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Classification and prediction method of customer complaints using text mining techniques

机译:基于文本挖掘技术的客户投诉分类预测方法

摘要

A classification and prediction method for customer complaints using a text mining technique is disclosed. The classification and prediction method for customer complaints using a text mining technique can more accurately predict the customer complaints by analyzing the customer complaints in VOC data with various opinions of a customer using a classification and prediction algorithm for the customer complaints and a TF-IDF technique that is one of the text mining techniques, using a previously defined algorithm as previous information and performing positive/negative classification of the previous information using a naive Bayesian classifier in order to extract complaint data from data crawled in internet, and comparing and analyzing an artificial neural network and an SVM method.
机译:公开了一种使用文本挖掘技术的顾客投诉的分类和预测方法。使用文本挖掘技术对客户投诉进行分类和预测的方法可以通过使用针对客户投诉的分类和预测算法以及TF-IDF技术分析VOC数据中具有客户各种意见的客户投诉来更准确地预测客户投诉这是一种文本挖掘技术,它使用先前定义的算法作为先前信息,并使用朴素的贝叶斯分类器对先前信息进行正/负分类,以便从Internet上爬网的数据中提取投诉数据,并进行比较和分析神经网络和支持向量机方法。

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