Abstract
Abstract
Before purchasing service at a bank, most consumers try to find both negative and positive reviews about this bank on the Internet at the same time. Customer reviews of the Russian Agricultural Bank - an object of research. Gunning fog-index is the primary method used in the study to determine average indices. We used the Textstat package in a Python programming language. We added a correction 0.78 factor applicable to the analysis of the text in Russian. The research results are reviews with a score of 5 points that have a lower fog-index, which allows us to talk about the difference between users.
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