Classifier Engine PATENT-47
The Classifier Engine is TubeRaker's core video analysis system. It takes any YouTube URL and produces a proprietary TubeRaker Decimal Score by evaluating three independent scoring axes: Density (information per minute), Veracity (factual reliability), and Vibe (engagement and production quality). Results are displayed as an interactive radar chart and can be shared or saved to history.
Step-by-Step Explanation
User Input
The user pastes a YouTube video URL into the Classifier Engine input field. The system accepts standard youtube.com and youtu.be link formats.
Extract Video ID
The URL is parsed to extract the 11-character YouTube video ID. The system validates the ID format before proceeding to ensure it is a legitimate YouTube video identifier.
Fetch YouTube Metadata
Using the YouTube Data API, the system retrieves the video's title, description, view count, like count, comment count, duration, channel information, and other statistics required for analysis.
AI Analysis Engine
The metadata, transcript, and available visual data are fed into TubeRaker's multi-model AI inference pipeline. This proprietary engine evaluates the content across three independent scoring axes in parallel.
Three Parallel Scoring Axes
Density Score measures information-per-minute, evaluating how much substantive content is delivered relative to video length. Veracity Score assesses factual reliability by cross-referencing claims against known data sources. Vibe Score evaluates engagement quality, production value, and presentation effectiveness.
Composite TubeRaker Decimal Score
The three axis scores are combined using a weighted formula to produce a single TubeRaker Decimal Score ranging from 0.000 to 10.000. This score represents the overall quality assessment of the video content.
Results Page with Radar Chart
The results are presented on an interactive page featuring a radar chart that visually displays the three scoring axes. Users can see at a glance where the video excels and where it falls short.
Share Badge & Save to History
Users can generate a shareable badge image with the video's TubeRaker score for social media. The analysis is also automatically saved to the user's classification history for future reference and comparison.