As a representative of post-war surrealist sculptor, Alberto Giacometti’s painting and sculpture style has experienced from realism to surrealism and finally back to the deeper study of human beings, forming his own unique style of work. In this paper, text clustering method is used for data visualization, TF-IDF text keyword extraction method and K-means++ clustering algorithm are used to mine Giacometti’s painting art style, and twopair and two-independent t-test methods are used to analyze the differences existing in different painting art styles. The study categorized Giacometti’s painting art styles into 8 clusters and the clustering module value = 0.9146 with Q value far <0.3, clustering is significant. There are significant differences in different artistic painting styles, Surrealist vs. Impressionist, Impressionist vs. Fauvist, Romantic vs. Expressionist styles are significantly different. There is no significant difference between the styles of Surrealists and Romantic Poets and Expressionists.
