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Analyze customer review sentiment for e-commerce products. Extract insights from positive/negative reviews, identify improvement opportunities, and track sentiment trends over time.
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电商运营套装 - 竞品监控、库存预警、价格追踪、评论分析。24小时自动化运营，省时省力。
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SOC 職業分類に基づく
| name | ecommerce_review_sentiment_analyzer |
| description | Analyze customer review sentiment for e-commerce products. Extract insights from positive/negative reviews, identify improvement opportunities, and track sentiment trends over time. |
| version | 1.0.0 |
Automatically analyze customer reviews to extract actionable insights for product improvement and customer satisfaction.
Use this skill when the user wants to:
Ask the user for:
For each review, capture:
Positive Signals (4-5 stars):
Negative Signals (1-2 stars):
Neutral Feedback (3 stars):
Group reviews by theme:
## Review Sentiment Analysis Report
### Overview
| Metric | Value |
|--------|-------|
| Total Reviews Analyzed | N |
| Average Rating | X.X/5 |
| Positive (4-5★) | XX% |
| Neutral (3★) | XX% |
| Negative (1-2★) | XX% |
### Top 5 Positive Themes
1. [Theme]: [Count] mentions - "Representative quote"
2. ...
### Top 5 Negative Themes
1. [Theme]: [Count] mentions - "Representative quote"
2. ...
### Sentiment by Category
| Category | Positive | Neutral | Negative |
|----------|----------|---------|----------|
| Quality | 75% | 15% | 10% |
| Value | 60% | 25% | 15% |
| ...
### Key Insights
1. **Strength**: [What customers love most]
2. **Opportunity**: [Biggest improvement area]
3. **Risk**: [Critical issue to address immediately]
### Recommendations
1. [Specific action with expected impact]
2. [Product improvement suggestion]
3. [Customer communication strategy]
### Review Response Templates
**For Positive Reviews:**
> Thank you for your wonderful review! We're thrilled you enjoyed [specific feature]. Your support means the world to us.
**For Negative Reviews:**
> We're sorry to hear about your experience with [issue]. We'd love to make this right. Please contact us at [support email].