“…As part of the prediction of market performance, we mention a study of annual reports of more than a thousand of firms (see Balakrishnan et al, 2010), and also the analysis of financial reports through the connection between the words and the financial risk of various companies and banks (see Tsai and Wang, 2017;Agarwal et al, 2019). Furthermore, it is worthy to mention the case of Kahveci and Odabaş (2016), in which the textual analysis has been employed to explore the semantic of monetary policy documents from the Federal Reserve Board, In a more general economic and financial framework we can evidence many works that deepen text mining on the analysis of stock markets, stock returns, trading and, more generally, on the ability of transforming qualitative variables into quantitative measures to improve financial fore-casts and market predictions (see, e.g. Blasco et al, 2005;Schumaker and Chen, 2009;Groth and Muntermann, 2011;Huang and Li, 2011;Loughran and McDonald, 2016;Mishra and Singh, 2018).…”