Text Mining Program based on Financial News and its Impact on the Stock Price

Student: Shulgin Oleg

Educational Programme: Business Informatics (Master)

Year of Graduation: 2020

Now the financial literacy of the population is increasing and people try to learn how to use various financial instruments. Nowadays, prices are highly dependent on the news. Moreover, the market's response to changes in the agenda is extremely fast. The problem is in the fact that at the moment there are no programmes that are capable to assess the impact of news on the price of financial instrument.T he practical significance of this work is the fact that a program will be created that allows people to track the price of shares based on financial news. The object of research is news. The subject of the research is text information presented in a news publication and quotes of the share price of the work and its influence on the price. This work consists of the following parts: the first chapter describes the theoretical foundations and history of the research; the second Chapter selected and described the tools for developing infrastructure for predicting stock prices; the final Chapter provides a practical application and description of the program.

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