research-article

Improvement of transparency through mining techniques for reclassification of texts: the case of brazilian transparency portal

Authors:

Gustavo Almeida,

Claudia Cappelli,

Cristiano MacielAuthors Info & Claims

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

Article No.: 31, Pages 1 - 9

https://doi.org/10.1145/3209281.3209332

Published: 30 May 2018 Publication History

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

Improvement of transparency through mining techniques for reclassification of texts: the case of brazilian transparency portal

Pages 1 - 9

Abstract
References

Abstract

Several countries passed transparency laws requiring that governments make data about its fiscal and financial expenditures publicly available in Internet portals. Nevertheless, available data is not always synonymous with transparent data. This is the case of the Transparency Portal of Brazilian Federal Government, since key data is presented as unstructured text hindering the control of purchased items. This article describes the application of text mining techniques with the objective of reclassifying descriptive texts of unit of measurement related to the products and services procured by Federal Government in Brazil. The results of the efficacy of this model are presented, including the production of analysis based on the transformed dataset, identifying probable input errors, suspicious companies and purchasers and factors affecting procurement prices as well as presenting suggestions for future research and improvements for the way the data is inputted and made available

References

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Digital Library

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C. Cappelli, Uma abordagem para transparência em processos organizacionais utilizando aspectos, Rio de Janeiro: Doctoral dissertation, PUC-Rio., 2009.

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A. Vaccaro, P. Madsen. 2009. Corporate dynamic transparency: the new ICT-driven ethics? Ethics and Information Technology, 11 (2), 113--122.

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BRAZIL, "Providing real-time {Internet} information. Complements Law 131 of May 27, 2009.," 27 May 2009. {Online}. Available: https://www.planalto.gov.br/ccivil_03/leis/lcp/lcp131.htm.

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Cited By

Vaqueiro RVargas AEscovedo TKalinowski M(2023)Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public ResourcesProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592908(213-220)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592908
Gomes WColaço M(2022)Applications of Artificial Intelligence for Auditing and Classification of Incongruent Descriptions in Public ProcurementProceedings of the XVIII Brazilian Symposium on Information Systems10.1145/3535511.3535551(1-8)Online publication date: 16-May-2022
https://dl.acm.org/doi/10.1145/3535511.3535551
Pothong KPschetz LCatlow RMeiklejohn S(2021)Problematising Transparency Through LARP And DeliberationProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462120(1682-1694)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462120

Index Terms

Improvement of transparency through mining techniques for reclassification of texts: the case of brazilian transparency portal
1. Applied computing
  1. Computers in other domains
    1. Computing in government
      1. E-government

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dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

May 2018

889 pages

ISBN:9781450365260

DOI:10.1145/3209281

Conference Chairs:
Marijn Janssen
Delft University of Technology, Netherlands
,
Soon Ae Chun
City University of New York (CUNY), USA
,
Vishanth Weerakkody
Bradford University, UK
,
Editors:
Anneke Zuiderwijk
Delft University of Technology, Netherlands
,
Charles C. Hinnant
Florida State University, USA

Copyright © 2018 ACM.

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Published: 30 May 2018

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dg.o '18

dg.o '18: 19th Annual International Conference on Digital Government Research

May 30 - June 1, 2018

Delft, The Netherlands

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Cited By

Vaqueiro RVargas AEscovedo TKalinowski M(2023)Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public ResourcesProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592908(213-220)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592908
Gomes WColaço M(2022)Applications of Artificial Intelligence for Auditing and Classification of Incongruent Descriptions in Public ProcurementProceedings of the XVIII Brazilian Symposium on Information Systems10.1145/3535511.3535551(1-8)Online publication date: 16-May-2022
https://dl.acm.org/doi/10.1145/3535511.3535551
Pothong KPschetz LCatlow RMeiklejohn S(2021)Problematising Transparency Through LARP And DeliberationProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462120(1682-1694)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462120

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