Throughout the human history, people and societies have expressed their opinions about each other through different channels. Since the establishment of the internet media, it has been easier to spread an opinion or purpose to a wider audience. Internet Media not only helped people in the same group to be aware of each other, but also making them aware of different-minded groups. Considering this fact, the interactions and views of different communities with each other can be examined through the news made by their media. In the scope of this study, it is aimed to measure the level of the relations of the selected countries through the news they make about each other and to present the results of these measurements to the users in various ways. The closeness of the analysis to reality is directly related to the size of the news data set to be used. The results of the analyzes are presented to the user, both verbally, numerically and visually, together with many header information, with the aim of providing an inclusive understanding of the relationship between the countries chosen by the user. The developed application of three basic steps; finding which sentence is related to which country in the related news; sentiment analysis of the extracted sentences using VADER; presenting the results of the analysis to the user in a rich way with an interactive user interface.