LunarCrush API for Social Sentiment Analysis

LunarCrush API for Social Sentiment Analysis

Understanding social sentiment can give developers and analysts an edge in decentralized markets. In LunarCrush API for Social Sentiment Analysis, Steven Paul provides a hands‑on guide to accessing, parsing, and visualizing social data from the LunarCrush API: 

• Authenticate and query LunarCrush endpoints for real‑time social metrics (engagement, sentiment scores).
• Integrate social data with price and on‑chain feeds for correlation studies.
• Build dashboards and alerts based on social spikes using Python and JavaScript.

Packed with code samples, API request templates, and visualization exercises, this workbook empowers blockchain developers, data scientists, and product managers to harness social intelligence in their applications.