Identify Potential Breaking News using Web Mining

News is “the communication of selected information on current events�, where the selection is guided by “newsworthiness� or “what interests the public�. News are also stories, from which the reader usually expects answers to the five Ws: who, what, when, where and why, to which a “how� is often added. News-style writing – as opposed to, for example, commentary writing – generally strives for objectivity and/or neutrality (the representation of different views on the event). Peoples are always in search of the news article which to much interesting and will provide the lots of information in such cases there are lots of web portals are available which are providing an information. It is very cumbersome task to search the interested news article over web, it is also a time consuming process. User need to go through various news portal first and then find out the interested news. Automatic point extraction may be a tough drawback, and in this paper we also provide strategies solving that task. We study the standard of the point extraction, and also provide results from clustering the extracted news items