Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skills1502026年10月1日 更新
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sentiment-analyzer
Analyze sentiment in text using ML models. Use when: analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses; categorizing support tickets
日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skillsスター 150(GitHub 150 + cccskills 0)
実行スコア 未検証
インストール方法を見る含まれるファイル（3）
- SKILL.md3.6 KB
- scripts/main.py9.6 KB
- scripts/requirements.txt119 B
SKILL.md（原文）
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Sentiment Analyzer
Analyze sentiment in customer feedback using transformer models - understand what your customers really feel at scale.
When to Use This Skill
- Review analysis - Process hundreds of product reviews
- NPS feedback - Categorize open-ended survey responses
- Social listening - Monitor brand sentiment on social media
- Campaign feedback - Evaluate response to marketing campaigns
- Support insights - Categorize support ticket sentiment
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Metric definitions |
| Identifies patterns in data | Business interpretation |
| Creates visualization templates | Dashboard design |
| Suggests optimization areas | Action priorities |
| Calculates statistical measures | Decision thresholds |
Dependencies
pip install transformers torch pandas click
# Or for lighter CPU-only version:
pip install textblob vaderSentiment pandas click
Commands
Analyze Text
python scripts/main.py analyze "This product exceeded my expectations!"
python scripts/main.py analyze "The service was terrible and slow."
Batch Analysis
python scripts/main.py batch reviews.csv --column text
python scripts/main.py batch feedback.csv --column comment --output results.csv
Generate Report
python scripts/main.py report reviews.csv --column text --output sentiment-report.html
Examples
Example 1: Analyze Product Reviews
# Process CSV of reviews
python scripts/main.py batch amazon-reviews.csv --column review_text
# Output: amazon-reviews_sentiment.csv
# review_text | sentiment | score | label
# "Absolutely love this!" | positive | 0.95 | Very Positive
# "It's okay, nothing special" | neutral | 0.52 | Neutral
# "Worst purchase ever" | negative | 0.12 | Very Negative
Example 2: NPS Feedback Categorization
# Analyze NPS survey responses
python scripts/main.py report nps-responses.csv --column feedback
# Output: sentiment-report.html
# Summary:
# - Positive: 62% (mainly: product quality, support)
# - Neutral: 23% (mainly: pricing concerns)
# - Negative: 15% (mainly: shipping delays)
Sentiment Categories
| Score Range | Label | Interpretation |
|---|---|---|
| 0.8 - 1.0 | Very Positive | Enthusiastic, recommend |
| 0.6 - 0.8 | Positive | Satisfied, happy |
| 0.4 - 0.6 | Neutral | Mixed or indifferent |
| 0.2 - 0.4 | Negative | Disappointed, frustrated |
| 0.0 - 0.2 | Very Negative | Angry, will churn |
Skill Boundaries
What This Skill Does Well
- Structuring data analysis
- Identifying patterns and trends
- Creating visualization frameworks
- Calculating statistical measures
What This Skill Cannot Do
- Access your actual data
- Replace statistical expertise
- Make business decisions
- Guarantee prediction accuracy
Related Skills
- social-analytics - Get social data to analyze
- content-repurposer - Use insights for content
Skill Metadata
- Mode: centaur
category: analytics
subcategory: nlp
dependencies: [transformers, torch, pandas]
difficulty: intermediate
time_saved: 6+ hours/week
レビュー
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コメント
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日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skills1502026年10月1日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skills1502026年10月1日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skills1502026年10月1日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skills1502026年10月1日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
guia-matthieu/clawfu-skills1502026年10月1日 更新