AdaptKeyBERT: Stumbling Through Two Years of Keyword Extraction

Alright, gather ‘round, word enthusiasts and syntax sorcerers! 🧙‍♂️📚 Remember that time you tried to explain machine learning to your grandma and ended up comparing neural networks to her knitting patterns? Well, buckle up, because we’re about to dive into a similar realm of “What was I thinking?” – the saga of AdaptKeyBERT.

It’s been two trips around the sun since I cobbled together this quirky little keyword extractor and sent it off into the wild world of NLP. And by “sent it off,” I mean I uploaded it to GitHub, patted myself on the back, and promptly got distracted by the next shiny AI puzzle (it was differential privacy and most recently extracting linguistic patterns from startup pitch decks). Classic.

For those of you who, like me, need a refresher (because who remembers what they coded two years ago!), AdaptKeyBERT is this simple-to-use contraption that’s supposed to pull keywords out of text. Here’s what it allegedly does:

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