ПІДХІД ДО АНАЛІЗУ ІНФОРМАЦІЙНОГО ПОТОКУ НОВИН ЗМІ З ОЦІНЮВАННЯМЙОГО ЕМОЦІЙНИХ ХАРАКТЕРИСТИК

Abstract

Research of information environment features is a vital element of information and analytical activity that makes possible to form the situation view more complete and precise. It is an important benchmark to react events information. Development of approaches to the information workflow processing concerns different aspects. The approach to mass media news information workflow processing with regard to its emotional component analysis and its intensity measurement is presented in this article. The elements which form emotional characteristics of news texts are also included. The nature of mass media news is emotionally saturated, so it is important to identify the factors which pressurize emotional state, notice relative phrases and evaluate them in a proper way. Therefore, proper translation of each phrase is critical due to the presence of idioms next to social and political lexis in mass media, which are used by news texts authors to impart a message a brighter character. With this in view these phrases demand a proper translation. The name for lingual units that transmit emotions and emotional states is concepts. Each language disposes its own concepts system related inseparably to the national culture of the native speaker’s language. Concepts which transmit certain emotions in the text form its emotional coloring. It can be evaluated by quantitative and qualitative indexes by appropriation of respective weighting ratios to particular emotional expressions. These expressions are transmitted with conventional phrases or idioms. It is advisable to form basic vocabulary of the text corpora with corresponding characters set which is a part of emotional coloring rate assessment procedure. The intensity of information impact is assessed by the most significant criteria, which form news nature. Outcome is graphically performed at the user's display. This approach application enables examination of different aspects of mass media information stream and makes possible to estimate it by various characteristics. In this way the presented application extends practical opportunities of news information workflow processing with the view of national security interests.