Effect of String Frequency Changing on the Accuracy of WCNB Classifier
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Abstract
In order to solve the problems of classification accuracy that produced in text variety testing with MNB classifier, a WCNB classifier was presented to replace MNB classifier. The classification precision changes of the WCNB classifier were studied for different test samples. Due to the weight counting mistakes arisen from target strings changing in the WCNB classification, a target strings frequency conversion technology was adopted to develop a WCNB classifier mathematic model with error compensation function. The simulation result verifies the feasibility of the WCNB mathematic model.
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