During the last years the terms Big Data and data mining are being listened to a lot, so in this project they will be explained that they are, in which they differ, their importance at present and will see some of the tools that are implemented with these two terms. Also, in recent years is increasing the use of social networks, where users give their opinion on any subject and also can upload any multimedia file, either a video or an image. Big companies are able to make any kind of prediction and extract information from any text that users have written, using Big Data and data mining. But, could it extract information from the images that users upload to know their opinion on a topic? In this project, a web page will be created, which simulates a social network, where through the use of hashtags and images, the page can know the feeling that causes a specific topic. To do this, it will be necessary to perform an analysis of the images, specifically those in which faces are detected, to determine their feelings. This analysis would be done using a technology of Big Data and data mining, with which the application will obtain a pattern with which can determine the feeling of the face. The analysis of the data extracted from the images will follow a set of steps that are carried out in any data mining project, thanks to these steps, it can be posible made modifications to the data or the configuration of the Big Data tool and data mining to improve results. As for the web application, a design will be made, and will explain the technologies that will be necessary for its creation. Finally, you will see the final result, where the web application will be displayed with the extraction of the image sentiment, thus achieving the main objective of the project.