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作 者:李文清 丁启丹 LI Wenqing;DING Qidan(College of Marxism of Chongqing University of Posts and Telecommunications,Nan’an Chongqing 400065;School of Foreign Languages of Chengdu Sport University,Chengdu Sichuan 610000,China)
机构地区:[1]重庆邮电大学马克思主义学院,重庆南岸区400065 [2]成都体育学院外国语学院,四川成都610000
出 处:《四川文理学院学报》2021年第2期104-108,共5页Sichuan University of Arts and Science Journal
摘 要:引入大数据文本挖掘方法分析人民日报、光明日报、经济日报、科技日报、学习时报、中国青年报和新京报等七家党媒中以供给侧结构性改革为篇名的1080篇报道.深化供给侧结构性改革主要聚焦于五大主题,呈现为三种演变趋势.通过分析可得出,顶层设计、理论研究、实践探索是供给侧结构性改革持续健康发展的保障和关键.This article uses big data text mining methods to analyze 1080 reports on the Structural Reform of Supply-side in seven party-medias including People’s Daily,Guangming Daily,Economic Daily,Science and Technology Daily,Learning Times,China Youth Daily,and Beijing News.Deepening the Structural Reform of Supply-side mainly focused on five major themes,showed three evolutionary trends.Through the analysis,it could be concluded that top-level design,theoretical research,and practical exploration were the guarantee and key to the sustained and healthy development of the Structural Reform of Supply-side.
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