Comment Cat Engine
Welcome to the Comment Cat Engine documentation.
Table of Contents
Bulk Comment Analysis
The Comment Cat Engine (CCE) is a set of tools and software to gain insight into bulk comment data. Visit YourComments.ai to request access.
Purpose of this document
Provide a manual and documentation on how to use the Comment Cat engine.
About the Application
All data, outputs, and results are stored as static files accessible to end users.
Data is a snapshot of the comment stream for a given asset and timeframe.
Your Dashboard
Dashboards are secured using randomized strings, which is most similar to Google Docs' "anyone with the link" sharing style.
We can reset the link on request, but we are using double 128-bit strings, and access to your dashboard results from sloppiness in handling the URL, not from reverse engineering.
System Helpers
You may see "helpers" on the dashboard. These unavoidable artifacts enable us to build dynamic, interactive reports. They can't be hidden, and there is nothing an end user can do with these fields.

Sentiment Scoring
Sentiment scores in CCE range from -5.0 to 5.0 in 0.1 increments.
-5.0is the most negative5.0is the most positive0.0is neutral
Sentiment Grouping
The CCE platform often groups sentiment into more useful groups. The most common grouping is a 5-bin system of:
-5 to -3Negative-3 to -1Somewhat negative-1 to 1Neutral1 to 3Somewhat positive5 to 3Positive
Application Output
We deliver JSON, .csv, or any file that makes our customers happy. No claim to the data exists; our users own all the data produced.
Subscription Plan
The application watches a single stream of comment data, such as a YouTube channel, and provides date-over-time analysis.
Subscription
Serialized to a social channel
Jobs run automatically
Access to a channel-level prompt: Yes
Access to a channel job (asset) prompt: Yes
Delivery: many sets of data
Analysis: Aggregate, one deliverable per video
"One-off" Plan
Gain a "right now" snapshot of the comment data. One dataset.
Pay as you go.
Not serialized to a social channel
Manually trigger jobs spending "comment analysis tokens" aka
CAT.Access to a channel-level prompt: No
Access to a channel job (asset) prompt: Yes
Delivery: One set of files
Analysis: One video/result set
Metabase.com
We are currently using Metabase.com to provide analysis on the static data. Customers opt-in to further process their data.
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