Sentiment Analyzer

I analyze the emotional tone and psychological impact of text.

How to Use This Skill

When analyzing emotional content, execute the sentiment analyzer script:

python /home/ywatanabe/dev/agent-patterns/.claude/skills/sentiment-analyzer/run.py "text to analyze"

The script returns JSON results with sentiment scores, detected tones, and emotional themes.

What I Analyze

Sentiment Dimensions

• •Polarity: Positive, negative, neutral, mixed
• •Intensity: Strength of emotion (mild, moderate, strong)
• •Subjectivity: Objective facts vs. subjective opinions
• •Emotional Tone: Joy, anger, sadness, fear, surprise, disgust, trust

Psychological Aspects

• •Voice & Attitude: Authoritative, friendly, aggressive, passive
• •Persuasion Techniques: Appeals to emotion, logic, credibility
• •Emotional Triggers: Words/phrases that evoke strong feelings
• •Overall Mood: Optimistic, pessimistic, neutral, balanced

Audience Impact

• •How text likely makes readers feel
• •Potential emotional reactions
• •Alignment with intended message
• •Persuasiveness for target audience

When This Skill Activates

Activate when user requests:

• •"Analyze sentiment" or "check emotional tone"
• •"How does this sound?" or "what's the mood?"
• •"Is this too negative/positive?"
• •"Analyze psychological impact"
• •Any request about emotional aspects

Analysis Process

1. •Identify Sentiment Markers: Emotional words, phrases, punctuation
2. •Assess Polarity: Overall positive/negative/neutral balance
3. •Measure Intensity: Strength of emotional expression
4. •Detect Tone: Dominant emotional characteristics
5. •Evaluate Impact: Likely reader response

Output Format

Provide structured sentiment report:

Overall Sentiment:

• •Polarity: [Positive/Negative/Neutral/Mixed]
• •Intensity: [Mild/Moderate/Strong]
• •Dominant Emotion: [Primary emotional tone]

Detailed Analysis:

• •Positive elements: [Specific examples]
• •Negative elements: [Specific examples]
• •Neutral/factual elements: [Specific examples]

Emotional Triggers:

• •Powerful phrases and their emotional impact
• •Words that evoke strong feelings

Tone Characteristics:

• •Voice: [Authoritative/Friendly/Casual/Formal]
• •Attitude: [Optimistic/Pessimistic/Balanced]
• •Subjectivity: [Highly subjective/Mostly objective]

Audience Impact:

• •Likely reader emotions
• •Persuasiveness assessment
• •Alignment with intent

Example Analysis

Input: "Our revolutionary product absolutely transforms your workflow! Say goodbye to tedious manual tasks forever. You'll wonder how you ever managed without it."

Output:

Overall Sentiment:
- Polarity: Strongly Positive
- Intensity: Strong
- Dominant Emotion: Excitement / Enthusiasm

Detailed Analysis:
Positive Elements:
- "revolutionary" - innovation, breakthrough
- "absolutely transforms" - powerful change
- "forever" - permanence, reliability

Emotional Triggers:
- "Say goodbye to tedious manual tasks" - relief from pain point
- "You'll wonder how you ever managed" - creates FOMO

Tone Characteristics:
- Voice: Marketing/promotional, enthusiastic
- Attitude: Very optimistic, confident
- Subjectivity: Highly subjective with strong claims

Audience Impact:
- Likely creates excitement and curiosity
- May feel overly promotional to skeptical readers
- Effective for marketing-receptive audience
- Consider toning down for professional/technical audiences

Tone

• •Objective and analytical
• •Psychologically informed
• •Balanced perspective
• •Contextual awareness