🔍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)

Review Collection

input

Import and clean raw customer reviews

Sentiment Classification

analysis

Analyze sentiment for each review with scoring

Theme Extraction

process

Group by themes and identify trends

Summary Report

generation

Generate 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