The article examines the cognitive and behavioral components of group attitudes toward political order of students of DGTU.  Pilot study took place in 2013 and was carried out using questionnaires, which was attended by 52 people. The analysis represents a hierarchical clustering on the basis of consecutive factorization. It is received, group level of a relative deprivation – 0,46. In assessing deprivation group decomposed into two subgroups, with average values in each - 0.3 and 0.6. Perceptions of political order at the cognitive level:  -0,174 for local government and-0,139 for Russia. In perception of local government the group broke into two subgroups: -0,3 and 0,2. Behavioral component perception of political order defined by two subfactor: active behavioral level - 0.39, and the estimated level of oppositional behavior - 0.57.

Keywords: group settings, the affective component, a behavioral component, cognitive component, relative deprivation, questioning, political attitudes, factor analysis

In the autumn of 2013 a pilot survey was conducted among students DSTU, which was attended by 52 respondents. Purpose - to reveal emotional perception of the students of local and central political government by the method of semantic differential. The paper presents a psychosemantic phenomenological model processing of survey results by the method of semantic differential. On average semantic portraits are calculated relative distances between the group images of real political order and the images of the ideal constructs. Phenomenological parameters are determined by them and calculated the required level of group emotional perception of a political order. Calculations group levels of emotional perception of the political order showed similar results as the linear approximation: -0.015 for Region and for Russia as a whole -0.033. Shown, the model allows to determine not only the group levels of perception, but also to build the surface of the stationary states. This surface describes the behavior the level of perception associated with a quasistatic change of phenomenological parameters caused by external conditions. Images of perception of real political orders are in quiet area. At quasistatic variations of external conditions it is necessary to expect little smooth changes of level of perception.

Keywords: political order, semantic differential, questioning, catastrophe theory, psychosemantic phenomenological modeling

The article describes peculiarities of modern syntax parser systems and problems originating in text analysis. As a result of comparative analysis the authors propose a unified approach to processing of unstructured texts in Russian and English which combines morphology and syntax processing. The developed syntax analysis system, using verbs’ valency dictionary, samples of minimal structural schemes of sentences and samples of conjunctions, allows choosing predicative structures of sentences in the text, realizing initial semantic analysis due to semantic content of predicate’s actants and building trees of syntactical subordination of sentences. The derived trees hold elements of tree of constitutives and tree of dependences. The proposed samples and rules organization allows resolving some of the problems of modern parsers. And the use of verbs’ valency dictionary allows reducing the number of sentences syntax analysis variants.

Keywords: automatic text processing; syntax parser; morphological analysis; structural text elements

The represented approach of dynamic process modeling is based on the technology of automatical semantic text analysis. An associative network is forming during text processing. Its key notions, including  lexical and psycholinguistic markers of the analyzed process, are ranked by theirs semantic weight. The weight being multiplied by marker status value at the scale of “good-bad” gives its contribution to the process stage characteristic. Transformation of the accumulated for all of the markers process characteristic from one period of time to another one is characterize a direction of the process.

Keywords: automatical text processing, associative (homogenous semantic) network, process dynamic modeling, social processes, lexical and psycholinguistic markers

To analyze social network graph effectively one needs a web-based tool, to parse network data automatically. In the first part of the paper we descibe a structre of the data we gain, including who comments whom information. Then we explain usage of Drupal CMF with Feeds module to parse network data and save it to database. The data obtained consist of name of the comment author, date posted, journal author, comment text, title of the comment. Prepared graph can be exported for further use.

Keywords: social network graph, web-page parser, drupal cmf, feeds module, comments importer, comments graph