Counterfeit Job Post Prediction

P.Reshma

Counterfeit Job Post Prediction

March 2023

Vol-9, Issue-2

Paper ID: 19542

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Fake Job Online Recruitment Machine Learning Ensemble Approach False job prediction Data mining.

Abstract

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.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	P.Reshma	ANITS

How to Cite

Use the following formats to cite this article in your research.

APA Style

P.Reshma (2023). Counterfeit Job Post Prediction. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 1247-1255.

MLA Style

P.Reshma. "Counterfeit Job Post Prediction." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 1247-1255.

IEEE Style

P.Reshma, "Counterfeit Job Post Prediction," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 1247-1255, 2023.

Vancouver Style

P.Reshma. Counterfeit Job Post Prediction. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):1247-1255.

Harvard Style

P.Reshma (2023) 'Counterfeit Job Post Prediction', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 1247-1255.

Chicago Style

P.Reshma. "Counterfeit Job Post Prediction." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1247-1255.

Turabian Style

P.Reshma. "Counterfeit Job Post Prediction." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1247-1255.