https://oldena.lpnu.ua/handle/ntb/52478| Title: | Content Analysis Method for Cut Formation of Human Psychological State |
| Authors: | Chyrun, Liliya Kis, Iaroslav Vysotska, Victoria Chyrun, Lyubomyr |
| Affiliation: | Lviv Polytechnic National University |
| Bibliographic description (Ukraine): | Content Analysis Method for Cut Formation of Human Psychological State / Liliya Chyrun, Iaroslav Kis, Victoria Vysotska, Lyubomyr Chyrun // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 139–144. — (Dynamic Data Mining & Data Stream Mining). |
| Bibliographic description (International): | Content Analysis Method for Cut Formation of Human Psychological State / Liliya Chyrun, Iaroslav Kis, Victoria Vysotska, Lyubomyr Chyrun // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 139–144. — (Dynamic Data Mining & Data Stream Mining). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | analysis of information resources contentanalysis rating evaluation content management system |
| Number of pages: | 6 |
| Page range: | 139-144 |
| Start page: | 139 |
| End page: | 144 |
| Abstract: | Negative factors in shaping the content complicate the process of finding the necessary data when scanning various sources. Increase in volume and change of relevance or dynamics of the content streams (systematic and irregular updates) leads to duplication, information pollution and redundant results in content search. Comprehension and generalization of large dynamic content streams which are continuously generated by Internet resources requires new methods/approaches to search such as content monitoring. Input information for content monitoring is a text in any natural language presented as a sequence of symbols, whilst output information is provided as tables of sections, sentences and lexemes of the analyzed text. |
| URI: | https://ena.lpnu.ua/handle/ntb/52478 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| URL for reference material: | http://vizthinker.com/visualization-critique/ http://www.hr-portal.ru/blog/rekruting-50-psihologicheskieprofili-v-socialnyh-setyah http://www.pamorama.net/wp-content/uploads/2010/12/Global-Mapof-Social-Web-Involvement-Global-Web-Index-2009.pdf http://journals.plos.org/ http://arxiv.org/pdf/1204.4809v1.pdf |
| References (Ukraine): | [1] J. Bennett, Visualization Critique, 2012. Retrieved from: http://vizthinker.com/visualization-critique/. [2] M. Dzheffri, Recruiting 5.0: Psikhologicheskiye profili v sotsial'nykh setyakh, http://www.hr-portal.ru/blog/rekruting-50-psihologicheskieprofili-v-socialnyh-setyah. [3] V. Lytvyn, P. Pukach, І. Bobyk, and V. Vysotska, “The method of formation of the status of personality understanding based on the content analysis,” Eastern–European Journal of Enterprise Technologies, 5/2(83), pp. 4–12, 2016. [4] Global Web Index, Social Web Involvement, Retrieved from: http://www.pamorama.net/wp-content/uploads/2010/12/Global-Mapof-Social-Web-Involvement-Global-Web-Index-2009.pdf. [5] D. Kluemper, P. Rosen, and K. Mossholder, “Social Networking Websites, Personality Ratings, and the Organizational Context: More Than Meets the Eye?,” Journal of Applied Social Psychology, 42(5), pp. 1143–1172, 2012. [6] M. Kosinski, D. Stillwell, and T. Graepel, “Private traits and attributes are predictable from digital records of human behavior,” Proceedings of the National Academy of Sciences, vol. 110(15), 5802–5805, 2013. [7] H. Schwartz, J. Eichstaedt, and M. Kern, “Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach,” Plos One. 8(9), 2013, http://journals.plos.org/ plosone/article?id=10.1371/journal.pone.007379. [8] O. Kanishcheva, V. Vysotska, L. Chyrun, and A. Gozhyj, “Method of Integration and Content Management of the Information Resources Network,” Advances in Intelligent Systems and Computing, 689, Springer, pp. 204–216, 2017. [9] J. Su, V. Vysotska, A. Sachenko, V. Lytvyn, and Y. Burov, “Information resources