Department of Biomedicine and Prevention, Biomedicine and Prevention Department, University of Rome 'Tor Vergata', via Montpellier 1, 00133, Rome, Italy.
Department of Social Research and Sociological Methodology (Ri.S.Me.S.), University of Rome 'La Sapienza', C.so Italia 38A, 00198 Rome, Italy.
Eur J Cardiovasc Nurs. 2023 Jul 19;22(5):547-551. doi: 10.1093/eurjcn/zvad021.
In recent years, the increase in textual data production has meant that researchers require faster text analysis techniques and software to reliably produce knowledge for the scientific-nursing community. Automatic text data analysis opens the frontiers to a new research area combining the depth of analysis typical of qualitative research and the stability of measurements required for quantitative studies. Thanks to the statistical-computational approach, it proposes to study more or less extensive written texts produced in natural language to reveal lexical and linguistic worlds and extract useful and meaningful information for researchers. This article aims to provide an overview of this methodology, which has been rarely used in the nursing community to date.
近年来，文本数据的产量增加意味着研究人员需要更快的文本分析技术和软件，以便为科学护理界可靠地生成知识。自动文本数据分析为一个新的研究领域开辟了道路，该领域结合了定性研究的深度分析和定量研究所需的测量稳定性。得益于统计计算方法，它提出了研究用自然语言生成的或多或少广泛的书面文本，以揭示词汇和语言世界，并为研究人员提取有用和有意义的信息。本文旨在对这一迄今为止在护理界很少使用的方法进行概述。
