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Authors: Nina Khairova 1 ; Anastasiia Kolesnyk 1 ; Orken Mamyrbayev 2 and Kuralay Mukhsina 3

Affiliations: 1 National Technical University ”Kharkiv Polytechnic Institute”, 2, Kyrpychova str., 61002, Kharkiv and Ukraine ; 2 Institute of Information and Computational Technologies, 125, Pushkin str., 050010, Almaty and Republic of Kazakhstan ; 3 Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty and Republic of Kazakhstan

ISBN: 978-989-758-372-8

Keyword(s): Text Quality, Readability Indexes, Linguistic Features, Statistical Characteristics of a Document, Simple Wikipedia, Enterprise Information Systems.

Abstract: Currently, businesses increasingly use various external big data sources for extracting and integrating information into their own enterprise information systems to make correct economic decisions, to understand customer needs, and to predict risks. The necessary condition for obtaining useful knowledge from big data is analysing high-quality data and using quality textual data. In the study, we focus on the influence of readability and some particular features of the texts written for a global audience on the texts quality assessment. In order to estimate the influence of different linguistic and statistical factors on the text readability, we reviewed five different text corpora. Two of them contain texts from Wikipedia, the third one contains texts from Simple Wikipedia and two last corpora include scientific and educational texts. We show linguistic and statistical features of a text that have the greatest influence on the text quality for business corporations. Finally, we propos e some directions on the way to automatic predicting the readability of texts in the Web. (More)

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Paper citation in several formats:
Khairova, N.; Kolesnyk, A.; Mamyrbayev, O. and Mukhsina, K. (2019). The Influence of Various Text Characteristics on the Readability and Content Informativeness.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 462-469. DOI: 10.5220/0007755004620469

@conference{iceis19,
author={Nina Khairova. and Anastasiia Kolesnyk. and Orken Mamyrbayev. and Kuralay Mukhsina.},
title={The Influence of Various Text Characteristics on the Readability and Content Informativeness},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={462-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007755004620469},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - The Influence of Various Text Characteristics on the Readability and Content Informativeness
SN - 978-989-758-372-8
AU - Khairova, N.
AU - Kolesnyk, A.
AU - Mamyrbayev, O.
AU - Mukhsina, K.
PY - 2019
SP - 462
EP - 469
DO - 10.5220/0007755004620469

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