User Sentiment Tracking

Methodology

User sentiment tracking involves the systematic collection and analysis of qualitative and quantitative data to gauge the collective mood, perception, and expectations of a cryptocurrency project’s community or the broader market. Methodologies include natural language processing (NLP) of social media feeds, forum discussions, and news articles, alongside surveys and on-chain behavioral analysis. The objective is to derive actionable insights from subjective data. It quantifies market psychology.