Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM13010
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The corporate world nowadays doesn’t focusjust on the talents a possible worker possesses however additionally their temperament. temperament is what helps one achieve success in skilled still as personal life. Hence, the recruiter should bear in mind of the personalitytraits an individual has. With Associate in Nursing exponential increase in job seekers however a decrease within the variety of jobs, it’s troublesome to manually order the simplest match candidate for an acceptable job by gazing the CV. This paper tries to look at totally different machine learning approaches forefficiently predicting temperament through CV analysis victimization language process (NLP) techniques still. Results show that the Random Forest formula achieved higher accuracy compared to alternative algorithms like kNN, supply Regression, SVM and Naive Bayes.
KEYWORDS
Publication Date
10/4/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
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.
Related research in the same subject area
Loading similar articles...