Abstract:The study summarized the treatment rules of Sinomenium acutum (Menispermaceae, SA) using text mining techniques. Methods: Firstly, we conducted text-mining by collecting related literatures about SA from Chinese Biomedical Literature (CBM) Database. Then structured query language was used to do data processing as well as data stratification. Algorithm was used to analyze the basic laws of symptom, TCM pattern, TCM herb compatibility and drug combination. Results:Sinomenium Acutum was mainly used to treat diseases with symptoms such as ache, swelling, stiffness, malformation, etc. Wind, cold, wetness, heat, sputum, stasis and deficiency were the main etiology and pathology. Sinomenium Acutum was always used in combination with herbs with the functions of dispelling wind and eliminating dampness, nourishing the blood and promoting blood circulation, dredging collaterals, warming meridians and nourishing kidney. Conclusion: By text mining we summarized the treatment rules of Sinomenium Acutum in a systematic, comprehensive and precise way, providing literature basis for future clinical application and drug research.