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Bibliothek / Texterstellung & Content-Generierung

Texterstellung & Content-Generierung

YouTube-Kommentare mit OpenAI analysieren und Bericht per E-Mail senden

Bei manuellem Start oder Aufruf durch einen anderen Workflow sammelt es Videodetails, Transkript und Kommentare von YouTube, lässt sie von OpenAI analysieren und sendet einen Bericht per Gmail.

Was sie bewirkt

# YouTube Video Comment Analysis Agent This agent is designed to analyze YouTube video details and comments to generate a comprehensive and actionable report for content creators. The report provides insights into: - Video performance: Metrics such as views, likes, and comments. - Audience engagement: Identifying what resonates with viewers. - Viewer feedback: Highlighting trends, interests, and areas for improvement. ### Key Features: 1. Sentiment Analysis: Evaluates the tone of comments (positive, negative, neutral) to understand audience sentiment. 2. Recurring Themes: Identifies common topics or questions in comments. 3. Engagement Drivers: Highlights video elements that sparked high engagement. 4. Actionable Recommendations: Offers specific strategies for improving content and addressing viewer needs. 5. Keyword Suggestions: Extracts frequently mentioned terms for better discoverability. 6. Collaboration Opportunities: Suggests potential partnerships based on viewer feedback or related channels. 7. Audience Profiling: Infers audience characteristics such as expertise level and interests. ### Objective: The goal is to empower YouTube creators with data-driven insights to create engaging content that resonates with their audience while addressing viewer needs and preferences.

Die Schritte

  1. When Executed by Another Workflow
  2. Create YouTube API URL
  3. Get YouTube Video Details
  4. Merge YouTube Details & Transcript
  5. Create One JSON Object
  6. Workflow Variables
  7. Combine Comments
  8. Split Out Comments
  9. Get YouTube Video Comments
  10. When clicking ‘Test workflow’
  11. Create YouTube API URL for Comments
  12. Gmail Report
  13. gpt-4o-mini
  14. Markdown to HTML

Insgesamt 17 Schritte.

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