Research Hotspots and Visual Analysis of Rural China Based on TF-IDF Algorithm

In the era of network information, visualization analysis of data flow is an effective and common means at present. Visualization analysis of data flow is adopted in all walks of life to help solve practical problems. With the continuous development of China's national strength, as the country's main policy to solve rural problems – China countryside has entered a period of vigorous development, many scholars have also produced a lot of achievements in the study of China countryside. This paper mainly relies on the data of CNKI and comprehensively uses the visualization analysis software Cite Spac, TF-IDF algorithm and other methods to carry out visual analysis on the research hotspots of China countryside , in the hope of finding the methods and rules in the construction and development of China countryside to promote the better development of China countryside , and in the hope of advancing the visualization of China countryside research.