Publication Type
Conference Paper
Version
submittedVersion
Publication Date
12-2001
Abstract
Classification of online news, in the past, has often been done manually. In our proposed Categorizor system, we have experimented an automated approach to classify online news using the Support Vector Machine (SVM). SVM has been shown to deliver good classification results when ample training documents are given. In our research, we have applied SVM to personalized classification of online news.
Discipline
Databases and Information Systems | Digital Communications and Networking
Publication
4th International Conference on Asian Digital Libraries
City or Country
Bangalore, India
Citation
CHAN, Chee-Hong; SUN, Aixin; and LIM, Ee Peng.
Automated online news classification with personalization. (2001). 4th International Conference on Asian Digital Libraries.
Available at: https://ink.library.smu.edu.sg/sis_research/913
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.9913
Included in
Databases and Information Systems Commons, Digital Communications and Networking Commons