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A NLU-based method for a first level automatic categorization of AI-based security documents

机译:基于NLU的基于AI的安全文档的第一级自动分类的方法

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Managing and organizing the information is a difficult subject. Especially in our time with the plethora of available sources accessible to the public, basically through the Internet, the volume of these pieces of information becomes larger and larger. The purpose of this dissertation is the creation of a model of documents' categorization. Our goal is to illustrate an as possible automated way of classification that takes into consideration the meaning of the documents. The way in which a human evaluates and classifies documents is followed in this proposed methodology. We also illustrate some empirical examples of the function of our classification method.
机译:管理和组织信息是一个困难的课题。尤其是在当今时代,基本上通过互联网,公众可以获取大量可用资源的时候,这些信息的数量越来越大。本文的目的是建立文档分类模型。我们的目标是说明一种考虑到文档含义的尽可能自动的分类方法。在此提议的方法中,遵循了人类对文档进行评估和分类的方式。我们还说明了分类方法功能的一些经验示例。

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