Block Rearrangements and TSVs for a Standard Cell 3D IC Placement

Web content classification utilizes for converting the organization document into predefined classes with the help of machine learning algorithms. This is mostly applied in the industries which utilize the unstructured text format information largely. Web content classification is often used to filter email, classify Web content and manage Web browser results. The word collections represent the documents in the traditional Web content classification. The terms are obtained from their finer context which presents in a document or sentence. Detailed semantic classification of the Web content is discussed here. This study examines past and past achievements in the semantic Web content classification. This approach is based on SVM, a fuzzy ontology. In addition, this study shows the advantages of semantic Web content classification algorithms compared to tradition.