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Authors: Panagiotis Satos 1 and Chrysostomos Stylios 1 ; 2

Affiliations: 1 Department of Informatics and Telecommunications, University of Ioannina, Arta, Greece ; 2 Industrial Systems Institute, Athena Research Center, Patras, Greece

Keyword(s): n-grams, Multinomial Naïve Bayes Classifier, Text Mining, Machine Learning, Natural Language Processing, Theological Texts, Identifying Authors.

Abstract: This work proposes a methodology consisting of splitting and pre-processing of Koine Greek dialect texts, examining word n-grams, character n-grams, multiple-length grams, and then suggests the best value for n of n-grams. The Multinomial Naïve Bayes Classifier is used along with the n-grams to identify the author of the text “Epistle to the Hebrews” between Paul and Luke, who are considered the most likely authors of this Epistle. In order to create a balanced dataset, the texts of Apostle Paul’s Epistles and the book “Acts of the Apostles” by Luke the Evangelist are used. This work aims to identify the author of the text “Epistle to the Hebrews” and reply to the theological question about its paternity.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Satos, P. and Stylios, C. (2022). Examining n-grams and Multinomial Naïve Bayes Classifier for Identifying the Author of the Text “Epistle to the Hebrews”. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 447-458. DOI: 10.5220/0010970300003116

@conference{nlpinai22,
author={Panagiotis Satos. and Chrysostomos Stylios.},
title={Examining n-grams and Multinomial Naïve Bayes Classifier for Identifying the Author of the Text “Epistle to the Hebrews”},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI},
year={2022},
pages={447-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010970300003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI
TI - Examining n-grams and Multinomial Naïve Bayes Classifier for Identifying the Author of the Text “Epistle to the Hebrews”
SN - 978-989-758-547-0
IS - 2184-433X
AU - Satos, P.
AU - Stylios, C.
PY - 2022
SP - 447
EP - 458
DO - 10.5220/0010970300003116
PB - SciTePress