%A Tang Yafen %T Research of Automatically Recognizing Name in Pre-Qin Ancient Chinese Classics %0 Journal Article %D 2013 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2013.07-08.09 %P 63-68 %V 29 %N 7/8 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3764.shtml} %8 2013-08-25 %X The ancient Chinese name is automatically recognized by the machine learning model of Conditional Random Field based on Pre-Qin corpus from a point on the research of text mining and analysis of digital humanities. The training model, the F-score of which is 91.52% in cross-validation corpus, is identified as the optimal performance of ancient Chinese name recognition and experimentally verified based on Pre-Qin corpus containing 187 901 words. The research is not only helpful to extract the named entity from Pre-Qin ancient literature but also beneficial to explore the relationship and background among people in other humanities and social sciences.