文章基本信息

标题：Automatic Essay Scoring in E-learning System Using LSA Method with N-Gram Feature for Bahasa Indonesia
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作者：Rico Setiadi Citawan ; Viny Christanti Mawardi ; Bagus Mulyawan 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：164
DOI：10.1051/matecconf/201816401037
语种：English
出版社：EDP Sciences
摘要：In the world of education, e-learning system is a system that can be used to support the educational process. E-learning system is usually used by educators to learners in evaluating learning outcomes. In the process of evaluating learning outcomes in the e-learning system, the form type of exam questions that are often used are multiple choice and short stuffing. For exam questions in the form of essays are rarely used in the evaluation process of educational because of the difference in the subjectivity and time consuming in the assessment process. In this design aims to create an automatic essay scoring feature on e-learning system that can be used to support the learning process. The method used in automatic essay scoring is Latent Semantic Analysis (LSA) with n-gram feature. The evaluation results of the design features automatic essay scoring showed that the accuracy of the average achieved in the amount of 78.65 %, 58.89 %, 14.91 %, 71.37 %, 64.49 % in the LSA unigram, bigram, trigram, unigram + bigram, unigram + bigram + trigram.
关键词：enAutomatic essay scoringE-learningLatent semantic analysisN-gramSingular value decomposition