Automatic Document Classification Part II . Additional Experiments
Automatic Document Classification Part II . Additional Experiments
复制标题
自动文档分类第二部分。
DOI：
10.1145/321217.321219
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发表时间：
1964
期刊：
影响因子：
--
通讯作者：
M. Bernick
中科院分区：
文献类型：
--
作者：
H. Borko;M. Bernick
本研究报告的结果，一系列的实验中的自动文档分类技术。沿着比较两种不同的分类计划以及两种自动将文档分类到类别的方法。它的结论是，虽然贝叶斯和因子得分方法之间的预测效率没有显着差异，自动文档分类增强使用的因素分析派生的分类时间表。大约55%的文件被自动正确分类。
This study reports the results of a series of experiments in the techniques of automatic document classification. Two different classification schedules are compared along with two methods of automatically classifying documents into categories. It is concluded that, while there is no significant difference in the predictive efficiency between the Bayesian and the Factor Score methods, automatic document classification is enhanced by the use of a factor-analytically-derived classification schedule. Approximately 55 percent of the document were automatically and correctly classified.