INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Every year boards and universities exams are conducted offline mode. Large number of students attend subjective type exam. For evaluation of such large number of papers manually required hard efforts. Sometimes quality of evaluation may change according to mood of evaluator. The evaluation work is very lengthy and time consuming. Competitive and entrance exams typically contain objective or multiple-choice questions. These exams are evaluated on machine as they conducted on machine and therefore their evaluation is easy. It also saves multiple resources and human interaction and hence it is errorless. There are multiple system are available for evaluation objective (MCQ) type question but there is no provision for subjective (Descriptive) type question. It will be very helpful for educational institutions if the process of evaluation of descriptive answers is automated to capably assess student’s exam answer sheets.
Keywords:
Subjective Answer Evaluation, Big Data, Machine Learning, Natural Language Processing, Word2vec.
Cite Article:
"Online Subjective Answer Verifying System using Artificial Intelligence", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.999 - 1001, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211148.pdf
Downloads:
000337209
Publication Details:
Published Paper ID: IJSDR2211148
Registration ID:202769
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 999 - 1001
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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