, tom15, S. 226-229 (In Russian) 3. Shevchenko, T.: Pravoviy status Ínternet -ZMÍ v Ukraí̈ní : problemi, perspektivi vregulyuvannya (In Ukrainian) http://www.yur-gazeta.com/ru/oarticle/1120/ 4. Domarev, V.V.: Zashchita informatsii i bezopasnost' komp'yuternykh sistem.K., DiaSoft, 1999480 s (In Ukrainian) 5. Kaparini, M.: Mass-media, sektor bezopasnosti i vlast'. Rol' novostnykh sredstv massovoy informatsii v kontrole i podotchetnosti sektora bezopasnosti: Nauchnoye posobiye. K., 2005, 280 s. (In Russian) 6. Luman, N.: Real'nost' massmedia. M., Praksin, 2005, 256 s (In Russian) 7. Paniotto, V.: Ukraina. Yevromaydan. Vestnik obshchestvennogo mneniya. № 3–4, 2013, S. 17–24(In Russian) 8. Berezko, O.L., Peleshchishin, A.M.: WWW yak sotsíal'na merezha.In:Proc. oftheSecondIntern. Conf. onComputerScienceandEngineering (CSE'2007),Lviv, 2007, P. 29-30 (In Ukrainian) 9. Azarov, A.A., Brodovskaya, Ye.V., Dmitriyeva, O.V., Dombrovskaya, A.YU., Fil'chenkov,A.A.:Strategii formirovaniya ustanovok protestnogo povedeniya v seti Internet: Opyt primeneniya kibermetricheskogo analiza (na primere Yevromaydana,2013 (In Russian) 10. Mason,W.A., Conrey,F.R., Smith,E.R.: Situating social influence processes:Dynamic, multi directional flow so fin fluence within social networks. Personality and Social Psychology Review, Vol. 11, P. 279 – 300(2007) (In English) 11. Killian Thiel et al, ‖Creating Usable Customer Intelligence from Social Media Data: Network Analytics meets Text Mining‖ KNIME 2012. (In English) https://www.knime.org/files/knime_social_media_white_paper.pdf 12. M. Hofmann , A. Chisholm Text mining and visualization: case studies using open-source tools/ CRC Press, 2016. — 336 p. — (data mining and knowledge discovery). — ISBN: 9781482237580, 148223758X (In English) 13. T. Wilson, J. Wiebe, and P. Ho_mann. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the conference on human language technology and empirical methods in natural language processing, pages 347{354. Association for Computational Linguistics, 2005. (In English) | uk_UA |
| dc.subject | Social Media | uk_UA |
| dc.subject | KNIME | uk_UA |
| dc.subject | Content Analysis | uk_UA |
| dc.subject | Network Analytics | uk_UA |
| dc.subject | Text Mining | uk_UA |
| dc.subject | Occupation | uk_UA |
| dc.title | Content analysis of some social media of the occupied territories of Ukraine | uk_UA |
| dc.type | Conference Abstract | uk_UA |