关键词: font-size:medium, ">中医药产业；政策文本；高频词；语义网络分析

Abstract: This article looks into the policy of Chinese medicine industry from 2008 to 2018， and selects 22 laws and regulations documents as the research object， carries out policy text analysis， and grasps the core points and development trend of China′s traditional Chinese medicine industry policy content. Based on the text mining function of ROSTCM6 software， this paper carries out word segmentation， word frequency statistics and analysis， and semantic network graph analysis of policy text， and finds that the words “quality”， “service”， “standard” and “innovation” appear more frequently； the high-frequency words that are more closely related to “traditional Chinese medicine” are “health”， “service”， “medical” and so on； “quality”， “resources”， “middle”. The words “medicinal herbs” often appear in clusters. It is suggested that China should improve the quality standards of TCM industry to improve the level of TCM medical service； establish international standards of TCM to improve the status of TCM in the world； pay attention to inheritance and innovation of TCM， and constantly improve the level of TCM science and technology.

Key words: font-size:medium, ">Chinese Medicine Industry； Policy Texts； High Frequency Words； Semantic Network Analysis