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SYSTEMS AND METHODS FOR IMPROVING ACCURACY OF CLASSIFICATION-BASED TEXT DATA PROCESSING
SYSTEMS AND METHODS FOR IMPROVING ACCURACY OF CLASSIFICATION-BASED TEXT DATA PROCESSING
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机译:用于提高基于分类的文本数据处理准确性的系统和方法
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摘要
An application server for improving the data diversity of a corpus of training data for training a classifier is provided. The application server comprises one or more hardware processors configured to execute a set of instructions to: obtain a first set of text data; determining a set of phrases from the first set of text data; training the classifier using the set of phrases; classify the set of phrases using the trained classifier; and determine a level of accuracy of a classification by the trained classifier with the set of parameters. The application server may retrain the classifier on a second set of text data, or update a set of rules associated with the classifier, in response to determining that the level of accuracy is below a predetermined threshold.
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