Publication
Text mining applications to facilitate economic and food safety law enforcement
| dc.contributor.author | Magalhães, Gustavo | |
| dc.contributor.author | Faria, Brígida Mónica | |
| dc.contributor.author | Reis, Luís Paulo | |
| dc.contributor.author | Cardoso, Henrique Lopes | |
| dc.date.accessioned | 2024-05-03T09:14:23Z | |
| dc.date.available | 2024-05-03T09:14:23Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Economic and Food Safety Authority receives on a daily basis reports and complaints regarding infractions, delicts and possible food and economic crimes. These reports and complaints can be in different forms, such as e-mails, online forms, letters, phone calls and complaint books present in every establishment. This paper aims to apply text mining and classification algorithms to textual data extracted from these reports and complains in order to help identify if the responsible entity to analyze the content is, in fact, the Economic and Food Safety Authority. The paper describes text preprocessing and feature extraction procedures applied to Portuguese text data. Supervised multi-class classification methods such as Naïve Bayes and Support Vector Machine Classifiers are employed in the task. We show that a non-semantical text mining approach can achieve good results, scoring around 70% of accuracy. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Magalhães, G., Faria, B. M., & Cardoso, L. P. R. and H. L. (2019). Text mining applications to facilitate economic and food safety law enforcement (A. P. Abraham & J. Roth, Eds.; pp. 199–203). https://www.iadisportal.org/digital-library/text-mining-applications-to-facilitate-economic-and-food-safety-law-enforcement | pt_PT |
| dc.identifier.isbn | 978-989-8533-92-0 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/25451 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | IADIS | pt_PT |
| dc.relation | The authors would like to thank the IA.SAE – “Inteligência Artificial na Segurança Alimentar e Económica” project, funded by the FCT/MCTES through national funds (PIDDAC), as part of the “Programa Iniciativa Nacional Competências Digitais” e.2030 – INCoDe.2030, enrolled in the National Reform Plan | pt_PT |
| dc.relation.publisherversion | https://www.iadisportal.org/digital-library/text-mining-applications-to-facilitate-economic-and-food-safety-law-enforcement | pt_PT |
| dc.subject | Text mining | pt_PT |
| dc.subject | Economic and food safety | pt_PT |
| dc.subject | Natural language processing | pt_PT |
| dc.subject | Text classification | pt_PT |
| dc.subject | Multi-class classification | pt_PT |
| dc.title | Text mining applications to facilitate economic and food safety law enforcement | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Porto | pt_PT |
| oaire.citation.endPage | 203 | pt_PT |
| oaire.citation.issue | Single | pt_PT |
| oaire.citation.startPage | 199 | pt_PT |
| oaire.citation.title | International Conferences Big Data Analytics, Data Mining and Computational Intelligence 2019; and Theory and Practice in Modern Computing 2019 | pt_PT |
| oaire.citation.volume | 1 | pt_PT |
| person.familyName | Faria | |
| person.givenName | Brigida Monica | |
| person.identifier | R-000-T1F | |
| person.identifier.ciencia-id | 0D1F-FB5E-55E4 | |
| person.identifier.orcid | 0000-0003-2102-3407 | |
| person.identifier.rid | C-6649-2012 | |
| person.identifier.scopus-author-id | 6506476517 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 85832a40-7ef9-431a-be0c-78b45ebbae86 | |
| relation.isAuthorOfPublication.latestForDiscovery | 85832a40-7ef9-431a-be0c-78b45ebbae86 |