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

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 XGB...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2020-08, Vol.548 (2), p.22042
Main Authors: Akhmetshin, E M, Plotnikov, A V
Format: Article
Language:English
Subjects:
Agriculture
Content analysis
Data mining
Linguistics
Neural networks
Reviews
Russian language
Sentiment analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/548/2/022042