This study aims to demonstrate the capacity of natural language processing and topic modeling to manage and interpret the vast quantities of scholarly publications in the landscape of stroke research. These tools can expedite the literature review process, reveal hidden themes, and track rising research areas. Our study involved reviewing and analyzing articles published in five prestigious stroke journals, namely Stroke, International Journal of Stroke, European Stroke Journal, Translational Stroke Research, and Journal of Stroke and Cerebrovascular Diseases. The team extracted document titles, abstracts, publication years, and citation counts from the Scopus database. BERTopic was chosen as the topic modeling technique. Using linear regression models, current stroke research trends were identified. Python 3.1 was used to analyze and visualize data. Out of the 35,779 documents collected, 26,732 were classified into 30 categories and used for analysis. "Animal Models," "Rehabilitation," and "Reperfusion Therapy" were identified as the three most prevalent topics. Linear regression models identified "Emboli," "Medullary and Cerebellar Infarcts," and "Glucose Metabolism" as trending topics, whereas "Cerebral Venous Thrombosis," "Statins," and "Intracerebral Hemorrhage" demonstrated a weaker trend. The methodology can assist researchers, funders, and publishers by documenting the evolution and specialization of topics. The findings illustrate the significance of animal models, the expansion of rehabilitation research, and the centrality of reperfusion therapy. Limitations include a five-journal cap and a reliance on high-quality metadata.

中文翻译：

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中风相关期刊的趋势：使用主题建模检查出版模式

本研究旨在展示自然语言处理和主题建模的能力，以管理和解释中风研究领域的大量学术出版物。这些工具可以加快文献综述过程、揭示隐藏的主题并跟踪新兴的研究领域。我们的研究涉及回顾和分析五种著名的中风期刊上发表的文章，即《中风》、《国际中风杂志》、《欧洲中风杂志》、《转化中风研究》以及《中风和脑血管疾病杂志》。该团队从 Scopus 数据库中提取了文档标题、摘要、出版年份和引用计数。选择 BERTopic 作为主题建模技术。使用线性回归模型，确定了当前的中风研究趋势。Python 3.1 用于分析和可视化数据。在收集的 35,779 份文件中，有 26,732 份被分为 30 个类别并用于分析。“动物模型”、“康复”和“再灌注治疗”被确定为三个最流行的主题。线性回归模型将“栓子”、“髓样和小脑梗塞”和“葡萄糖代谢”确定为热门话题，而“脑静脉血栓形成”、“他汀类药物”和“脑出血”则表现出较弱的趋势。该方法可以通过记录主题的演变和专业化来帮助研究人员、资助者和出版商。这些发现说明了动物模型的重要性、康复研究的扩展以及再灌注治疗的中心地位。限制包括五个期刊的上限和对高质量元数据的依赖。