6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007) Using Links to Aid Web Classification Melbourne, Australia July 11-July 13 ISBN: 0-7695-2841-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.191
In this paper, we will present a new approach of using link information to improve the accuracy and efficiency of Web Classification. However, different from others, we only use the mappings between linked documents and their own class or classes. In this case, we only need to add a few features called linked-class features into the datasets. We apply SVM and BoosTexter for classification. We show that the classification accuracy can be improved based on mixtures of ordinary word features and out-linked-class features. We analyze and discuss the reason of this improvement.
Citation:
Wei Xie, Musa Mammadov, John Yearwood, "Using Links to Aid Web Classification," icis, pp.981-986, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||