Approaches of the development of information monitoring system of social wellness opinions and evaluation

  • Zh. D. Mamykova al-Farabi Kazakh National University
  • G. M. Mutanov al-Farabi Kazakh National University
  • Zh. T. Sundetova al-Farabi Kazakh National University
  • S. M. Torekul al-Farabi Kazakh National University

Abstract

A dynamic spreading of social on-line services and development of the Big Data technologies have caused interest to use information from social media in different spheres. Nowadays the "social listening” and content analysis technologies gain popularity. The given services are basically represented by foreign development works, where linguistic dictionaries are made in English and they are badly adapted to Russian and Kazakh.
The given article describes the process of designing and developing the information system to monitor “social media”, adapted to the specific character of the Kazakh and Russian languages and forms of slang communication as well to define the emotional coloring of a user’s perception of the content and evaluation of  the social well-being in the region and country. The work represents the algorithm of the information system describing functionalities and methods and models as well.  Besides, a production model of social well-being evaluation and a semantic profile model for conceiving events by society has been considered. A comparative analysis of the development works has been made in the issues of opinions monitoring to reveal strengths and weaknesses. The information system gives an opportunity to monitor mass and social media, to analyze reputation management, to analyze a user’s perception of the Internet content on the regional and a nationwide scale.

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Published
2019-01-24
How to Cite
MAMYKOVA, Zh. D. et al. Approaches of the development of information monitoring system of social wellness opinions and evaluation. Journal of Mathematics, Mechanics and Computer Science, [S.l.], v. 100, n. 4, p. 63-77, jan. 2019. ISSN 1563-0277. Available at: <http://bm.kaznu.kz/index.php/kaznu/article/view/574>. Date accessed: 19 feb. 2019.
Keywords social media monitoring, comment analysis, social well-being, a user’s perception evaluation