Open AccessCustomer feedback analysis: case of Russian agricultural bank
Author(s) -
А. А. Урасова,
П.А. Кузнецов,
Andrei Plotnikov
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/548/2/022047
Subject(s) - python (programming language) , constructive , the internet , computer science , programming language , world wide web , process (computing)
The paper considers a comparative analysis of reviews (2008-2019) on the Internet about the Russian Agricultural Bank. We visualized the graphs using the Matplotlib package in the Python programming language. An interesting observation is a fact that users are more likely to share negative experiences and reviews than positive emotions. In this regard, negative reviews in all their diversity can be found much more often. Negative reviews can be useful for the company; however, only if they are written by real customers and carry enough constructive criticism.