Analytical Platform Design for Monitoring and Forecasting the Market Developement Based on Semantic Analysis by Using Machine Learning

Student: Popova Anna

Supervisor: Dmitry A. Romanov

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2021

In this study, analyzing the organization's external environment was conducted and existing solutions were analyzed. To monitor a large amount of external textual data, it was decided to design a top-level architecture of the platform that allows the development of an AI algorithm for analyzing market-based unstructured data, like the created one within the coursework. Moreover, a critical analysis of the results obtained in the course work was carried out. The reasons for the low accuracy of the developed algorithm were investigated. Changes in the data processing algorithm and retraining of the model resulted in the improvement of its quality. There are four chapters in this study. The volume of work is 45 pages.

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