Sentiment Analysis

Extracts the true audience mood and key feedback by analyzing comment sentiment and keyword frequency.

thedixitjain 1bbd927 1.1 KB Updated 2 repo stars

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Skill: Sentiment Analysis Workflow

Objective: Understand the true audience reaction to a video, product, or creator by analyzing comment sentiment.

Execution Steps:

  1. Fetch Comments: Use get_video_comments to pull the top 20-50 comments for the target video.
  2. Analyze:
    • Use your own semantic understanding combined with analyze_sentiment_heuristic to gauge the overall mood (Positive/Neutral/Negative).
    • Extract the most frequently mentioned keywords, complaints, or praises.
  3. Synthesize: Do not just list the comments. Write a cohesive executive summary of what the audience actually cares about.

Next Actions: Ask the user if they would like to visualize this sentiment data or publish it as a report.


Source: google/adk-samplespython/agents/youtube-analyst/youtube_analyst/skills/sentiment-analysis/SKILL.md

thedixitjain/the-mega-skill-library/tree/main/library/ai-agents-and-harness/sentiment-analysis commit 1bbd927402

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