processing using linguistic analysis of textual content,” Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 9th IEEE International Conference, Bucharest, Romania, pp. 573–578, 2017. [10] O. Naum, L. Chyrun, O. Kanishcheva, and V. Vysotska, “Intellectual System Design for Content Formation,” Computer Science and Information Technologies, CSIT, pp. 131–138, 2017. [11] B. Shuotian, Z. Tingshao, and C. Li, Big-Five Personality Prediction Based on User Behaviors at Social Network Sites, 2012, http://arxiv.org/pdf/1204.4809v1.pdf. [12] V. Lytvyn, V. Vysotska, P. Pukach, І. Bobyk, and D. Uhryn, “Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology,” Eastern-European Journal of Enterprise Technologies, 4/2(88), pp. 10–18, 2017. [13] A. Mishler, E.S. Crabb, S. Paletz, B. Hefright, and E. Golonka, “Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis,” Communications in Computer and Information Science, vol. 528. Springer, pp. 639–644, 2015. [14] Jivani Anjali Ganesh, “A Comparative Study of Stemming Algorithms,” Int. J. Comp. Tech. Appl., vol. 2(6), 1930–1938, 2011. [15] B. Mobasher, Data mining for web personalization. The adaptive web, Springer Berlin Heidelberg, 2007, pp. 90–135. [16] C. E. Dinuca, and D. Ciobanu, “Web Content Mining,” University of Petroşani, Economics, pp. 85-92, 2012. [17] G. Xu, Y. Zhang, and L. Li. “Web content mining,” Web Mining and Social Networking, Springer US, pp. 71–87, 2011. [18] K. Kowalska, Cai Di, and S. Wade. “Sentiment analysis of polish texts,” Inter. J. of Computer and Communication Engineering 1.1, pp. 39–41, 2012. [19] N. Kotsyba. “The current state of work on the Polish-Ukrainian Parallel Corpus,” Organization and Development of Digital Lexical Resources, pp. 55–60, 2009. [20] P. Zhezhnych, and O. Markiv, “Linguistic Comparison Quality Evaluation of Web-Site Content with Tourism Documentation Objects,” Advances in Intelligent Systems and Computing, vol. 689, pp. 656–667, 2018. [21] V. Lytvyn, “The similarity metric of scientific papers summaries on the basis of adaptive ontologies”, Perspective Technologies and Methods in MEMS Design, p. 162, 2011. [22] V. Vysotska, I, Rishnyak, and L. Chyrun, “Analysis and evaluation of risks in electronic commerce,” CAD Systems in Microelectronics, 9th International Conference, Lviv, Ukrane, pp. 332-333, 2007. [23] I. Khomytska, and V. Teslyuk, “The Method of Statistical Analysis of the Scientific, Colloquial, Belles-Lettres and Newspaper Styles on the144 Phonological Level,” Advances in Intelligent Systems and Computing, vol. 512, pp. 149–163, 2017. [24] V. Lytvyn, V. Vysotska, P. Pukach, O. Brodyak, and D. Ugryn, “Development of a method for determining the keywords in the slavic language texts based on the technology of web mining,” EasternEuropean Journal of Enterprise Technologies, 2/2(86), pp. 4–12, 2017. [25] I. Khomytska, and V. Teslyuk, “Specifics of Phonostatistical Structure of the Scientific Style in English Style System,” Computer Science and Information Technologies, CSIT, pp. 129-131, 2016. [26] J. Chen, D. Dosyn, V. Lytvyn, and A. Sachenko, “Smart Data Integration by Goal Driven Ontology Learning,” Advances in Big Data, pp. 283–292, 2016. [27] V. Lytvyn, V. Vysotska, L. Chyrun, and L. Chyrun, “Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches,” IEEE First International Conference on Data Stream Mining & Processing, Lviv, Ukraine, pp. 269-274, August 23-27, 2016. [28] K. Mykich, and Y. Burov, “Algebraic model for knowledge representation in situational awareness systems,” Computer Sciences and Information Technologies, CSIT, pp.165-167, 2016. [29] K. Mykich, and Y. Burov, “Uncertainty in situational awareness systems,” Modern Problems of Radio Engineering, Telecommunications and Computer Science, pp. 729-732, 2016. [30] K. Mykich, and Y. Burov, “Algebraic Framework for Knowledge Processing in Systems with Situational Awareness,” Advances in Intelligent Systems