It can be applied to comments, reviews, mentions, messages, and campaign conversations.
Sentiment helps teams understand the tone behind volume metrics and spot reputation changes earlier.
Sentiment analysis is most useful when combined with human review because sarcasm, slang, context, and platform culture can confuse automated scoring.