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学术期刊因其专业性、学术性、创新性和文本保存形式,较适于应用文本数据挖掘开展选题策划。基于文本挖掘的学术期刊选题策划应在期刊编辑学原则的指导下,做到选题策划流程再造。本研究通过案例法阐述了文本数据挖掘应用于“一流大学与一流学科建设”“高等教育国际化”两个选题的策划过程,结合编辑实践经验,提出了一条基于文本数据挖掘技术的学术期刊选题策划创新路径。
Because of its professionalism, academic, innovative and text preservation, academic journals are more suitable for the selection of topics using text data mining. Under the guidance of the principle of journal editors, the selection of academic journals based on text mining should be reengineered. This case study elaborates the planning process of text data mining applied to two topics of “First-class University and First-class Discipline Construction” and “Internationalization of Higher Education” by case method. Based on the editing experience, a text data mining Technical academic journal selection and innovation path planning.