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Application of Text Mining based on Neural Network Computing

机译:文本挖掘在神经网络计算中的应用

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Today, numbers of documents that firms must process and with the extensive amounts of information available on the Internet, an automated intelligent method is needed to sort through all available documents or sites. It would be beneficial to start with grouping similar documents or sites together based on similarities. Classifying documents and sorting them into categories could be beneficial since in most cases, no one user would be interested in all the different categories of documents at the same time. Classifying a large number of documents would also make it easier to locate a specific document. In this paper, neural network computing based text mining (TM) and its application will be discussed.
机译:如今,公司必须处理的文件数量和互联网上可用的广泛信息,需要自动智能方法来排序所有可用的文档或站点。从基于相似之处分组类似的文档或站点,开始将其开始与相似之处一起进行分组是有益的。分类文件并将其排序到类别中可能是有益的,因为在大多数情况下,没有一个用户将同时对所有不同类别的文档感兴趣。分类大量文档也将更容易找到特定文档。在本文中,将讨论基于神经网络计算的文本挖掘(TM)及其应用。

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