首页> 外文会议>Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on >Improvement of Estimation Accuracy of Factor Scores from Feature Values of Statements
【24h】

Improvement of Estimation Accuracy of Factor Scores from Feature Values of Statements

机译:从陈述的特征值提高因子得分的估计准确性

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In order to avoid the problem of mismatch between the questioner and the respondent, we have conducted impression evaluation experiment and nine factors are obtained as a result. Then factor scores of any other statements are tried to be estimated by using multiple regression analysis. This result, however, shows that the estimation accuracy was insufficient and that the ninth factor could not be obtained. To improve the estimation accuracy, some feature values, such as word image ability and closing sentence expressions are introduced in this paper. The result of the analysis shows that the estimation accuracy is drastically improved and that closing sentence expressions as well as style or content of sentences are significant for estimation accuracy.
机译:为了避免发问者与被访者不匹配的问题,我们进行了印象评估实验,得出了九个因素。然后尝试使用多元回归分析来估计其他任何陈述的因子得分。但是,该结果表明估计精度不足并且不能获得第九因子。为了提高估计的准确性,本文引入了一些特征值,例如单词图像能力和闭句表达。分析结果表明,估计准确度得到了极大的提高,结束句表达以及句子的样式或内容对于估计准确度具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号