and Computing, Springer Verlag, 217-228, 2016. [31] K. Mykich, and Y. Burov, “Research of uncertainties in situational awareness systems and methods of their processing,” Eastern European Journal of Enterprise Technologies, vol. 1(79), 19-26, 2016. [32] V. Lytvyn, V. Vysotska, O. Veres, I. Rishnyak, and H. Rishnyak, “The Risk Management Modelling in Multi Project Environment,” Computer Science and Information Technologies, Proc. of XII-th Int. Conf. CSIT, pp. 32–35, 2017. [33] Lytvyn V., Vysotska V., Burov Y., Veres and O., Rishnyak I. “The Contextual Search Method Based on Domain Thesaurus,” Advances in Intelligent Systems and Computing, 689, pp. 310–319, 2017. [34] M. Davydov, and O. Lozynska, “Information System for Translation into Ukrainian Sign Language on Mobile Devices,” Computer Science and Information Technologies, CSIT, pp. 48-51, 2017. [35] P. Kravets, “The control agent with fuzzy logic”, Perspective Technologies and Methods in MEMS Design, pp. 40-41, 2010. [36] P. Kravets, “The game method for orthonormal systems construction”, The Experience of Designing and Application of CAD Systems in Microelectronics, CADSM 2007. [37] P. Kravets, “Game Model of Dragonfly Animat Self-Learning”, Perspective Technologies and Methods in MEMS Design, pp. 195-201, 2016. [38] M. Davydov, and O. Lozynska, “Linguistic Models of Assistive Computer Technologies for Cognition and Communication, Computer Science and Information Technologies,” XI-th Int. Conf. CSIT’2017, pp. 171-175, 2017. [39] V. Vysotska, “Linguistic Analysis of Textual Commercial Content for Information Resources Processing. Modern Problems of Radio Engineering,” Telecommunications and Computer Science, TCSET’2016, pp. 709–713, 2016. [40] V. Vysotska, L. Chyrun, and L. Chyrun, “Information Technology of Processing Information Resources in Electronic Content Commerce Systems,” Computer Science and Information Technologies, CSIT’2016, pp. 212–222, 2016. [41] V. Vysotska, L. Chyrun, and L. Chyrun, “The Commercial Content Digest Formation and Distributional Process,” Computer Science and Information Technologies, Proc. of the XI–th Int. Conf. CSIT’2016, pp. 186–189, 2016. [42] V. Lytvyn, V. Vysotska, O. Veres, I. Rishnyak, and H. Rishnyak, “Content linguistic analysis methods for textual documents classification,” Computer Science and Information Technologies, CSIT’2016, pp. 190–192, 2016. [43] V. Lytvyn, and V. Vysotska, “Designing architecture of electronic content commerce system,” Computer Science and Information Technologies, proc. of the X–th Int. Conf. CSIT’2015, 115–119, 2015. [44] V. Vysotska, and L. Chyrun, “Analysis features of information resources processing,” Computer Science and Information Technologies, pp. 124–128, 2015. [45] V. Lytvyn, V. Vysotska, D. Dosyn, R. Holoschuk, and Z. Rybchak, “Application of Sentence Parsing for Determining Keywords in Ukrainian Texts,” Computer Science and Information Technologies, pp. 326–331, 2017. [46] V. Lytvyn, O.Tsmots, “The process of managerial decision making support within the early warning system”, Actual Problems of Economics, Vol. 11(149), pp. 222-229, 2013. [47] O. Maksymiv, T. Rak, and D. Peleshko,”Video-based Flame Detection using LBP-based Descriptor: Influences of Classifiers Variety on Detection Efficiency,” International Journal of Intelligent Systems and Applications, vol. 9(2), pp. 42–48, 2017. [48] D. Peleshko, T. Rak, and I. Izonin, “Image Superresolution via Divergence Matrix and Automatic Detection of Crossover,” International Journal of Intelligent Systems and Application, vol. 8(12), pp. 1–8, 2016. [49] A. Pérez, M. Enrech, “Virtual Library Services for a Virtual University: User-Oriented Virtual Sites in an Open Library”, EADTU, Paris, 1999. [50] A. Pérez, M Enrech, “Defining library services for a virtual community”, Libraries Without Walls Conference, Lesvos, Grecia, Centre for research in Library and Information Management, 