Sentiment analysis
Measurement and monitoringSentiment analysis is a set of methods used to classify text as positive, neutral, or negative and to track how sentiment changes over time. Automated sentiment is useful for scale but can misread sarcasm, mixed feedback, or technical contexts. For reputation, sentiment analysis works best when combined with topic clustering and manual review for high-risk items so actions are based on accurate interpretation.
It helps you quantify reputation changes and prioritize response efforts.
You auto-tag sentiment, then manually review the top 5% most negative items each week for root causes and fixes.
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