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Title: :  Counterfeit Job Post Prediction
PaperId: :  19542
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19542
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
P.ReshmaANITS

Abstract

Information Technology
Fake Job, Online Recruitment, Machine Learning, Ensemble Approach, False job prediction, Data mining.
With the development of social media and modern technologies, advertising new job openings has recently become a very prevalent problem in the current world. Therefore, everyone will have a lot of reason to be concerned about bogus job postings. Fake job posting prediction presents a variety of difficulties, just like many other classification tasks. In order to determine whether a job posting is legitimate or fake, this article suggested using various data mining methods and classification algorithms like logistic regression, support vector machine, and random forest classifier. 18000 data from the Employment Scam Aegean Dataset (EMSCAD) were used in our experiments. The trained classifier shows approximately 98% classification accuracy (logistic regression) to predict a fraudulent job post.

Citations

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IJARIIE P.Reshma. "Counterfeit Job Post Prediction" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 1247-1255
MLA P.Reshma. "Counterfeit Job Post Prediction." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 1247-1255.
APA P.Reshma. (2023). Counterfeit Job Post Prediction. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1247-1255.
Chicago P.Reshma. "Counterfeit Job Post Prediction." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 1247-1255.
Oxford P.Reshma. 'Counterfeit Job Post Prediction', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 1247-1255. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Counterfeit_Job_Post_Prediction_ijariie19542.pdf (Accessed : ).
Harvard P.Reshma. (2023) 'Counterfeit Job Post Prediction', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1247-1255IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Counterfeit_Job_Post_Prediction_ijariie19542.pdf (Accessed : )
IEEE P.Reshma, "Counterfeit Job Post Prediction," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 1247-1255, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Counterfeit_Job_Post_Prediction_ijariie19542.pdf [Accessed : ].
Turabian P.Reshma. "Counterfeit Job Post Prediction." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver P.Reshma. Counterfeit Job Post Prediction. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 1247-1255. Available from: https://ijariie.com/AdminUploadPdf/Counterfeit_Job_Post_Prediction_ijariie19542.pdf
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