Crime-Related Events Identification Based on Text Analytics Approach

Orken Mamyrbayev was born in Kazakhstan, 1979. Deputy Deputy General Director in science and head of the Laboratory of computer engineering of intelligent systems at the Institute of Information and Computational Technologies. In 2014, he obtained his Ph. D. in Information systems at the Kazakh National Technical University named after K. I. Satbayev and Associate Professor in 2019 at the Institute of Information and Computational Technologies. He is a member of the dissertation council “Information Systems” at L.N. Gumilyov Eurasian National University in the specialties Computer Sciences and Information systems. His main research field of activity is related to machine learning, deep learning, and speech technologies. In total, he has published more than 5 books, over 120 papers, and authored several patents and copyright certificates for an intellectual property object in software. Currently, he manages two scientific projects, such as the Development of an end-to-end automatic speech recognition system for agglutinative languages and Information model and software tools for the system of automatic search and analysis of multilingual illegal web content based on the ontological approach.Nina Khairova received her Ph.D. degree in information technology from Kharkiv National University of Radio Electronics, Ukraine. She conducted her postdoctoral studies in computational linguistics at the National Technical University 'Kharkiv Polytechnic Institute' (NTU 'KhPI') and Taras Shevchenko National University, Ukraine. Since 2013, she has held the position of Professor in the Intelligent Computer Systems Department at NTU 'KhPI.' Currently, she is a Visiting Professor in the Computer Science Department at Umeå University, Sweden. Her main research interests include corpus linguistics, natural language processing, machine learning, and responsible artificial intelligence. She is the author of three books and has published more than 150 research articles. Her current research projects include 'Information model and software tools for the system of automatic search and analysis of multilingual illegal web content based on the ontological approach' and 'Building TRUST in social media: assessing the trustworthiness of public information.'Waldemar Wójcik was born in Poland, 1949. Currently retired. Long time Director of the Institute of Electronics and Information Technology, former long-time dean of the Faculty of Electrical Engineering and Computer Science at Lublin University of Technology. Doctor Honoris Causa of five universities in Ukraine and Kazakhstan. He obtained his Ph. D. in 1985 at the Lublin University of Technology, and D. Sc. in 2002 at the National University Lviv Polytechnic, Ukraine. In 2009 he obtained a title of professor granted by the President of Poland. In his research he mainly deals with process control, optoelectronics, digital data analysis and also heat processes or solid state physics. Particular attention is paid to the use optoelectronic technology in the monitoring and diagnostics of thermal processes. He is a member of Optoelectronics Section of the Committee of Electronics and Telecommunications of the Polish Academy of Sciences; Metrology Section of the Committee of Metrology and Scientific Equipment of the Polish Academy of Sciences and many other scientific organisations of Poland as well as Europe and Asia. In total, he has published over 50 books, over 400 papers, and authored several patents. He is also a member of the editorial board of numerous international and national scientific and technical journals.

• 1. Introduction2. Major challenges of searching for crime-related information in a text3. Existing problems of knowledge extraction from semi-structured and unstructured text 4. Concept of information extraction from text5. Relationship between the linguistic formalisms of web content texts and the real essence of the socially significant event6. Logical-linguistic model of fact extraction from a text corpus7. The identification of crime-related information in the Kazakh-language text corpora8. The Kazakh-Russian parallel corpus of criminal texts9. A parallel corpus-based approach to the crime event extraction10. Conclusion