Web page classification based on noise removal
AssigneeFortinet, Inc.
InventorsXiping Cao, Ye Ma
Life of this patent
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AssigneeFortinet, Inc.
InventorsXiping Cao, Ye Ma
Estimating the term…
Systems and methods for improving accuracy of web content classification by removing perceived noise are provided. The system receives a Uniform Resource Locator (URL) of a web page that needs to be classified, and parses the web page so as to construct a tree containing a list of tags. Unwanted tags are removed from the list of tags to yield a tree containing only desired tags that form part of the web page. Subsequently, a list of hyperlinks are based on processing of the tree having desired tags, wherein the list of hyperlinks can include unwanted/undesired/invalid hyperlinks and valid hyperlinks. Unwanted hyperlinks can accordingly be removed from the list of hyperlinks, and each valid hyperlink can be categorized based on a list of categories, and a final category for the web page is determined based on a vector analysis of each category assigned to each valid hyperlink.
A system for web page classification comprising:
A method comprising:
Dependencies are inferred from the claim text.