With the use of mining in the field of the text researchers get new era for working, which discover knowledge from the text documents. One of the application of text mining is to categorize the opponent from the contentious news article is focus in this paper. Here as per the different opponent present in the article are identify which is base on the dictionary and frequency of the opponent in the article then all the opponent are also classify into two main party where each opponenet relation is find with the other is based on the words they use in the sentence.


To evaluate this work articles from different debate category has been passed and got results that is very highly acceptable.