Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM34670

AI BASED EVALUATION SYSTEM FOR SUBJECTIVE ANSWERS

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM34670

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

KRR

K. RAGINI REDDY

TS

T. SHIRISHA

GD

G. DILEEP

KM

K. MALLIKARJUN

DKKK

DR. K. KISHORE KUMAR

Author Services & Downloads

Full Articles

Abstract

Nowadays, we have seen that the descriptive answering systems are replaced by objective type of examinations. But when the universities, and institutions want to check the actual and deep knowledge of a student the descriptive answering system plays an important role. Checking of the descriptive answers are a hectic job for the teachers hence we require some automatic system for Checking of the descriptive answers to reduce this hectic Work. Descriptive paper evaluation is a tricky and tiresome task to do by manual labor. The AI based automatic digital answer evaluation system for descriptive answering is an automatic system which checks the descriptive type of answers on its Based on given input

KEYWORDS

. The Various machine learning natural language processing techniques and tools such as Wordnet word2vec Word Mover’s Distance(WMD) Multinomial Naive Bayes(MNB) are used to evaluate descriptive answers automatically.

Cite This Article

K. RAGINI REDDY, T. SHIRISHA, G. DILEEP, K. MALLIKARJUN, DR. K. KISHORE KUMAR, "AI BASED EVALUATION SYSTEM FOR SUBJECTIVE ANSWERS," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/31/45436

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

0

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...