Text Mining and Ruin Theory

This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory. In our study, the subject to be analyzed is composed by 27 published papers of the risk and ruin theory topic, area of actuarial science. They...

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Bibliographic Details
Published inRevstat Vol. 18; no. 4
Main Authors Renata G. Alcoforado, Alfredo D. Egídio dos Reis
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatística | Statistics Portugal 01.10.2020
Subjects
big data
dependence modeling
risk theory
ruin theory
text mining
unstructured data
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ISSN1645-6726
2183-0371
DOI10.57805/revstat.v18i4.313

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Summary:This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory. In our study, the subject to be analyzed is composed by 27 published papers of the risk and ruin theory topic, area of actuarial science. They were coded into 32 categories. For the purpose, all data was analyzed and figures were produced using the software NVivo 11 plus. Software NVivo is a specialized tool in analyzing unstructured data, although it is commonly used just for qualitative research. We used it for Quali-Quant analysis.
ISSN:1645-6726
2183-0371
DOI:10.57805/revstat.v18i4.313