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Whereas we previously saw that the NLU sentiment scores were distributed throughout the -1 to +1 scale, in the last several months I’ve seen that there are virtually no neutral scores assigned. In the past it was very common for NLU to assign scores in this range.
Of the last 10,000 articles we've submitted to the API, the service has returned:
positive (>0.2) 5,274
negative (<-0.2) 4,692
neutral 34
I think it is unlikely that in 10,000 pieces of content, just 34 are truly neutral. The team should be aware that the performance of the model does not seem appropriate.
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Can you provide examples here? We've gotten feedback of the opposite observation from others.