Data on post bank customer reviews from web

This document describes a set of customer feedback data concerning the Post Bank. We collected data from 16,659 feedback lines using the Beautiful Soup package from the authoritative site banki.ru is selected as the source of data for collection. The dataset is compiled to monitor the level of trust...

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Detalles Bibliográficos
Autores principales: Plotnikov, Andrei, Shcheludyakov, Alexey, Cherdantsev, Vadim, Bochkarev, Alexey, Zagoruiko, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Business, Management and Accounting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452671/
https://www.ncbi.nlm.nih.gov/pubmed/32885008
http://dx.doi.org/10.1016/j.dib.2020.106152
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author Plotnikov, Andrei
Shcheludyakov, Alexey
Cherdantsev, Vadim
Bochkarev, Alexey
Zagoruiko, Igor
author_facet Plotnikov, Andrei
Shcheludyakov, Alexey
Cherdantsev, Vadim
Bochkarev, Alexey
Zagoruiko, Igor
author_sort Plotnikov, Andrei
collection PubMed
description This document describes a set of customer feedback data concerning the Post Bank. We collected data from 16,659 feedback lines using the Beautiful Soup package from the authoritative site banki.ru is selected as the source of data for collection. The dataset is compiled to monitor the level of trust of bank customers in its banking service. The data presents text reviews for 2013 - 2019 and includes, with or without ratings. Scientists can predict feedback ratings with an empty value in the future. We added additional columns to the dataset with official comments of bank employees, as well as values for the fog-index by Gunning parameter, which is used for the readability of the text. The data can be useful for customer service managers to identify problems in customer service and solve these problems, to assess the dynamics of the appearance of positive and negative reviews of bank customers.
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spelling pubmed-74526712020-09-02 Data on post bank customer reviews from web Plotnikov, Andrei Shcheludyakov, Alexey Cherdantsev, Vadim Bochkarev, Alexey Zagoruiko, Igor Data Brief Business, Management and Accounting This document describes a set of customer feedback data concerning the Post Bank. We collected data from 16,659 feedback lines using the Beautiful Soup package from the authoritative site banki.ru is selected as the source of data for collection. The dataset is compiled to monitor the level of trust of bank customers in its banking service. The data presents text reviews for 2013 - 2019 and includes, with or without ratings. Scientists can predict feedback ratings with an empty value in the future. We added additional columns to the dataset with official comments of bank employees, as well as values for the fog-index by Gunning parameter, which is used for the readability of the text. The data can be useful for customer service managers to identify problems in customer service and solve these problems, to assess the dynamics of the appearance of positive and negative reviews of bank customers. Elsevier 2020-08-08 /pmc/articles/PMC7452671/ /pubmed/32885008 http://dx.doi.org/10.1016/j.dib.2020.106152 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Business, Management and Accounting
Plotnikov, Andrei
Shcheludyakov, Alexey
Cherdantsev, Vadim
Bochkarev, Alexey
Zagoruiko, Igor
Data on post bank customer reviews from web
title Data on post bank customer reviews from web
title_full Data on post bank customer reviews from web
title_fullStr Data on post bank customer reviews from web
title_full_unstemmed Data on post bank customer reviews from web
title_short Data on post bank customer reviews from web
title_sort data on post bank customer reviews from web
topic Business, Management and Accounting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452671/
https://www.ncbi.nlm.nih.gov/pubmed/32885008
http://dx.doi.org/10.1016/j.dib.2020.106152
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