关于使用文本挖掘和主题分析的辅助犬的文献概述
Emma Bassan1, Alberto Mair1, Marta De Santis1
1National Reference Centre for Animal Assisted Interventions, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.
Frontiers in veterinary science
|December 26, 2024
概括
辅助犬为患有各种疾病的人提供了显著的好处. 这项研究使用自动化文本挖掘和主题分析来审查日益增长的关于辅助犬的研究成果,为研究人员提供了有价值的见解.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 人与动物的互动
- 数据科学数据科学数据科学
背景情况:
- 狗可以作为伴侣,并且越来越多地作为有身体或精神健康状况的人的辅助动物.
- 关于辅助犬的文献广泛且快速扩展,需要有效的审查方法.
研究的目的:
- 采用创新的技术来审查有关辅助犬的文献.
- 分析辅助犬研究领域的趋势和关键主题.
主要方法:
- 在Scopus上进行了全面的文献搜索,产生了450篇文章.
- 自动化文本挖掘被用来识别在选定的文章中的突出关键字.
- 潜在的迪里克莱特分配 (LDA) 是一种生成主题分析模型,用于将文档集合分类为不同的主题.
主要成果:
- 分析提供了关于出版年,地理分布和辅助犬研究目标期刊的见解.
- 通过文本挖掘和LDA确定了该领域的关键主题和流行的术语.
- 该研究证明了自动化文本挖掘和主题分析在合成大型研究数据集方面的有效性.
结论:
- 自动化文本挖掘和主题分析是研究人员浏览复杂和广泛的辅助狗文献评论的强大工具.
- 这些方法可以补充传统的审查方法,提供效率和新的见解.
- 这些发现凸显了辅助犬研究日益重要和多方面的性质.
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