Health Analysis of Italian Companies through Text Mining Exploration of Supplementary Notes

This thesis aims to study the valorization of the data in the supplementary notes filed by companies together with the financial statements. This data, currently unstructured, requires preprocessing for an effective use and to satisfy business purposes such as the provision of digital services to the Chambers of Commerce, Public Administration and other users. This thesis focuses on the exploration of the supplementary notes and the application of natural language processing tools for the valorization of the filed information, with applications to cooperative societies.