Automated Online News Classification with Personalization
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.
Databases and Information Systems | Digital Communications and Networking
Data Management and Analytics
4th International Conference on Asian Digital Libraries
City or Country
CHAN, Chee-Hong; SUN, Aixin; and LIM, Ee Peng.
Automated Online News Classification with Personalization. (2001). 4th International Conference on Asian Digital Libraries. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/913