The DOI matches its Crossref record.
A Comparative Analysis of Euclidean, Jaccard and Cosine Similarity Measure and Arabic Wordnet for Automated Arabic Essay Scoring
Abstract
The Coronavirus crisis has cast a shadow over the education sector; As it pushed schools, universities, and educational institutions to close their doors, to reduce the chances of its spread. This raised great concern among those affiliated with this sector, especially students preparing to take important exams. All this pushed educational institutions to switch to E-learning, as an alternative that has long been talked about over the need to integrate it into the educational process. From this standpoint, the importance of electronic exams as an alternative to the traditional paper exams appears, there are many assessment methods in E-learning, one of these assessments is the essay. The study used a variety of similarity tests and used an Arabic data set of 40 student answers. The results indicate that the Arabic Automated Essay System will improve with Cosine similarity and Arabic WordNet. Automatic Arabic Essay Scoring using WordNet is higher in terms of precision than the Automated Arabic Essay Scoring without using WordNet dependent on the mean absolute error value and Pearson correlation. The results clearly show the Cosine similarity with Arabic WordNet has the lowest error. Cosine similarity with all stemming types has the lowest error compared with the Jaccard and Euclidean similarity. Euclidean similarity has the highest error.
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“Cosine Similarity has a better accuracy rate compared to the Euclidean Distance algorithm for calculating similarity [9].”
From Comparison of Cosine Similarity, Rabin-Karp, and Levenshtein Distance Algorithms for Plagiarism Detection in Document (2025) · cites this paper as [9]
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Research works printed but not linked: 19
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Cited by
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Pardede, J., Yudistira, A., & Yudistira, A. (2025) · Ultimatics: Jurnal Teknik Informatika · doi:10.31937/ti.v17i1.3867
Metadata
- Authors
- Alobed, M., Altrad, A. M. M., & Bakar, Z. B. A.
- Affiliations
- Al Madinah International University (MY)
- Venue
- 2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP)
- Publisher
- IEEE
- Published
- 2021-06-15
- Pages
- 70-74
- OpenAlex
- W3188699919
- Cited by
- 9
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 1
- FWCI
- 1.24
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Information Retrieval & Knowledge Management (CAMP) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
- Keywords
- automated essay scoring, cosine similarity, Jaccard similarity, Arabic WordNet, stemming, similarity measures, e-learning evaluation
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