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June-2022
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal )
Impact factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal
UGC Approved Journal no 63975(19)
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2206208
Registration ID:
403778
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Title
Study on Fake Job Predictor
Abstract
In the past few years, because of advancement of latest technology, advertisement of job posts has become head ace in present world. So, fake job prediction posts task is going to be challenging for all of us.
We use Random Forest Classifier to predict, whether job post is real or fraudulent. This experiment is done on Employment Scam Aegean Dataset (EMSCAD) which containing 1800 samples. This trained classifier has given us accuracy of 95% when it comes to predict a fake job post.
Key Words
Fake Job Prediction, Random Forest Classifier, Employment Scam.
Cite This Article
"Study on Fake Job Predictor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.c78-c84, June-2022, Available :http://www.jetir.org/papers/JETIR2206208.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Study on Fake Job Predictor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppc78-c84, June-2022, Available at : http://www.jetir.org/papers/JETIR2206208.pdf
Publication Details
Published Paper ID: JETIR2206208
Registration ID: 403778
Published In: Volume 9 | Issue 6 | Year June-2022
Page No: c78-c84
Country: Chandrapur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2206208
Published Paper PDF: https://www.jetir.org/papers/JETIR2206208
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