1999. [51] V. Riznyk, “Multi-modular Optimum Coding Systems Based on Remarkable Geometric Properties of Space,” Advances in Intelligent Systems and Computing, 512, pp. 129–148, 2017. [52] V. Teslyuk, V. Beregovskyi, P. Denysyuk, T. Teslyuk, and A. Lozynskyi, “Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System,” International Journal of Intelligent Systems and Applications, vol. 10(1), pp. 1–8, 2018. [53] T. Basyuk, “The main reasons of attendance falling of internet resource,” Computer Science and Information Technologies, pp. 91–93, 2015. [54] M. Korobchinsky, V. Vysotska, L. Chyrun, and L. Chyrun, “Peculiarities of Content Forming and Analysis in Internet Newspaper Covering Music News,” Computer Science and Information Technologies, CSIT’2017, pp. 52–57, 2017. [55] M.A. Gonçalves, E.A. Fox, L.T.nWatson, and N.A. Kipp, “Streams, Structures, Spaces, Scenarios, Societies (5S): A Formal Model for Digital Libraries”, ACM Transactions on Information Systems (TOIS), vol. 22(2), pp. 270-312, 2004. [56] N. Shakhovska, V. Vysotska, and L. Chyrun, “Features of E-Learning Realization Using Virtual Research Laboratory,” Computer Science and Information Technologies, CSIT’2016, pp.143-148, 2016. [57] R. Tkachenko, P. Tkachenko, I. Izonin, Y. Tsymbal, “Learning-based image scaling using neural-like structure of geometric transformation paradigm”, In Studies in Computational Intelligence, vol. 730, Springer Verlag, pp. 537–565,. 2018. [58] Y. Rashkevych, D. Peleshko, O. Vynokurova, I. Izonin and N. Lotoshynska, "Single-frame image super-resolution based on singular square matrix operator," 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), pp. 944-948, 2017. [59] O. Chernukha, and Y. Bilushchak, “Mathematical modeling of random concentration field and its second moments in a semispace with erlangian disrtibution of layered inclusions”, Task Quarterly, vol. 20(3), pp. 295-334, 2016. [60] B. Rusyn, O. Lutsyk, O. Lysak, A. Lukeniuk, and L. Pohreliuk, “Lossless Image Compression in the Remote Sensing Applications”, Data stream mining & processing, DSMP, pp.195-198, 2016. [61] Kowalik Dagmara, “Polish vocational competence standards for the needs of audult education and the Europen labour marke”, International Conference on Advanced Information Engineering and Education Science, ICAEES, pp. 95-98, 2013. [62] I. Khomytska, V. Teslyuk, “Modelling of Phonostatistical Structures of English Backlingual Phoneme Group in Style System”, Proceedings of CADMS, pp. 324-327, 2017. [63] I. Khomytska, V. Teslyuk, “Modelling of Phonostatistical Structures of the Colloquial and Newspaper Styles in English Sonorant Phoneme Group”, Computer Science and Information Technologies, CSIT, pp. 67-70, 2017. [64] V. Pasichnyk, and T. Shestakevych, “The model of data analysis of the psychophysiological survey results,” Advances in Intelligent Systems and Computing, 512, pp. 271–281, 2017. |
| References (International): | [1] J. Bennett, Visualization Critique, 2012. Retrieved from: http://vizthinker.com/visualization-critique/. [2] M. Dzheffri, Recruiting 5.0: Psikhologicheskiye profili v sotsial'nykh setyakh, http://www.hr-portal.ru/blog/rekruting-50-psihologicheskieprofili-v-socialnyh-setyah. [3] V. Lytvyn, P. Pukach, I. Bobyk, and V. Vysotska, "The method of formation of the status of personality understanding based on the content analysis," Eastern–European Journal of Enterprise Technologies, 5/2(83), pp. 4–12, 2016. [4] Global Web Index, Social Web Involvement, Retrieved from: http://www.pamorama.net/wp-content/uploads/2010/12/Global-Mapof-Social-Web-Involvement-Global-Web-Index-2009.pdf. [5] D. Kluemper, P. Rosen, and K. Mossholder, "Social Networking Websites, Personality Ratings, and the Organizational Context: More Than Meets the Eye?," Journal of Applied Social Psychology, 42(5), pp. 1143–1172, 2012. [6] M. Kosinski, D. Stillwell, and T. Graepel, "Private traits and attributes are predictable