Abstract: A detection method based on SVM filtration was proposed. The method uses text feature as imported vectors to filtrate microblog news, reducing the amount of calculation greatly. A single-pass clustering algorithm based on the improvement of high-frequency words sorting was proposed, which can detect isolated points commendably. Experimental results show that the method can detect news topics from massive microblog data efficiently.