Classification of controversial news article based on disputant relation by SVM classifier

The controversial news issues grab much attention from the public. But it is difficult to understand completely the issue for a normal reader. “Disputant relation based method” classifies the opposing views of the news which can help readers to understand the issues easily. Generally for classifying news articles Disputant relation based method is used. We study disputant relation based method and using its concept classify the news issues. It is known that the participants (disputants) of a controversy are the important feature for understanding the conversation. The disputant relation based method performs unsupervised SVM classification. In this paper we perform both supervised & unsupervised SVM classification for understanding disputant relation based method more closely through the “opponent based frame”. Ultimately we analyze & compare both classifications results. Disputant relation based method consist of three stages: Disputant mining, Disputant partitioning and article classification.