from digital records of human behavior," Proceedings of the National Academy of Sciences, vol. 110(15), 5802–5805, 2013. [7] H. Schwartz, J. Eichstaedt, and M. Kern, "Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach," Plos One. 8(9), 2013, http://journals.plos.org/ plosone/article?id=10.1371/journal.pone.007379. [8] O. Kanishcheva, V. Vysotska, L. Chyrun, and A. Gozhyj, "Method of Integration and Content Management of the Information Resources Network," Advances in Intelligent Systems and Computing, 689, Springer, pp. 204–216, 2017. [9] J. Su, V. Vysotska, A. Sachenko, V. Lytvyn, and Y. Burov, "Information resources processing using linguistic analysis of textual content," Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 9th IEEE International Conference, Bucharest, Romania, pp. 573–578, 2017. [10] O. Naum, L. Chyrun, O. Kanishcheva, and V. Vysotska, "Intellectual System Design for Content Formation," Computer Science and Information Technologies, CSIT, pp. 131–138, 2017. [11] B. Shuotian, Z. Tingshao, and C. Li, Big-Five Personality Prediction Based on User Behaviors at Social Network Sites, 2012, http://arxiv.org/pdf/1204.4809v1.pdf. [12] V. Lytvyn, V. Vysotska, P. Pukach, I. Bobyk, and D. Uhryn, "Development of a method for the recognition of authors style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology," Eastern-European Journal of Enterprise Technologies, 4/2(88), pp. 10–18, 2017. [13] A. Mishler, E.S. Crabb, S. Paletz, B. Hefright, and E. Golonka, "Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis," Communications in Computer and Information Science, vol. 528. Springer, pp. 639–644, 2015. [14] Jivani Anjali Ganesh, "A Comparative Study of Stemming Algorithms," Int. J. Comp. Tech. Appl., vol. 2(6), 1930–1938, 2011. [15] B. Mobasher, Data mining for web personalization. The adaptive web, Springer Berlin Heidelberg, 2007, pp. 90–135. [16] C. E. Dinuca, and D. Ciobanu, "Web Content Mining," University of Petroşani, Economics, pp. 85-92, 2012. [17] G. Xu, Y. Zhang, and L. Li. "Web content mining," Web Mining and Social Networking, Springer US, pp. 71–87, 2011. [18] K. Kowalska, Cai Di, and S. Wade. "Sentiment analysis of polish texts," Inter. J. of Computer and Communication Engineering 1.1, pp. 39–41, 2012. [19] N. Kotsyba. "The current state of work on the Polish-Ukrainian Parallel Corpus," Organization and Development of Digital Lexical Resources, pp. 55–60, 2009. [20] P. Zhezhnych, and O. Markiv, "Linguistic Comparison Quality Evaluation of Web-Site Content with Tourism Documentation Objects," Advances in Intelligent Systems and Computing, vol. 689, pp. 656–667, 2018. [21] V. Lytvyn, "The similarity metric of scientific papers summaries on the basis of adaptive ontologies", Perspective Technologies and Methods in MEMS Design, p. 162, 2011. [22] V. Vysotska, I, Rishnyak, and L. Chyrun, "Analysis and evaluation of risks in electronic commerce," CAD Systems in Microelectronics, 9th International Conference, Lviv, Ukrane, pp. 332-333, 2007. [23] I. Khomytska, and V. Teslyuk, "The Method of Statistical Analysis of the Scientific, Colloquial, Belles-Lettres and Newspaper Styles on the144 Phonological Level," Advances in Intelligent Systems and Computing, vol. 512, pp. 149–163, 2017. [24] V. Lytvyn, V. Vysotska, P. Pukach, O. Brodyak, and D. Ugryn, "Development of a method for determining the keywords in the slavic language texts based on the technology of web mining," EasternEuropean Journal of Enterprise Technologies, 2/2(86), pp. 4–12, 2017. [25] I. Khomytska, and V. Teslyuk, "Specifics of Phonostatistical Structure of the Scientific Style in English Style System," Computer Science and Information Technologies, CSIT, pp. 129-131, 2016. [26] J. Chen, D. Dosyn, V. Lytvyn, and A. Sachenko, "Smart Data Integration by Goal Driven Ontology Learning," Advances in Big Data, pp. 283–292, 2016. [27] V. Lytvyn, V. Vysotska, L. Chyrun, and