Big data analytics and applications of sentiment analysis and advanced machine learning models in consumer studies

In this thesis the focus is on big data analytics, machine learning and sentiment analysis. In the first part there are some analysis performed on consumer tests with innovative machine learning methods. In the second part the main aim is a comparison of the results obtained with a sentiment analysis approach with the ones obtained from a consumer survey, in order to understand how these two methodologies can be integrated.