A Survey on Automatic Essay Evaluation System using Machine Learning

Authors

  • Nidhi Patel  PG Research Scholar, Software Engineering Department, Gujarat Technological University, Gujarat, India
  • Prof. Pradeep Gamit  Assistant Professor, Computer Engineering Department, Gujarat Technological University, Gujarat, India

DOI:

https://doi.org//10.32628/IJSRSET229224

Keywords:

Machine Learning, Sentimental Analysis, NLP, Essay Evaluation

Abstract

Manually assessment of descriptive answers in exam and assessment of an Essay requires more time and effort. In this era of E-Learning the Automated System for essay assessment is need of the time. There are many researches has been performed for this domain. In this paper we have reviewed some of the work related to this. Most of research uses Semantic Similarity Score and Sentimental Analysis for this purpose. Mostly NLTK and POS (Part of the Speech) is used. Various traditional algorithm of Machine Learning like SVM, Naïve Bayes, Random Forest etc. are used for performance classification. They have used measurement parameters in terms of KAPPA Statistics (QWK). We have also summarized methods related to Essay Evaluations with pros and cons in this paper. Feature selection methods and NLP attributes are also discussed.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nidhi Patel, Prof. Pradeep Gamit, " A Survey on Automatic Essay Evaluation System using Machine Learning , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.160-167, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229224