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Review

Text Mining and Topic Analysis for Ostriches’ Welfare Based on Systematic Literature Review from 1983 to 2023

by
Annalisa Previti
1,
Vito Biondi
1,
Mehmet Erman Or
2,
Bengü Bilgiç
2,
Michela Pugliese
1,* and
Annamaria Passantino
1
1
Department of Veterinary Sciences, University of Messina, 98168 Messina, Italy
2
Faculty of Veterinary Medicine, Istanbul University-Cerrahpasa, 34098 Istanbul, Turkey
*
Author to whom correspondence should be addressed.
Vet. Sci. 2024, 11(10), 477; https://doi.org/10.3390/vetsci11100477 (registering DOI)
Submission received: 13 August 2024 / Revised: 9 September 2024 / Accepted: 23 September 2024 / Published: 5 October 2024

Simple Summary

The present study aimed to provide critical analysis in a systematic review of the peer-reviewed literature indexed in the Scopus database to analyze the studies on ostriches’ welfare in the last forty years in order to identify knowledge gaps in the literature. A bibliometric analysis of metadata and content analysis based on text mining and topic modeling techniques has been conducted on a sample of approximately n. 987 publications, confirming the increased focus on ostriches’ welfare.

Abstract

Ostriches can be utilized as multipurpose animals suitable for producing meat, eggs, feathers, and leather. This growing interest in ostrich farming leads to an increased demand for comprehensive information on their management. But, little attention is paid to the consequences for their welfare. The study aimed to perform a research literature analysis on ostriches’ welfare using the text mining (TM) and topic analysis (TA) methods. It identifies prevailing topics, summarizes their temporal trend within the last forty years, and highlights potential research gaps. According to PRISMA guidelines, a literature exploration was achieved using the Scopus® database, retaining keywords about ostriches’ welfare. Papers distributed in the English language from 1983 to 2023 were included. Descriptive statistics, TM, and TA were applied to a total of n. 122 documents included. The findings revealed an increasing trend in research records since 1994. TM recognized the terms with the highest weighted frequency and TA identified the main topics of the research area, in the following order: “health and management”, “feeding and nutrition”, “welfare reproduction”, “egg production”, and “welfare during transport”. The study confirms the increased focus on ostriches’ welfare but shows that further studies are required to ensure the welfare of this species.
Keywords: ostriches; welfare; machine learning; research; husbandry; text mining; topic analysis ostriches; welfare; machine learning; research; husbandry; text mining; topic analysis

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MDPI and ACS Style

Previti, A.; Biondi, V.; Or, M.E.; Bilgiç, B.; Pugliese, M.; Passantino, A. Text Mining and Topic Analysis for Ostriches’ Welfare Based on Systematic Literature Review from 1983 to 2023. Vet. Sci. 2024, 11, 477. https://doi.org/10.3390/vetsci11100477

AMA Style

Previti A, Biondi V, Or ME, Bilgiç B, Pugliese M, Passantino A. Text Mining and Topic Analysis for Ostriches’ Welfare Based on Systematic Literature Review from 1983 to 2023. Veterinary Sciences. 2024; 11(10):477. https://doi.org/10.3390/vetsci11100477

Chicago/Turabian Style

Previti, Annalisa, Vito Biondi, Mehmet Erman Or, Bengü Bilgiç, Michela Pugliese, and Annamaria Passantino. 2024. "Text Mining and Topic Analysis for Ostriches’ Welfare Based on Systematic Literature Review from 1983 to 2023" Veterinary Sciences 11, no. 10: 477. https://doi.org/10.3390/vetsci11100477

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