L. Chyrun, "Distance Learning Method for Modern Youth Promotion and Involvement in Independent Scientific Researches," IEEE First International Conference on Data Stream Mining & Processing, Lviv, Ukraine, pp. 269-274, August 23-27, 2016. [28] K. Mykich, and Y. Burov, "Algebraic model for knowledge representation in situational awareness systems," Computer Sciences and Information Technologies, CSIT, pp.165-167, 2016. [29] K. Mykich, and Y. Burov, "Uncertainty in situational awareness systems," Modern Problems of Radio Engineering, Telecommunications and Computer Science, pp. 729-732, 2016. [30] K. Mykich, and Y. Burov, "Algebraic Framework for Knowledge Processing in Systems with Situational Awareness," Advances in Intelligent Systems and Computing, Springer Verlag, 217-228, 2016. [31] K. Mykich, and Y. Burov, "Research of uncertainties in situational awareness systems and methods of their processing," Eastern European Journal of Enterprise Technologies, vol. 1(79), 19-26, 2016. [32] V. Lytvyn, V. Vysotska, O. Veres, I. Rishnyak, and H. Rishnyak, "The Risk Management Modelling in Multi Project Environment," Computer Science and Information Technologies, Proc. of XII-th Int. Conf. CSIT, pp. 32–35, 2017. [33] Lytvyn V., Vysotska V., Burov Y., Veres and O., Rishnyak I. "The Contextual Search Method Based on Domain Thesaurus," Advances in Intelligent Systems and Computing, 689, pp. 310–319, 2017. [34] M. Davydov, and O. Lozynska, "Information System for Translation into Ukrainian Sign Language on Mobile Devices," Computer Science and Information Technologies, CSIT, pp. 48-51, 2017. [35] P. Kravets, "The control agent with fuzzy logic", Perspective Technologies and Methods in MEMS Design, pp. 40-41, 2010. [36] P. Kravets, "The game method for orthonormal systems construction", The Experience of Designing and Application of CAD Systems in Microelectronics, CADSM 2007. [37] P. Kravets, "Game Model of Dragonfly Animat Self-Learning", Perspective Technologies and Methods in MEMS Design, pp. 195-201, 2016. [38] M. Davydov, and O. Lozynska, "Linguistic Models of Assistive Computer Technologies for Cognition and Communication, Computer Science and Information Technologies," XI-th Int. Conf. CSIT’2017, pp. 171-175, 2017. [39] V. Vysotska, "Linguistic Analysis of Textual Commercial Content for Information Resources Processing. Modern Problems of Radio Engineering," Telecommunications and Computer Science, TCSET’2016, pp. 709–713, 2016. [40] V. Vysotska, L. Chyrun, and L. Chyrun, "Information Technology of Processing Information Resources in Electronic Content Commerce Systems," Computer Science and Information Technologies, CSIT’2016, pp. 212–222, 2016. [41] V. Vysotska, L. Chyrun, and L. Chyrun, "The Commercial Content Digest Formation and Distributional Process," Computer Science and Information Technologies, Proc. of the XI–th Int. Conf. CSIT’2016, pp. 186–189, 2016. [42] V. Lytvyn, V. Vysotska, O. Veres, I. Rishnyak, and H. Rishnyak, "Content linguistic analysis methods for textual documents classification," Computer Science and Information Technologies, CSIT’2016, pp. 190–192, 2016. [43] V. Lytvyn, and V. Vysotska, "Designing architecture of electronic content commerce system," Computer Science and Information Technologies, proc. of the X–th Int. Conf. CSIT’2015, 115–119, 2015. [44] V. Vysotska, and L. Chyrun, "Analysis features of information resources processing," Computer Science and Information Technologies, pp. 124–128, 2015. [45] V. Lytvyn, V. Vysotska, D. Dosyn, R. Holoschuk, and Z. Rybchak, "Application of Sentence Parsing for Determining Keywords in Ukrainian Texts," Computer Science and Information Technologies, pp. 326–331, 2017. [46] V. Lytvyn, O.Tsmots, "The process of managerial decision making support within the early warning system", Actual Problems of Economics, Vol. 11(149), pp. 222-229, 2013. [47] O. Maksymiv, T. Rak, and D. Peleshko,"Video-based Flame