What is sentiment analysis and how does it apply to reputation?

Sentiment analysis is the classification of content by tone, positive, neutral, or negative, and in reputation work it is the mechanism that turns a sea of text into a measurable signal.

Where it is applied

• Ranking URLs, the pages ranking for branded queries, so the page-one picture can be scored.
• AI-engine responses, what the AI engines say about the entity, so the narrative can be tracked by tone.
• Stakeholder communications, key communications, where relevant.

What the measure is for

The value is in the aggregate and the trend, not any single classification. It shows how the overall tone of the result set or the AI narrative is moving over time, and whether an intervention shifted it.

The honest caveat

Automated sentiment classification is imperfect on nuance, sarcasm, and context, so it is treated as a directional measure read alongside human judgment rather than as ground truth. Used that way, it is a useful instrument for seeing whether reputation work is changing perception.

We apply sentiment analysis within IMPACT™ for search and AIQ™ for the AI engines, tracking trend and intervention impact.