Commit to a Mini Classifier Experiment
Commit to a concrete, testable NLP baseline experiment with metric and follow-up.
Run a 3-day NLP text-classifier baseline experiment. Pick a real classification use case such as ticket routing, complaint triage, intent detection, sentiment labeling, or document type tagging. By [date], I will use [N] labeled texts for [task], split by [unit], compare DummyClassifier to TF-IDF, and report [metric] plus the worst label/confusion pair. A support-ticket routing dataset with at least 200 labeled messages and known queue labels. A complaint triage spreadsheet where one rare label has high business cost. A document-type classifier idea with repeated documents that require group-based splitting. Use this scaffold: data sample, split unit, dummy baseline, TF-IDF baseline,…
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