Automatic Answer Evaluation System Using Keyword Matching Approach
Authors
Sanah Sayyed1, *, Bharat Abhimanyu Shelke2, C. Namrata Mahender1
1Department of CSIT, Dr. B.A.M. University, Aurangabad, Maharashta, India
2SCS College, Omerga, Dharashiv, Maharashta, India
*Corresponding author.
Email: sanahsayyed92@gmail.com
Corresponding Author
Sanah Sayyed
Available Online 26 May 2025.
- DOI
- 10.2991/978-94-6463-716-8_80How to use a DOI?
- Keywords
- Answer Evaluation; Keyword Matching; Tokenization; Natural Language Processing
- Abstract
Automatic answer evaluation is a challenging and efficient approach for answer extraction from a text corpus. In this paper, we describe the method of automatic answer extraction using keyword matching. The pre-processing to the answer involves lowering the case and splitting it into words, and then counting the number of matched keywords in the answer. We have tested the proposed method on the dataset of answers and keywords and show that the proposed method indeed identifies the correct answer when the numbers of matched keywords are more.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sanah Sayyed AU - Bharat Abhimanyu Shelke AU - C. Namrata Mahender PY - 2025 DA - 2025/05/26 TI - Automatic Answer Evaluation System Using Keyword Matching Approach BT - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025) PB - Atlantis Press SP - 1079 EP - 1093 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-716-8_80 DO - 10.2991/978-94-6463-716-8_80 ID - Sayyed2025 ER -