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. The...
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| Format: | Article |
| Language: | English |
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Instituto Nacional de Estatística | Statistics Portugal
2020-10-01
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| Series: | Revstat Statistical Journal |
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| Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/313 |
| _version_ | 1817998374234750976 |
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| author | Renata G. Alcoforado Alfredo D. Egídio dos Reis |
| author_facet | Renata G. Alcoforado Alfredo D. Egídio dos Reis |
| author_sort | Renata G. Alcoforado |
| collection | DOAJ |
| description |
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.
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| first_indexed | 2024-04-14T02:52:19Z |
| format | Article |
| id | doaj.art-511d83fe7f784c6dbe39dbbc2ad80241 |
| institution | Directory Open Access Journal |
| issn | 1645-6726 2183-0371 |
| language | English |
| last_indexed | 2024-04-14T02:52:19Z |
| publishDate | 2020-10-01 |
| publisher | Instituto Nacional de Estatística | Statistics Portugal |
| record_format | Article |
| series | Revstat Statistical Journal |
| spelling | doaj.art-511d83fe7f784c6dbe39dbbc2ad802412022-12-22T02:16:14ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712020-10-0118410.57805/revstat.v18i4.313Text Mining and Ruin TheoryRenata G. Alcoforado 0Alfredo D. Egídio dos Reis 1Universidade Federal de PernambucoUniversidade de Lisboa 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. https://revstat.ine.pt/index.php/REVSTAT/article/view/313big dataunstructured datatext miningrisk theoryruin theorydependence modeling |
| spellingShingle | Renata G. Alcoforado Alfredo D. Egídio dos Reis Text Mining and Ruin Theory Revstat Statistical Journal big data unstructured data text mining risk theory ruin theory dependence modeling |
| title | Text Mining and Ruin Theory |
| title_full | Text Mining and Ruin Theory |
| title_fullStr | Text Mining and Ruin Theory |
| title_full_unstemmed | Text Mining and Ruin Theory |
| title_short | Text Mining and Ruin Theory |
| title_sort | text mining and ruin theory |
| topic | big data unstructured data text mining risk theory ruin theory dependence modeling |
| url | https://revstat.ine.pt/index.php/REVSTAT/article/view/313 |
| work_keys_str_mv | AT renatagalcoforado textminingandruintheory AT alfredodegidiodosreis textminingandruintheory |