Every day more news articles are becoming available on the Internet. These can come from various sources, like traditional news paper agencies or blogs. Due to this increased amount the cost of classifying them manually have steadily increased during recent years. This research is about classifying articles automatically with the help of certain patterns in the article.

Kaymak, U.
hdl.handle.net/2105/7984
Economie & Informatica
Erasmus School of Economics

Temmink, A. (2010, September 7). Using the IPTC Taxonomy to Classify Articles Automatically for the MD Info Taxonomy. Economie & Informatica. Retrieved from http://hdl.handle.net/2105/7984