Named Entity Recognition (NER) vs Sentiment Analysis

Named Entity Recognition (NER) is a natural language processing technique that identifies and classifies specific entities (cryptocurrencies, exchanges, companies) in cryptocurrency news and social media, enabling sentiment analysis and event tracking.

Sentiment analysis is the systematic measurement of the overall emotional tone — positive, negative, or neutral — expressed across news, social media, and market data to gauge collective investor mood.