The news classification approach is the primary approach for the online news portals with the news data sourced from the various portals. The various types of data is received and accepted over the news classification portals. The lexicon analysis plays the key role in the categorization of the news automatically using the automatic news category recognition by analyzing the keyword data extracted from the input image data. The N-gram news analysis approach will be utilized for the purpose of the keyword extraction, which will further undergo the support vector classification. The support vector machine based classification engine analyzes the extracted keywords against the training keyword data and then returns the final decision upon the detected category. The proposed model is aimed at improving the overall performance of the existing models , which will be measured on the basis of precision, recall, etc.