Approaches of the development of information monitoring system of social wellness opinions and evaluation
AbstractA 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.
 Gu J., Xiao B., Gu Z., «Software Design for Network Monitoring System», International Conference on Information Computing and Applications (2012): 41-46.
 Laine M.O.J., Frühwirth C., «Monitoring Social Media: Tools, Characteristics and Implications», International Conference of Software Business (2010): 193-198.
 Liu Y., «Social Media Monitoring», Social Media in China (2016), accessed on November 14, 2018, https://doi.org/10.1007/978-3-658-11231-8_10
 Gesell, S.B., Barkin, S.L. & Valente, T.W., «Social network diagnostics: a tool for monitoring group interventions», Implementation Science (2013), accessed on November 14, 2018, https://doi.org/10.1186/1748-5908-8-116
 Tesconi M., Gazzé D., Duca A.L., «SocialTrends: A Web Application for Monitoring and Visualizing Users in Social Media», International Conference on Social Informatics (2012): 535-538.
 Averchenkov V., Budylskii D., Podvesovskii A., Averchenkov A., Rytov M., Yakimov А., «Hierarchical Deep Learning: A Promising Technique for Opinion Monitoring and Sentiment Analysis in Russian-Language Social Networks» in Creativity in Intelligent Technologies and Data Science, ed Kravets A., Shcherbakov M., Kultsova M., Shabalina O. (Springer, Cham, 2015), 583
 Psallidas F., Ntoulas A., Delis A., «Soc Web: Efficient Monitoring of Social Network Activities», International Conference on Web Information Systems Engineering (2013): 118-136.
 Kirsch B., Giesselbach S., Knodt D., Rüping S., «Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring» in Community-Oriented Policing and Technological Innovations, ed Leventakis G., Haberfeld M. (SpringerBriefs in Criminology. Springer, Cham, 2018), 29.
 Xiaoyan W., kai X., Ying S., Jian-long T., Li G., «Research of New Words Identification in Social Network for Monitoring Public Opinion», International Conference on Trustworthy Computing and Services (2013): 598–603
 Guo Z., Wang Z., Zhang R., «MMCRD: An Effective Algorithm for Deploying Monitoring Point on Social Network», China Conference on Knowledge Graph and Semantic Computing (2018): 40-51.
 Schinas M., Papadopoulos S., Apostolidis L., Kompatsiaris Y., Mitkas P.A., «Open-Source Monitoring, Search and Analytics Over Social Media», International Conference on Internet Science (2017): 361-369
 Grüblbauer J., Haric P., «Social Media Monitoring Tools as Instruments of Strategic Issues Management» in Handbook of Social Media Management. Media Business and Innovation, ed Friedrichsen M., Mühl-Benninghaus W. (Springer, Berlin, Heidelberg, 2013), 671
 Gyarmati L., Trinh T.A., «Measurement Methods of User Behavior in Online Social Networks», Computational Social Networks (2012), accessed on November 14, 2018, https://doi.org/10.1007/978-1-4471-4051-1_7
 Stiehm S., Welter F., Richert A., Jeschke S., «Shaping the Future Through Cybernetic Approaches of Social Media Monitoring», in Automation, Communication and Cybernetics in Science and Engineering 2016, ed Jeschke S., Isenhardt I., Hees F., Henning K. (Springer, Cham), 179
 Souza R.C.S.N.P., de Brito D.E.F., Cardoso R.L., de Oliveira D.M., Meira W., Pappa G.L., «An Evolutionary Methodology for Handling Data Scarcity and Noise in Monitoring Real Events from Social Media Data», Ibero-American Conference on Artificial Intelligence (2014): 295-306
 Sparks R., «Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest», in Frontiers in Statistical Quality Control 11, ed Knoth S., Schmid W. (Frontiers in Statistical Quality Control. Springer, Cham, 2015), 3
 Official internet resource Hootsuite, accessed November 21, 2018, http://socialmention.com/about/
 Official internet resource Socialmention, accessed November 21, 2018, http://socialmention.com/about/
 Official internet resource BuzzLook, accessed November 21, 2018, https://br-analytics.ru/about/
 Official internet resource IQBuzz, accessed November 21, 2018, http://iqbuzz.pro/about.php
 Official internet resource Socialbakers, accessed November 21, 2018, https://www.socialbakers.com/company/
 Official internet resource Keyhole, accessed November 23, 2018, https://keyhole.co/about-us
 Official internet resource Brandwatch, accessed November 23, 2018, https://www.brandwatch.com/about/
 Official internet resource YouScan, accessed November 23, 2018, https://youscan.io/product/
 Official internet resource iMAS, accessed November 24, 2018, https://imas.kz
 Official internet resource Alem Media Monitoring, accessed November 24, 2018, https://alem.kz
 Official internet resource Brand Analуtics, accessed November 24, 2018, https://br-analytics.ru
 Official internet resource Microsoft engagement, accessed November 24, 2018, https://dynamics.microsoft.com/ru-ru/microsoft-social-engagement
 Official internet resource SocialBakers, accessed November 24, 2018, https://socialbakers.com/
 Tihonova E., «Chto takoe Engagement Rate i dlya chego eto nuzhno ?», [What is the Engagement Rate and what is it for?], accessed November 29, 2018, https://blog.sociate.ru/chto-takoe-engagement-rate-i-dlya-chego-eto-nuzhno
 «Engagement Rate: A Metric You Can Count On», accessed November 29, 2018, https://www.socialbakers.com/blog/1427-engagement-rate-a-metric-you-can-count-on
 Rumyantseva D., «ER - metodyi rascheta i znachenie pokazateley» [ER - calculation methods and indicators], accessed November 29, 2018, https://www.cossa.ru/155/101492/
 Official internet resource Committee on Statistics Ministry of National Economy of the Republic of Kazakhstan, accessed November 29, 2018, https://.stat.gov.kz