Subject extraction from a text is very important for natural languag e processing. Traditional methods mainly depend on the mode of "thesaurus plus m atch". It is not fit to process Internet news because of its limited volume and slow update speed. After analyzing the news structure carefully, this paper pres ents a new practical method to extract news subjects without thesaurus, and give the main implementing procedure. Instead of large thesaurus, it uses the specia l structure of Internet news to find the repeated strings. These repeated string s could express the news subjects very well. Experimental results show that this method can extract the most important subject strings from most of Internet new s rapidly and efficiently. Moreover, this method is equally efficient to other A sian languages such as Japanese and Korean, as well as other western languages.