Sentiment Analysis
The use of natural language processing to identify and extract subjective information from text, categorizing content as positive, negative, or neutral.
Understanding Sentiment Analysis
Sentiment analysis provides quantitative measures of public opinion and emotional response to topics, brands, or events. Modern approaches go beyond simple polarity to detect nuanced emotions, sarcasm, and context-dependent meaning. When combined with narrative intelligence, sentiment analysis reveals not just how people feel, but why those feelings are forming and how they're likely to evolve. This enables more sophisticated risk assessment and opportunity identification.
Related Use Cases
Related Terms
See Sentiment Analysis in Action
Learn how Logically's narrative intelligence platform applies sentiment analysis to protect organizations from information threats.