Issues of Public Multimedia Analysis in A Socio-Cultural Researches

Analysis of public Internet data is a popular topic for socio-cultural researches. Study prospects of using personalized data led the scientists to the problem of constructing a social profile. It is structured set of information, which is able to uniquely characterize a particular person. The social profile building is carried out through the analysis of the filtered Internet open source data. Raw social profile data are subdivided on static and dynamic parts. Dynamic unstructured data includes text and multimedia information and cannot be handled by classical analytic means. The analytical task of social profile data is achieved through mathematical tools of the set theory, Big Data software and analytic tools for social media. Also, modern methods for analysis of the multimedia data are helpful. The techniques review for the analysis of multimedia content (graphics, sound) is offered. Analysis of multimedia resources is complicated by the variety of information processed types. The current work is devoted to combine existing experience by automating non-textual information processing in the task of a social profile building. Automated processing of multimedia information will improve the completeness and accuracy of the final social profile. In addition, the results of this work can be used to study the social phenomenon of viral media.