Intelligent technology for computer understanding of natural texts

Purpose. To implement applied and technological tasks of computer linguistics: intellectual analysis of natural language texts, identification of semantic-syntactic relations of natural language.

Specifications. The technology is designed for use in the form of systems and modules on a PC compatible with x86 or x64 architecture, corresponding to MS Windows 7,8,10, 8 GB RAM, 1000 GB HDD, Python 3.6 must be installed.

Application area. Information and communication technologies: news flow analysis, content analysis of messages on social networks, etc. Market for analytical software developers in Ukraine, Ministry of Digital Transformation of Ukraine, Taras Shevchenko National University of Kyiv

Advantages. Focus on the Ukrainian language and low-power computing tools, as opposed to English-language models focused on use on powerful server systems.

Technical and economic effect. In conditions of information warfare, it provides a means of quickly finding signs of coordinated information impacts. Thanks to the tools that can be used to analyze the effectiveness of advertising or propaganda, as well as the quality of copywriters’ work, it can be used in commercial tasks.

Description. Based on the accumulated data, pre-processed by constructing control spaces using LSA (Latent Semantic Analysis), language knowledge bases have been compiled that can be used in various technical and applied tasks.

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