A Survey on Automatic Essay Evaluation System using Machine Learning-Reference-Cited by-同舟云学术

A Survey on Automatic Essay Evaluation System using Machine Learning

Published:2022-03-20 Issue: Volume: Page:160-167
ISSN:2394-4099
Container-title:International Journal of Scientific Research in Science, Engineering and Technology
language:en
Short-container-title:IJSRSET

Author:

Nidhi Patel ¹,Prof. Pradeep Gamit ²

Affiliation:

1. PG Research Scholar, Software Engineering Department, Gujarat Technological University, Gujarat, India

2. Assistant Professor, Computer Engineering Department, Gujarat Technological University, Gujarat, India

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.

Publisher

Technoscience Academy

Subject

General Medicine

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