Realization of text categorization for small-scaled dataset

摘要：

　　Testing of the text categorization and comparison testing is carried out based on small-scaled dataset.In case of lack of trained set,without training,the indexed text keywords are used to categorize the expert subject terms,with large categorization accuracy amounted to 0.82.In case of less trained set,after training,the characteristics vectors acquired from the training are added into experts subject terms and are categorized,with large accuracy amounted to 0.94,the level-3 accuracy amounted to 0.73,so the results are satisfying.

关键词： text categorization vector space model small-scaled dataset

作者: Hua Liu

作者单位: College of Chinese Language and Culture, Jinan University, Guangzhou, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1239-1242

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）