Hotspots and trends of big data research in Chinese medicine based on text mining

This paper uses text mining techniques to study the hotspots and trends of Chinese medicine big data research. This study retrieved literature related to “Chinese medicine + big data” from China Knowledge Network and Wan fang database as a collection of research documents. Using python3 and related toolkits, text mining was performed on the relevant literature. Through cluster analysis, we obtained the rules of medication and the construction of big data platforms for Chinese medicine, which have been the hotspots of research in recent years; using co-occurrence analysis, knowledge graph analysis and other big data-related techniques to study the rules of medication, the rules of formulae, the thinking on the application of big data in Chinese medicine, the current situation and the construction of platforms, which are still the future research trends. The use of text mining technology can provide an intuitive and systematic representation of current hotspots as well as future development trends, and can provide methodological summaries and ideas for the modernization and development of Chinese medicine.