Web Mining for Estimating Regulatory Blockchain Readiness

The regulatory landscape for cryptocurrencies and blockchain tokens is a critical factor shaping business decisions and opportunities. This study proposes a computational model that leverages Web mining through search engines to quantitatively estimate the regulatory readiness of countries in relation to cryptocurrencies. The model’s performance is validated through experimental trials supplemented with un- supervised clustering techniques for deeper analysis of the derived estimations. The findings demonstrate the effectiveness of the model in assessing regulatory tendencies and offer valuable insights for policymakers and industry stakeholders. This algorithmic approach presents an algorithmic methodology over manual regulatory assessments and subjective methods, showcasing its potential to guide regulatory frameworks in the rapidly evolving space of cryptocurrencies.