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Facial Recognition Linguistic Structures in the Chat-Bots Designed to Automate Reporting

Student: Natarkin Aleksey

Supervisor: Eduard Babkin

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Business Informatics (Master)

Year of Graduation: 2019

In the modern world of digitalization of the economy, information plays an important role in our life. One of the main sources of information is a database. Database and database technologies have a great influence on the development of corporate services and applications. Almost all IT applications store and retrieve information or data from a database. Database management systems (DBMS) are widely used for storing and retrieving data. However, databases are often difficult to use, as their interface is rather non-trivial from the point of view of interaction with the end user. For data access, structured data access methods or a specialized data access language such as SQL (NoSQL) are used. However, this approach requires specialized theoretical framework and skills to perform the required data queries. Natural language processing (NLP) is a field of computer science, artificial intelligence and linguistics associated with the interaction between computers and human (natural) languages. Thus, NLP refers to the field of human-computer interaction. Understanding natural language is a major problem for any NLP, which allows computers to extract values ​​from queries in natural language. NLP is based on a number of disciplines, such as computer and information sciences, linguistics, mathematics, electrical engineering and electronics, artificial intelligence, psychology of robotics, agriculture, weather forecasting, etc.

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