Linguistic intellectual analysis methods for Ukrainian textual content processing

The peculiarities of the method of syntactic analysis of Ukrainian-language text content aimed at automatic detection of significant keywords of input texts are considered.The role and formal features of the parser in the process of identifying keywords of the content topic are defined, and the procedures of the proposed method are decomposed into 4 stages.Compared to well-known parsers, the proposed method provides self-improvement and self-learning of the automated keyword identification system due to the mechanism of identification of significant statistical parameters within the limits defined by the moderator.The experimental study confirmed the reliability of the method -for various methods of processing the primary text, the average coincidence of the lists of identified keywords with the authors varies in the range of 52.6-68.5%.The accuracy of matching keywords with the author's keywords ranges from 43.6 to 62.9%.The average match of meaningful keywords compared to all found by the system ranges from 38.9 to 75.8% according to the stages of article text analysis.The accuracy of matching keywords compared to all found by the system varies between 34.3-71.9%according to the stages of analysis of the texts of the articles.The reliability of scientific and practical results is confirmed by relevant materials on the implementation of dissertation research, as well as by comparing the obtained practical results on different samples of reliable input data.CLS was developed on the information resource http://victana.lviv.uausing CMS Joomla! (for developing the e-framework of articles), PHP (for implementing text content processing methods), HTML (for implementing page markup), CSS (for describing page styles), and MySQL (for storing data and dictionaries).The experimental study confirmed the reliability of the method of determining keywords -for different algorithms for processing the primary text, the average coincidence of the lists of identified keywords with the authors varies in the range of 52.6-68.5%.The accuracy of matching keywords with the author's keywords ranges from 43.6 to 62.9%.The average match of meaningful keywords compared to all found by the system ranges from 38.9-75.8%,depending on the stages of analysis of article texts.The accuracy of matching keywords compared to all found by the system varies between 34.3-71.9%,depending on the stages of analysis of the text of the articles.