Analyze YouTube Comments

Enter a video URL to get started with sentiment analysis, keyword extraction, and more.

Example: https://www.youtube.com/watch?v=qpMvS1Q1sos

How Quackerjack Works

Simple, fast, and transparent analytics.

1. Fetch

We securely connect to the YouTube API to download comments from your chosen video in real-time.

2. Analyze

Our Go backend uses Natural Language Processing (NLP) to detect sentiment, extract keywords, and count emojis.

3. Visualize

The results are presented in an easy-to-read dashboard with interactive charts and filtered lists.

Who Made This?

Quackerjack was created by Mike Flynn and is brought to you by C33 Technology.

It's an open-source project designed to make sentiment analysis accessible to everyone. Check out the code on GitHub to see how it's built or to contribute!

View on GitHub Visit C33 Tech

Crunching the Data

Analyzing sentiment, emojis, and keywords...

Videos with thousands of comments might take a minute. Grab a coffee!

Video Title

Channel Name

--
Total Comments
--%
Positive Sentiment
--%
Negative Sentiment
--
Comments / Day
-- views -- likes
Overall Sentiment
Based on all analyzed comments
Top Keywords
Most Liked Comments

No top comments available.

Random Comments

No sample comments available.

Daily Sentiment Trend (First 30 Days)