Nho Ju-Hee, Park Sookkyoung
College of Nursing, Jeonbuk National University, Jeonju, Korea.
Korean J Women Health Nurs. 2023 Jun;29(2):128-136. doi: 10.4069/kjwhn.2023.06.20.1. Epub 2023 Jun 30.
Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling.
The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling.
Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women."
The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.
主题建模是一种文本挖掘技术，可从文本数据中提取概念，并在上下文环境中揭示语义结构和潜在的知识框架。本研究旨在通过文本网络分析和主题建模，确定韩国《女性健康护理杂志》（KJWHN）上发表的女性健康护理领域的主要关键词和网络结构，以辨别研究趋势。
本研究以2011年1月至2021年12月在KJWHN上发表的373篇文章中带有英文摘要的论文为研究对象。采用文本网络分析和主题建模方法，分析包括五个步骤：（1）数据收集；（2）词汇提取与精炼；（3）关键词提取与网络创建；（4）网络中心性分析与关键主题选择；（5）主题建模。
通过主题建模分析提取了六个主要关键词，每个关键词对应一个主题：“妇科肿瘤”“更年期健康”“健康行为”“不孕症”“转型期女性健康”和“女性护理教育”。
目标研究中的潜在主题主要聚焦于各年龄段女性的健康。与女性健康相关的研究随着时代的变化而不断发展，未来需要进一步取得进展。未来关于女性健康护理的研究应探索反映社会趋势变化的各种主题，研究方法也应相应地多样化。
