  The regulatory framework of cryptocurrencies (and, in general, blockchain
tokens) is of paramount importance. This framework drives nearly all key
decisions in the respective business areas. In this work, a computational model
is proposed for quantitatively estimating the regulatory stance of countries
with respect to cryptocurrencies. This is conducted via web mining utilizing
web search engines. The proposed model is experimentally validated. In
addition, unsupervised learning (clustering) is applied for better analyzing
the automatically derived estimations. Overall, very good performance is
achieved by the proposed algorithmic approach.
