Step01
Pull YouTube Comments
Use the YouTube v3 API to fetch all the comments from your channel or a specific video.
IntermediateContent
How to Analyze YouTube Comments for Audience Insights with AI
Quickly analyze thousands of YouTube comments for sentiment and new content ideas using the Jev AI model. This workflow helps creators turn audience feedback into actionable insights for their content strategy.
Before you start
Step by step
The workflow
Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.
4 steps
Step02
Categorize Comment Sentiment
Feed each comment's text into Jev to classify its sentiment. This is a 'Choice' task where you provide the potential options for Jev to pick from.
Example prompt
Given the following text, categorize the sentiment. Choices: [positive, negative, neutral]
Step03
Identify New Ideas
Run another Jev classification on each comment to determine if it contains an idea for a future episode. This is a 'Choice' task with a simple yes/no answer.
Example prompt
Does this comment include an idea for a future episode? Choices: [yes, no]
Step04
Build a Dashboard
Feed the structured data (comment text, sentiment, idea flag) into a dashboarding tool. This allows you to visualize the sentiment breakdown and create a filterable 'request board' of audience ideas.
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