Assessment of Congruence of Unstructured Data Using Text Mining Technology

被引：1

作者：

Kovtun, Denis ^{[1
]}

机构：

[1] Ural State Univ Econ, Dept Business Informat, Ekaterinburg, Russia

来源：

2021 IEEE 23RD CONFERENCE ON BUSINESS INFORMATICS, CBI 2021, VOL 2 | 2021年

关键词：

text mining; RStudio; the digital economy; open data; data mining;

D O I：

10.1109/CBI52690.2021.10067

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The analysis of unstructured data in the form of text requires careful scientific research, since the quality of the analysis affects the decision-making processes in the digital economy. The article proposes a variant of text analysis using the Text Mining technology in the R programming language. The conducted research is aimed at creating an expert assessment of the congruence of text data using the technology of unstructured data analysis.

引用

页码：163 / 166

页数：4

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