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Document classification using latent semantic analysis

机译:使用潜在语义分析的文档分类

摘要

Electronically-stored information within a network file system is processed by (a) scanning the information across the network, and identifying each separate file which is suitable for processing; (b) analysing each separate file using latent semantic indexing, comparing the information within a file to information within one or more previously-categorised files, to determine a class to which the file relates; and (c) labelling each separate file with a security grading appropriate to its class, by inserting the security grading into the file, such as a visible watermark, or meta-data associated with the file. Hence information within a network file system is automatically classified, and provided with a security grading.
机译:通过以下方式处理网络文件系统中的电子存储信息:(a)跨网络扫描信息,并标识每个适合处理的单独文件; (b)使用潜在语义索引分析每个单独的文件,将文件中的信息与一个或多个先前分类的文件中的信息进行比较,以确定文件所涉及的类别; (c)通过将安全等级(例如可见水印或与该文件关联的元数据)插入文件中,以适合其类别的安全等级标记每个单独的文件。因此,网络文件系统内的信息会自动分类,并提供安全等级。

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