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Development of Analytical Service with Chatbot Interface

Student: Kuznetsov Georgy

Supervisor: Rostislav Yavorskiy

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2018

Since the creation of the blockchain protocol, the number of studies on this technology has rapidly grew. Researchers have to navigate through a huge number of publications, and even if it'll only require to get acquainted with the annotation, it will take a long time. The analytical service offered in this work will allow the user to find the necessary publications through the chatbot interface with ease, in addition to providing analytics on all available articles in the database. At first such important properties of articles as author, title, annotation, year, etc. are extracted. The data is processed, after which the necessary parameters are derived and based on it, the proximity of scientific articles is calculated. Then, using the chatbot interface, the user is given access to the collected information. In this paper, we will in detail examine the subject area of ​​the study, its relevance, the features of data storage, as well as the methodology for analyzing data and creating chatbot.

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