What is PJQ

PJQ is an analytics platform designed for the deep evaluation of audience quality and their reaction to video content. The service is built for creators, producers, journalists, and media researchers who need to find the useful signal in the noise of thousands of comments.

Quantitative metrics — views, likes, comment counts — measure how loud a video is. A positive/negative tone reading adds the general mood, but still leaves the main question open: does the audience actually agree with what the author said?

PJQ answers exactly that question. The platform analyzes the stance of each commenter regarding the video's core thesis, filtering out spam, self-promotion, and meaningless noise.

How it works

1. You submit a video URL to the Seismograph section.

2. PJQ's neural network classifier processes a sample of comments, taking into account the video's context (title, domain).

3. You receive a detailed Verdict: the audience distribution across 7 categories and 3 global indexes (mood, controversy, parasitic load).

Privacy by Default

A key differentiator for PJQ is its strict approach to privacy. The platform does not build user dossiers or store raw comment databases.

Only aggregated mathematical verdicts (percentages and indexes) and 2-3 anonymized example quotes for each category remain in the PJQ database. Once the verdict is generated, the raw source data is discarded.