What My Spam Classifier Couldn't See: A Beginner's Guide to Word Embeddings
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In my first NLP project, I built an SMS spam classifier. I cleaned the text, turned each message into numbers with TF-IDF, compared three models, and the best one, a Linear SVM, caught 93% of spam on messages it had never seen. Then I noticed a blind spot. To my model, the words "free" and "complim…
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- 2026-09-30 14:50 · DEV Community — Machine Learning
What My Spam Classifier Couldn't See: A Beginner's Guide to Word Embeddings