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Authors: Robert A. N. de Oliveira and Methanias Colaço Júnior

Affiliation: UFS - Universidade Federal de Sergipe, Brazil

ISBN: 978-989-758-247-9

Keyword(s): Dimensionality Reduction, Experimental Analysis, Jurisprudence, Stemming.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Performance Evaluation and Benchmarking ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Stemming algorithms are commonly used during textual preprocessing phase in order to reduce data dimensionality. However, this reduction presents different efficacy levels depending on the domain it is applied. Hence, this work is an experimental analysis about the dimensionality reduction by stemming a veracious base of judicial jurisprudence formed by four subsets of documents. With such document base, it is necessary to adopt techniques that increase the efficiency of storage and search for such information, otherwise there is a loss of both computing resources and access to justice, as stakeholders may not find the document they need to plead their rights. The results show that, depending on the algorithm and the collection, there may be a reduction of up to 52\% of these terms in the documents. Furthermore, we have found a strong correlation between the reduction percentage and the quantity of unique terms in the original document. This way, RSLP algorithm was the most effective in terms of dimensionality reduction, among the stemming algorithms analyzed, in the four collections studied and it was excelled when applied to judgments of Appeals Court. (More)

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Paper citation in several formats:
N. de Oliveira, R. and Colaço Júnior, M. (2017). Assessing the Impact of Stemming Algorithms Applied to Judicial Jurisprudence - An Experimental Analysis.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 99-105. DOI: 10.5220/0006317100990105

@conference{iceis17,
author={Robert A. N. de Oliveira. and Methanias Cola\c{C}o Júnior.},
title={Assessing the Impact of Stemming Algorithms Applied to Judicial Jurisprudence - An Experimental Analysis},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={99-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006317100990105},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Assessing the Impact of Stemming Algorithms Applied to Judicial Jurisprudence - An Experimental Analysis
SN - 978-989-758-247-9
AU - N. de Oliveira, R.
AU - Colaço Júnior, M.
PY - 2017
SP - 99
EP - 105
DO - 10.5220/0006317100990105

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