WEBSITE CATEGORIZATION THROUGH SEMANTIC EMBEDDINGS OF TEXT CONTEXT

原文（中国語）

An unknown web page is received for categorization, for example, from a web filtering service in a web browser or a firewall. Semantic embeddings are generated by enriching the unknown web page with semantic meaning in order to determine an unknown web page vector. Proximity of the unknown web page semantic embeddings to the known web categories is calculated by comparing the average vector against the unknown web page vector. A category label for a web site category for the new web page is output based on the calculated proximity. Once known, web filtering and other network policies can be applied to the web page.