Document Classification Using Multiscale Text Fingerprints
AssigneeBitdefender IPR Management Ltd.
InventorsAdrian Toma, Marius Tibeica
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AssigneeBitdefender IPR Management Ltd.
InventorsAdrian Toma, Marius Tibeica
Estimating the term…
Described systems and methods allow a classification of electronic documents such as email messages and HTML documents, according to a document-specific text fingerprint. The text fingerprint is calculated for a text block of each target document, and comprises a sequence of characters determined according to a plurality of text tokens of the respective text block. In some embodiments, the length of the text fingerprint is forced within a pre-determined range of lengths (e.g. between 129 and 256 characters) irrespective of the length of the text block, by zooming in for short text blocks, and zooming out for long ones. Classification may include, for instance, determining whether an electronic document represents unsolicited communication (spam) or online fraud such as phishing.
A client computer system comprising at least one processor configured to determine a text fingerprint of a target electronic document so that a length of the text fingerprint is constrained between a lower bound and an upper bound, wherein the lower and upper bounds are predetermined, and wherein determining the text fingerprint comprises:
A server computer system comprising at least one processor configured to perform transactions with a plurality of client systems, wherein a transaction comprises:
A method comprising employing at least one processor of a client computer system to determine a text fingerprint of a target electronic document so that a length of the text fingerprint is constrained between a lower bound and an upper bound, wherein the lower and upper bounds are predetermined, and wherein determining the text fingerprint comprises:
A method comprising employing at least one processor of a server computer system configured to perform transactions with a plurality of client systems, to:
Dependencies are inferred from the claim text.