Detection using LBP-based Descriptor: Influences of Classifiers Variety on Detection Efficiency," International Journal of Intelligent Systems and Applications, vol. 9(2), pp. 42–48, 2017. [48] D. Peleshko, T. Rak, and I. Izonin, "Image Superresolution via Divergence Matrix and Automatic Detection of Crossover," International Journal of Intelligent Systems and Application, vol. 8(12), pp. 1–8, 2016. [49] A. Pérez, M. Enrech, "Virtual Library Services for a Virtual University: User-Oriented Virtual Sites in an Open Library", EADTU, Paris, 1999. [50] A. Pérez, M Enrech, "Defining library services for a virtual community", Libraries Without Walls Conference, Lesvos, Grecia, Centre for research in Library and Information Management, 1999. [51] V. Riznyk, "Multi-modular Optimum Coding Systems Based on Remarkable Geometric Properties of Space," Advances in Intelligent Systems and Computing, 512, pp. 129–148, 2017. [52] V. Teslyuk, V. Beregovskyi, P. Denysyuk, T. Teslyuk, and A. Lozynskyi, "Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System," International Journal of Intelligent Systems and Applications, vol. 10(1), pp. 1–8, 2018. [53] T. Basyuk, "The main reasons of attendance falling of internet resource," Computer Science and Information Technologies, pp. 91–93, 2015. [54] M. Korobchinsky, V. Vysotska, L. Chyrun, and L. Chyrun, "Peculiarities of Content Forming and Analysis in Internet Newspaper Covering Music News," Computer Science and Information Technologies, CSIT’2017, pp. 52–57, 2017. [55] M.A. Gonçalves, E.A. Fox, L.T.nWatson, and N.A. Kipp, "Streams, Structures, Spaces, Scenarios, Societies (5S): A Formal Model for Digital Libraries", ACM Transactions on Information Systems (TOIS), vol. 22(2), pp. 270-312, 2004. [56] N. Shakhovska, V. Vysotska, and L. Chyrun, "Features of E-Learning Realization Using Virtual Research Laboratory," Computer Science and Information Technologies, CSIT’2016, pp.143-148, 2016. [57] R. Tkachenko, P. Tkachenko, I. Izonin, Y. Tsymbal, "Learning-based image scaling using neural-like structure of geometric transformation paradigm", In Studies in Computational Intelligence, vol. 730, Springer Verlag, pp. 537–565,. 2018. [58] Y. Rashkevych, D. Peleshko, O. Vynokurova, I. Izonin and N. Lotoshynska, "Single-frame image super-resolution based on singular square matrix operator," 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), pp. 944-948, 2017. [59] O. Chernukha, and Y. Bilushchak, "Mathematical modeling of random concentration field and its second moments in a semispace with erlangian disrtibution of layered inclusions", Task Quarterly, vol. 20(3), pp. 295-334, 2016. [60] B. Rusyn, O. Lutsyk, O. Lysak, A. Lukeniuk, and L. Pohreliuk, "Lossless Image Compression in the Remote Sensing Applications", Data stream mining & processing, DSMP, pp.195-198, 2016. [61] Kowalik Dagmara, "Polish vocational competence standards for the needs of audult education and the Europen labour marke", International Conference on Advanced Information Engineering and Education Science, ICAEES, pp. 95-98, 2013. [62] I. Khomytska, V. Teslyuk, "Modelling of Phonostatistical Structures of English Backlingual Phoneme Group in Style System", Proceedings of CADMS, pp. 324-327, 2017. [63] I. Khomytska, V. Teslyuk, "Modelling of Phonostatistical Structures of the Colloquial and Newspaper Styles in English Sonorant Phoneme Group", Computer Science and Information Technologies, CSIT, pp. 67-70, 2017. [64] V. Pasichnyk, and T. Shestakevych, "The model of data analysis of the psychophysiological survey results," Advances in Intelligent Systems and Computing, 512, pp. 271–281, 2017. |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Chyrun_L-Content_Analysis_Method_139-144.pdf | 271.13 kB | Adobe PDF | View/Open | |
| 2018_Chyrun_L-Content_Analysis_Method_139-144__COVER.png | 584.78 kB | image/png | View/Open |
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