🔍AnalyseBeginner4 steps
Customer Review Sentiment Analysis
This agent automatically analyzes your customer reviews and comments to extract overall sentiment (positive, negative, neutral), recurring themes, and priority attention points. Ideal for turning hundreds of reviews into actionable insights.
analysesentimentavis clientsNPSsatisfactione-commerce
For who
E-commerce managers, product managers, customer support and marketing teams looking to understand customer perception at scale.
Input
Type: text
Format: csv_or_text
Liste d'avis clients (texte brut, CSV ou JSON)
steps (4)
1
Review Collection
inputImport and clean raw customer reviews
2
Sentiment Classification
analysisAnalyze sentiment for each review with scoring
3
Theme Extraction
processGroup by themes and identify trends
4
Summary Report
generationGenerate final report with recommendations
Output
Type: text
Format: markdown
Rapport d'analyse de sentiment avec métriques et recommandations
Example
Input
Review 1: Great product, fast delivery! 5/5 Review 2: Disappointed by quality, doesn't match the photo. 2/5 Review 3: Okay for the price, nothing special. 3/5
Output
## Sentiment Report - Overall score: 3.3/5 (Mixed) - 33% positive, 33% negative, 33% neutral - Strengths: Delivery, value for money - Improvement areas: Product/photo accuracy
Customization
| Parameter | Description | Default |
|---|---|---|
Technical Notes
Works best with at least 20 reviews for statistically significant results. Natively supports French and English.