Machine-learning based detection and classification of personally identifiable information
Abstract:
Detection and classification of personally identifiable information includes identifying a document with a known author. A first set of features of the document is extracted using natural language processing, and a second set of features of the document is extracted based upon one or more past documents for the known author using a recurrent neural network. The first set of features and the second set of features are classified using a classifier to produce classified extracted features. Personally identifiable information is labeled in the document based upon the classified extracted features.
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