Title

Automated Online News Classification with Personalization

Publication Type

Conference Paper

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

Research Areas

Data Management and Analytics

Publication

4th International Conference on Asian Digital Libraries

City or Country

Bangalore, India

Additional URL

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.9913

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