• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Behavior Research Methods, Instruments & Computers >Use of latent semantic analysis for predicting psychological phenomena: Two issues and proposed solutions
【24h】

Use of latent semantic analysis for predicting psychological phenomena: Two issues and proposed solutions

机译：利用潜在语义分析预测心理现象：两个问题和建议的解决方案

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Latent semantic analysis (LSA) is a computational model of human knowledge representation that approximates semantic relatedness judgments. Two issues are discussed that researchers must attend to when evaluating the utility of LSA for predicting psychological phenomena. First, the role of semantic relatedness in the psychological process of interest must be understood. LSA indices of similarity should then be derived from this theoretical understanding. Second, the knowledge base (semantic space) from which similarity indices are generated must contain "knowledge" that is appropriate to the task at hand. Proposed solutions are illustrated with data from an experiment in which LSA-based indices were generated from theoretical analysis of the processes involved in understanding two conflicting accounts of a historical event. These indices predict the complexity of subsequent student reasoning about the event, as well as hand-coded predictions generated from think-aloud protocols collected when students were reading the accounts of the event.
机译：潜在语义分析（LSA）是一种人类知识表示的计算模型，它近似于语义相关性判断。在评估LSA预测心理现象的效用时，研究人员必须讨论两个问题。首先，必须了解语义相关性在所关注的心理过程中的作用。 LSA相似性指标应从该理论理解中得出。其次，从中生成相似性索引的知识库（语义空间）必须包含适合手头任务的“知识”。提出的解决方案用来自实验的数据进行说明，其中基于LSA的索引是通过对理解历史事件的两个相互冲突的过程所涉及的过程进行理论分析而生成的。这些索引可预测学生随后对该事件进行推理的复杂性，以及从学生阅读事件记录时收集的思考协议产生的手工编码预测。

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