What happens between a token and a prediction? Making sentiment models inspectable
This story is from 2026-08-28. It is preserved in the archive; the latest stories are on the live feed.
"Great food but the service was dreadful!" This is a verbatim sentence from the SemEval-2014 Restaurants test split. It contains two aspects with opposite sentiments: food is positive, while service is negative. ReviewPulse v2 had one job: assign one sentiment label to an entire review. For this se…
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- 2026-08-28 19:05 · DEV Community — Machine Learning
What happens between a token and a prediction? Making sentiment models inspectable