关键词: 作者身份识别, 机器学习, 计算风格学, 现当代文学

Abstract: This paper uses the statistical model（SVM） for the identification of the author of contemporary Chinese literature works to eight representatives.In the identification process to select a vocabulary based on a variety of statistics as identifying features，and to take training methods based on the low-density and more features，having achieved better result in cross-style works of the author identification.

Key words: authorship attribution, machine learning, computational stylistics, contemporary literature