In this paper, an improved fault feature extraction method based on text data is proposed. Text mining is one of the hotspots in data mining. CHI is one of the common methods of feature selection. The method did not adjust the weight of corresponding terms. This paper proposed an improved CHI method and use SVM (Support Vector Machine) to verify the quality between CHI and improved CHI. The result shows that the improved CHI method has better feature extraction effect.
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