We aim to identify major topics among news and their time dependent shifts in the news. Text information of news movies is analyzed to develop co-occurrence graph of news and to identify topics. Co-occurrence tags are employed to describe the time dependent shifts of topics in the news. As a result, we may successfully describe the time dependent shifts of topics among news.
