Approaches and methods of sentiment analysis applied on Dainese s.p.a.

Abstract

The thesis focuses on Sentiment Analysis and its application on the case study Dainese s.p.a., starting with an overview of methods and applications normally used for classifying and analysing customer reviews. Based on the literature, a customized method for data collection is chosen and thus decribed. The core of this method is based on a tool able to collect and classify reviews from the site Revzilla.com. This platform is widely used as a benchmark by motorbike companies, since a great number of drivers contribute reporting their experience. The aim of this work is to identify the Dainese customers' profile through the classification of customer reviews