Natural Language Processing

Quick Links: Dataset on HuggingFace The Topic Modeling Challenge You know that feeling when you have 50 browser tabs open, and you’re desperately trying to organize them into bookmark folders? “ML Papers To Read,” “Funny Cat Videos,” “Recipes I’ll Never Make”… We all have our system. And apparently, it’s such a universal problem that every tech company is launching their own solution - Arc Browser with its “Spaces,” Chrome with its tab groups, and about 500 extensions promising to color-code your digital hoarding habits into submission....

Quick Links: Model on HuggingFace | Interactive Demo When it comes to topic extraction, the AI world seems fixated on massive models and expensive compute. But what if there was a simpler way? 🤔 The Genesis: Simplicity Through Linear Transformation Picture this: There I was, looking for an open-source solution to extract topics from text at scale. The available options were either massive language models or complex fine-tuning pipelines. That’s when it hit me – what if we could leverage the semantic structure of existing embeddings with just a linear transformation?...

Quick links (in case you want to skip my ramblings): PyPI Package GitHub Repository 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....