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YouTube Sentiment Insights

5.0(

1 rating

)
ExtensionWorkflow & Planning10 users
Item media 1 (screenshot) for YouTube Sentiment Insights

Overview

Analyze YouTube video comments for sentiment and insights directly from the video page.

YouTube Sentiment Insights helps you instantly analyze the tone, mood, and engagement quality of YouTube video comments directly from the video page. This extension uses a machine-learning powered sentiment analysis engine trained on thousands of labeled comments. It classifies each comment as Positive, Neutral, or Negative, and provides a full analytics dashboard including: ⭐ Key Features AI-powered sentiment analysis on up to 1,000 YouTube comments Interactive sentiment breakdown (positive, neutral, negative) Word Cloud visualization showing the most dominant terms Monthly sentiment trend graphs based on comment timestamps Top comments list with sentiment labels Commenter analytics: Total comments Unique commenters Average comment length Average sentiment score (normalized 0 -10) 🔍 How It Works Uses the YouTube Data API to fetch comments Sends content to a secure backend powered by a LightGBM ML model and TF-IDF vectorizer All processing happens server-side with a custom Flask API No personal user data is stored 🎯 Ideal For YouTube Creators Social media analysts Researchers Anyone curious about audience sentiment Gain deeper insight into community reactions without leaving the YouTube page!

Details

  • Version
    1.0.3
  • Updated
    November 24, 2025
  • Offered by
    Baci Akom
  • Size
    4.83MiB
  • Languages
    English (United States)
  • Developer
    Email
    bassey.akom@datsx.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

For help with questions, suggestions, or problems, please open this page on your desktop browser

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