Sentiment analysis
Classifying the emotional tone of mentions and comments — positive, negative or neutral — usually at scale.
Sentiment analysis sorts what people say about a brand into positive, negative or neutral, typically using automated language models to process mentions and comments at volume. It turns a flood of unstructured chatter into a trend you can watch.
It adds the missing dimension to reach-based metrics like share of voice: a spike in mentions is only good news if the sentiment behind it is good. It also flags problems early, before a few angry comments become a crisis.
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