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Authors: Diego Santos Kieckbusch ; Geraldo P. R. Filho ; Vinicius Di Oliveira and Li Weigang

Affiliation: Departamento de Ciência da Computação, Universidade de Brasilia, Brasilia, Brazil

Keyword(s): Convolutional Neural Network, Invoice Classification, Short-text Classification, Tax Auditing, Few-word Classification.

Abstract: This research presents a Convolutional Neural Network (CNN) based system, named SCAN-NF, to classify Consumer Electronic Invoices (NFC-e) based on product description. Due to how individual issuers submit Consumer Electronic Invoices, processing these invoices is often a challenging task. Information reported is often incomplete or presents mistakes. Before any meaningful processing over these invoices, it is necessary to assess the product represented in each document. SCAN-NF is developed to identify correct products codes in electronic invoices based on short-text product descriptions. Real data from Brazilian NFC-e and NF-e documents related to B2B and retail transactions are used in experiments. Comparing base single model and proposed ensemble model approaches, the evaluation results using recall, precision, and accuracy show the satisfaction of the developed system.

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Paper citation in several formats:
Kieckbusch, D.; Filho, G.; Di Oliveira, V. and Weigang, L. (2021). SCAN-NF: A CNN-based System for the Classification of Electronic Invoices through Short-text Product Description. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-536-4; ISSN 2184-3252, SciTePress, pages 501-508. DOI: 10.5220/0010715200003058

@conference{webist21,
author={Diego Santos Kieckbusch. and Geraldo P. R. Filho. and Vinicius {Di Oliveira}. and Li Weigang.},
title={SCAN-NF: A CNN-based System for the Classification of Electronic Invoices through Short-text Product Description},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST},
year={2021},
pages={501-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010715200003058},
isbn={978-989-758-536-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST
TI - SCAN-NF: A CNN-based System for the Classification of Electronic Invoices through Short-text Product Description
SN - 978-989-758-536-4
IS - 2184-3252
AU - Kieckbusch, D.
AU - Filho, G.
AU - Di Oliveira, V.
AU - Weigang, L.
PY - 2021
SP - 501
EP - 508
DO - 10.5220/0010715200003058
PB - SciTePress

- Science and Technology Publications, Lda.
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