Research on New Event Detection Methods for Mongolian News

Abstract

New event detection (NED) aims at detecting the first news from one or multiple streams of news stories. This paper is aimed at the field of journalism and studies the related methods of Mongolian new event detection. The paper proposes a method that combines the similarity of news content with the similarity of news elements to detect the new event. For the news content representation, according to the characteristics of the news and the different vocabulary expressions in different news categories, improve the traditional TF-IDF method. In addition, extract the main elements of the news, including time, place, subject, object, denoter, and calculate the similarity of news elements between the two news documents. Finally, the similarity between the news content and the news elements is combined to calculate the final similarity for new event detection. The experimental results show that the improved method is obvious, and the performance is significantly improved compared with the traditional new event detection system.