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International Journal of Scientific Research in Science, Engineering and Technology
Print ISSN: 2395-1990 | Online ISSN : 2394-4099 (www.ijsrset.com)
doi : https://doi.org/10.32628/IJSRSET229224
160
A Survey on Automatic Essay Evaluation System
using Machine Learning
Nidhi Patel
1
, Prof. Pradeep Gamit
2
1
PG Research Scholar, Software Engineering Department, Gujarat Technological University, Gujarat, India
2
Assistant Professor, Computer Engineering Department, Gujarat Technological University, Gujarat, India
Article Info
Volume 9, Issue 2
Page Number : 160-166
Publication Issue :
March-April-2022
Article History
Accepted : 20 March 2022
Published: 30 March 2022
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.
Keywords: Machine Learning, Sentimental Analysis, NLP, Essay Evaluation
I. INTRODUCTION
With the ease of online education during pandemic,
the need of automated essay and long answer
evaluations are also in need. Large amount of
enrolment in various courses from the students and
submissions of their work requires a model that can be
used for evaluation. As NLP has been used in so many
applications related to long and short text, it can also
be useful for Essay Evaluation also. NLP [1] has proven
its efficiency in various applications like
summarization of text, sentiment analysis,
categorization of news etc. There are many options in
machine learning that can be applied with NLP for
essay evaluation also.
II. Various Methodologies
NATURAL LANGUAGE PROCESSING (NLP): In the
field of technology, NLP makes systems to make
communication toward users. This communication is
done using human languages. We can define a
language as a set of rules or we can also say a set of
symbols called characters. In any human language,
characters are combined in proper way, as a result
there should be a way to convey the information for
understanding the language to machine. The final