THE MODEL AND METHOD OF TEXT THEMATIC STRUCTURIZATION ON THE BASIS OF STOCHASTIC AUTOMATICS
Journal Title: Вісник Кременчуцького національного університету імені Михайла Остроградського - Year 2018, Vol 1, Issue 108
Abstract
Purpose.To propose a model for analyzing the text structure, which is characterized by the use of stochastic matrices and automata for text tracing. This allows you to study the change in the significance of certain aspects and story lines along the length of the text, to reveal a program for the representation of verbal images. Results. Stages of the text content analysis method have been given. The method difference is that the thematic aspects are distinguished in the content, the change in their significance is traced, stochastic matrixes of associative connections of entities are formed, and annotations are formulated for each significant aspect of the content. This allows thematically to structure the analyzed text. An experimental verification of the method and model is carried out. The graphs of the change in the significance of the aspects are obtained and annotations are formed for each significant aspect. For experiments to test the working capacity of the proposed method and models, two texts were selected – a technical text with a volume of 2400 words (without a title, conclusions and a list of references), and an artistic text, with a volume of 1500 words. The keywords were selected using the TextAnalyst program. The plot lines were constructed graphs of the significance change of aspects. Significant aspects were highlighted and annotations were formed. The compression ratio was 10%. Practical value. The experiment results confirm the method operability. As a merit of the proposed approach, one can note the relative simplicity of implementation and 100% completeness and even some redundancy of the display of relevant information in the collection of annotations. Redundancy is easily eliminated by threshold processing of the found material for each aspect. The original structure of the document has practically no value. It can be arbitrary texts or sets of values of fields of a heterogeneous database. In future studies, it is planned to analyze trends in the signifi-cance of aspects, to study the correlation of aspects, their consistency, and to construct the phase structure of the text. When using knowledge bases, it is possible to identify contradictions, collisions, and build meaningful interpretations. References 12, figure 1, table 2.
Authors and Affiliations
I. Shevchenko, A. Lebedinets, D. Vasilyev
Keywords
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- EP ID EP659434
- DOI 10.30929/1995-0519.2018.1.29-37
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