Article Classification and monitoring

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Type: 
Graduation Project
Year: 
2010
Students: 
Rana Dwaikat
Haneen Abu Jaish
Suha Oudeh
Abstract: 

Blog monitor is a website that aims to classify any article in an automatic way; this website makes classification process more easily than the way used today to classify the articles. Journalests need to read articles to  classify them.

The system aims to classify articles in any web site. The system uses training set to determine the categories to be classified. The system includes an algorithm that removes advertisements from inside the article before feeding it to the classifying algorithm. The classifying algorithm was tested using articles about Palestinian. We proved that we can classify articles according to author’s opinion. The error margin in opinion classification was about 5%.