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潜在语义分析方法在主观题评判中的应用
引用本文:陈明晶.潜在语义分析方法在主观题评判中的应用[J].浙江科技学院学报,2007,19(2):93-96,132.
作者姓名:陈明晶
作者单位:浙江财经学院,信息学院,杭州,310018
摘    要:主观题的自动评判是实现在线考试功能的一个关键技术,由于具有相当的难度,故目前国内外在这方面的研究还不多,真正实用的系统则更少。传统的主观题评判系统是基于关键字匹配的,仅比较关键字就得出结论,不仅结果不准确,而且存在隐患。为此,在引入传统的潜在语义分析方法的同时对其进行改进,并为不同的关键字使用不同的权重以体现语义的重要性,由此设计出一种加权的语义分析方法。经实验证明,该方法的准确率有所提高,达到了预期的效果。

关 键 词:潜在语义分析(LSA)  语义相似度  主观题  自动评判
文章编号:1671-8798(2007)02-0093-04
修稿时间:2007-03-21

Applying of Latent Semantic Analysis in Automated Assessment of Subjective Tests
CHEN Ming-jing.Applying of Latent Semantic Analysis in Automated Assessment of Subjective Tests[J].Journal of Zhejiang University of Science and Technology,2007,19(2):93-96,132.
Authors:CHEN Ming-jing
Institution:Information School, Zhejiang University of Finance and Economies, Hangzhou 310018, China
Abstract:Automated assessment of subjective tests is the key technology in the reality of the online exam.Because of its hardness,little research has been done in this area,and less real practical system.Traditional automated assessment of subjective tests is based on key words matching.It only matches all of the key words to draw a conclusion.The results are inaccurate,and troubles hidden.Based on the introduction of the traditional method of latent semantic analysis,the author improves it,and gives different weights to different key words,and designs a weighted semantic analysis.The experiment proved that the accuracy rate has been increased,so as to achieve the expectant results.
Keywords:latent semantic analysis  semantic similarity  subjective test  automated assessment
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