People’s interest in paintings has increased as artists have easier access to an audience. However, at times, laypersons may not understand the significance of a painting. With the development of computer science, it has become possible to analyze paintings using machines, but some limitations remain. In this paper, we present a learning tool to help analyze the sensitivity of a given painting. To this end, the proposed system provides users with the ability to predict the emotions expressed by a painting through repeated learning of a matched painting. Using this learning tool, users can improve their ability to understand paintings.