# Real-Time Sentiment Analysis

* **Data Ingestion**\
  – Streams live social media posts, developer chats and major news headlines through NLP pipelines.\
  – Prioritizes sources with strong influence on crypto markets, from leading Twitter accounts to on-chain governance forums.
* **Sentiment Scoring**\
  – Assigns sentiment values (positive, neutral, negative) and intensity scores to each data point using transformer-based language models.\
  – Detects jargon and context (for example “sell the news”) to avoid false positives.
* **Event Detection**\
  – Watches for sudden spikes in volume of mentions or sentiment shifts around key topics such as regulation, security incidents or protocol upgrades.\
  – Correlates sentiment events with price and volume movements to refine predictive power.
* **Signal Filtering**\
  – Removes bot noise and pump-and-dump chatter through pattern recognition and source reputation analysis.\
  – Delivers only high-confidence alerts that meaningfully precede market pivots.
