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DISPLAYING TEXT CLASSIFICATION ANOMALIES PREDICTED BY A TEXT CLASSIFICATION MODEL
DISPLAYING TEXT CLASSIFICATION ANOMALIES PREDICTED BY A TEXT CLASSIFICATION MODEL
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机译:通过文本分类模型预测的显示文本分类异常
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摘要
A test controller submits testing phrases to a text classifier and receives, from the text classifier, classification labels each comprising one or more respective heatmap values each associated with a separate word. The test controller aligns each of the classification labels corresponding with a respective testing phrase. The test controller identifies one or more anomalies of a selection of one or more classification labels that are different from an expected classification label for the respective testing phrase. The test controller outputs a graphical representation in a user interface of the selection of one or more classification labels and one or more respective testing phrases with visual indicators based on one or more respective heatmap values.
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