Build a YouTube comment dataset for training or evaluating a text classifier, without leaking test data
This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.
YouTube comments are a good source of short, informal, real-world text for spam, toxicity, intent or sentiment classifiers. They are also an easy way to build a dataset that looks great in evaluation and fails in production: one viral video dominates it, the same copy-pasted comment ends up in trai…
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- 2026-10-26 13:12 · DEV Community — Machine Learning
Build a YouTube comment dataset for training or evaluating a text classifier, without leaking test data