Sentiment Analysis

Go beyond stars,
understand how customers really feel

eShoppingAdvisor AI analytics reads tone, intensity, and recurring topics in every review. That lets merchants distinguish a decent average rating from truly strong customer perception.

main sentiment states: positive, neutral, negative

business aspects analyzed semantically

1-5

sentiment score separate from star rating

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Sentiment engine

Distribution, radar, and keywords to read the tone of feedback

Overall sentiment rating separate from the vote

Positive / neutral / negative distribution breakdown

Positive and negative keywords for each business aspect

Overall tone

A score that reads perception, not just rating

Dedicated sentiment rating

Inside the AI dashboard, sentiment is expressed as a separate 0–5 score, useful for capturing the emotional quality of customer feedback beyond classic star averages.

Full sentiment distribution

Positive, neutral, and negative percentages are rendered with clear progress bars, helping merchants understand if a few critical reviews are skewing perception disproportionately.

Transparent data basis

The number of analyzed reviews travels with the score, keeping sentiment interpretation contextualized and credible over time.

Aspect deep dive

Where sentiment comes from, aspect by aspect

AspectsDeepDiveSection breaks the analysis down into dimensions such as quality, service, price, shipping, packaging, and any other semantic dimension extracted by AI.

Radar chart by business dimension

Every aspect becomes a visible score, so merchants can see instantly whether the biggest issue is service, value, logistics, or another operational dimension.

Automatic key observations

For each aspect, AI produces concise observations that turn raw text into readable business insight without requiring manual review mining.

Positive and negative keywords

Most recurrent words are split by sentiment, making it easy to understand which terms strengthen reputation and which ones foreshadow friction.

Decision support

Sentiment matters when it drives clear decisions

Priority attention themes

Critical themes are isolated in a dedicated block, helping teams spot recurring pain points before they start affecting conversion and retention more broadly.

AI-recommended next actions

The tone analysis feeds recommendations on where to intervene next, from support workflows to packaging, pricing communication, or shipping reliability.