Marco R.
21/08/2026
"Truly excellent materials, you can feel the quality at first touch."
Sentiment Analysis
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.
3
main sentiment states: positive, neutral, negative
5+
business aspects analyzed semantically
1-5
sentiment score separate from star rating
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
Explore the tone
Tap a sentiment bar, a radar aspect, or a key theme: the sample reviews filter in real time.
AI Dashboard — Sentiment analysis
Sentiment distribution
Click a bar to filter the reviews
Overall Sentiment Rating
4.6
1,245 reviews analyzedScore by aspect
Key themes
Attention Required
Sample reviews8 of 8 reviews
Marco R.
21/08/2026
"Truly excellent materials, you can feel the quality at first touch."
Giulia B.
19/08/2026
"Kind and fast support, they solved my issue in minutes."
Luca T.
15/08/2026
"Few sizes available, I had to settle for a different model."
Elena M.
12/08/2026
"Delivered in 24 hours with impeccable packaging, well done."
Andrea S.
08/08/2026
"Average price for the category, maybe slightly high."
Chiara D.
03/08/2026
"Very helpful assistance, return handled with zero stress."
Fabio L.
28/07/2026
"Box arrived dented, luckily the product was intact."
Marta G.
22/07/2026
"Good value for money, I would buy again without a doubt."
Interactive section: combine filters to watch the analysis adapt.
Overall tone
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.
Positive, neutral, and negative percentages are rendered with clear progress bars, helping merchants understand if a few critical reviews are skewing perception disproportionately.
The number of analyzed reviews travels with the score, keeping sentiment interpretation contextualized and credible over time.
Aspect deep dive
AspectsDeepDiveSection breaks the analysis down into dimensions such as quality, service, price, shipping, packaging, and any other semantic dimension extracted by AI.
Every aspect becomes a visible score, so merchants can see instantly whether the biggest issue is service, value, logistics, or another operational dimension.
For each aspect, AI produces concise observations that turn raw text into readable business insight without requiring manual review mining.
Most recurrent words are split by sentiment, making it easy to understand which terms strengthen reputation and which ones foreshadow friction.
Decision support
Critical themes are isolated in a dedicated block, helping teams spot recurring pain points before they start affecting conversion and retention more broadly.
The tone analysis feeds recommendations on where to intervene next, from support workflows to packaging, pricing communication, or shipping reliability.
Sentiment analysis becomes a shared language across marketing, support, and operations because it translates customer voice into visible priorities.
See also
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Merchants using certified reviews convert on average 15% more.