Sentiment analysis of client reviews of the Russian Agricultural Bank service and predicted rating reviews

dc.contributor.author	Akhmetshin E.M.
dc.contributor.author	Plotnikov A.V.
dc.date.accessioned	2021-02-25T06:53:14Z
dc.date.available	2021-02-25T06:53:14Z
dc.date.issued	2020
dc.identifier.issn	1755-1307
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161270
dc.description.abstract	© 2020 Published under licence by IOP Publishing Ltd. The paper provides a sentimental analysis of reviews of the Russian Agriculture Bank service. An analysis of the sentiment of a text is a class of methods for the content analysis of texts in computer linguistics for the automated detection of emotional assessment-sentiment. As methods, we use XGBoost, neural networks. In work, we determine the tone of reviews with a rating of three, since we can not always attribute reviews to good or bad; we also determine the sentiment of reviews without a score. As a result, it was determined that the main array of reviews about the bank's service has a negative sentiment.
dc.relation.ispartofseries	IOP Conference Series: Earth and Environmental Science
dc.title	Sentiment analysis of client reviews of the Russian Agricultural Bank service and predicted rating reviews
dc.type	Conference Paper
dc.relation.ispartofseries-issue	2
dc.relation.ispartofseries-volume	548
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS17551307-2020-548-2-SID85091184661

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.