K-means clustering for answer categorization on latent semantic analysis automatic Japanese short essay grading system

Anak Agung Putri Ratna, Rashelia Radela Noviaindriani, Lea Santiar, Ihsan Ibrahim, Prima Dewi Purnamasari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper discusses about the development of an automatic essay grading system for Japanese short essay answer by applying the K-Means Clustering to group each question's topic and Latent Semantic Analysis to make the assessment. The system is developed to help facilitate the examination of essay answers that are currently still being done manually. The development of the system itself is done by using Python programming language. The test scenarios were carried out by varying the types of hiragana and romaji input also the process of stopwords elimination. From the results obtained and the analysis carried out, the form or type of text input used and the use of parameter such as stopwords affect the accuracy of the assessment. The developed automatic essay grading system was able to obtain the highest accuracy rate of 89% by using input in the form of romaji letters and without the stopwords elimination process.

Original languageEnglish
Title of host publication2019 16th International Conference on Quality in Research, QIR 2019 - International Symposium on Electrical and Computer Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728118987
DOIs
Publication statusPublished - Jul 2019
Event16th International Conference on Quality in Research, QIR 2019 - Padang, Indonesia
Duration: 22 Jul 201924 Jul 2019

Publication series

Name2019 16th International Conference on Quality in Research, QIR 2019 - International Symposium on Electrical and Computer Engineering

Conference

Conference16th International Conference on Quality in Research, QIR 2019
CountryIndonesia
CityPadang
Period22/07/1924/07/19

Keywords

  • Answer categorization
  • Essay grading
  • K-Means
  • Latent semantic analysis
  • Tf-idf

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  • Cite this

    Ratna, A. A. P., Noviaindriani, R. R., Santiar, L., Ibrahim, I., & Purnamasari, P. D. (2019). K-means clustering for answer categorization on latent semantic analysis automatic Japanese short essay grading system. In 2019 16th International Conference on Quality in Research, QIR 2019 - International Symposium on Electrical and Computer Engineering [8898271] (2019 16th International Conference on Quality in Research, QIR 2019 - International Symposium on Electrical and Computer Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QIR.2019.8898271