When I trained the previous AI comment classifier, I used partially personal private data to do it, and built it on a somewhat shaky foundation, so I couldn’t share the code or data. I rebuilt it on public data and a better foundation!
First off, you might want to try it out. Nothing you paste into that web page leaves your browser, so you can safely try it with whatever you like. I have invited some testers to try out an earlier version of it, and they had mainly positive feedback to give.
We won’t break down robot-isms the way we broke down Claude-isms in the previous article, because in the UI of the new classifier you can just click any part of the text being classified to see which features activate on that portion of the text, and how they contribute to the overall judgment. Here’s an example of the expanded feature activation view.