This project aims to assess whether tapping into the wealth of information that Twitter has to offer can positively affect the prediction of time series. We intend to accomplish our goal by means of applying multiple machine learning predictive models and text mining techniques, all organized within a framework that should be general enough to allow the realization of any similar task.