What Goes Wrong in Production Sentiment Annotation: The Failure Modes That Quality Metrics Don’t Catch
Sentiment annotation programs that fail don’t usually fail dramatically. They fail quietly, through patterns of systematic error that look acceptable in aggregate accuracy metrics but produce NLP models with specific, predictable blind spots. An aggregate accuracy of 87% on a…
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