Publication Details
Two-Phase Categorization of Web Documents
Web page categorization, visual block classification, term weighting, TF-IDF, page segmentation
The number of pages on the World Wide Web is permanently growing and there is a need to process pages efficiently and obtain some useful knowledge from them. Web page categorization is a very important issue in this area. The method proposed here takes both visual and textual information into consideration. It consists of two phases. In the first phase, web page areas obtained by segmentation are classified based on their visual properties, and in the second phase, pages are classified, based on information from the first phase and textual information. Several experiments with web pages taken from news web sites are presented in the final part of the paper.
@INPROCEEDINGS{FITPUB9381, author = "Vladim\'{i}r Bart\'{i}k and Radek Burget", title = "Two-Phase Categorization of Web Documents", pages = "458--462", booktitle = "Proceedings of the International Conference on Knowledge Discovery and Information Retrieval", year = 2010, location = "Valencia, ES", publisher = "Institute for Systems and Technologies of Information, Control and Communication", ISBN = "978-989-8425-28-7", language = "english", url = "https://www.fit.vut.cz/research/publication/9381" }