1 / 8

Multi-class SVM with Negative Data Selection for Web Page Classification

Multi-class SVM with Negative Data Selection for Web Page Classification. Chih-Ming Chen, Hahn-Ming Lee and Ming-Tyan Kao International Joint Conference on Neural Networks 2004. Motivation. Several new websites are launched everyday Need to search fast and efficiently

vera-hanson
Télécharger la présentation

Multi-class SVM with Negative Data Selection for Web Page Classification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Multi-class SVM with Negative Data Selection for Web Page Classification Chih-Ming Chen, Hahn-Ming Lee and Ming-Tyan Kao International Joint Conference on Neural Networks 2004

  2. Motivation • Several new websites are launched everyday • Need to search fast and efficiently • Search engines organize websites under topic hierarchy (taxonomy) • Need a classifier: one-against-all SVM • Catch: huge negative data increased training time

  3. Negative Data Selection Support vectors in the negative data are much similar to the positive data than the other negative data

  4. Negative Data Selection • Feature Selection: top n keywords from the positive data • All websites are represented as vectors of these top n keywords. • Cosine Similarity:

  5. Negative Data Selection • Plot similarity scores of negative to positive documents in descending order with negative documents Convergence Point Similarity Scores in Descending order Negative Documents

  6. Experiments • Reuters dataset (10802 training, 565 test)

  7. Experiments

  8. Experiments

More Related