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Content analysis based on text mining using genetic algorithm

机译:基于文本挖掘的遗传算法内容分析

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This paper proposes a method employing text mining techniques to analyze e-mails collected at various source. The method inputs the subject and the body of an email and decides a text class for the e-mail. Also, the method extracts key concepts from e-mails and presents their statistical information. The results of numerical experiments indicate that acquired concept relation dictionaries correspond to the intuition of operators in the customer center and give highly precise ratios in the classification.
机译:本文提出了一种使用文本挖掘技术来分析从各种来源收集的电子邮件的方法。该方法输入电子邮件的主题和正文,并确定电子邮件的文本类别。同样,该方法从电子邮件中提取关键概念并提供其统计信息。数值实验结果表明,所获得的概念关系词典与客户中心操作人员的直觉相对应,并在分类中给出了很高的比例。

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