System for Job Title Identification for Online Job Advertisements Using CNN2D Algorithm

Authors

  • Mr.Bibhu Ranjan Saho1, Y,Aarthi , H.Priyanka , A.Manisha

Keywords:

.

Abstract

Large datasets may be mined for informationusing effective data science approaches. Classifying online job adverts has gained alot of interest lately as a means of analysingthe employment market.

References

F. Javed, Q. Luo, M. McNair, F. Jacob, M. Zhao, and T. S. Kang, ‘‘Carotene: A job title classification system for the online recruitment domain,’’ in Proc. IEEE 1st Int. Conf. Big Data Compute. Service Appl., Mar. 2015, pp. 286–293.

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Published

2024-01-02

How to Cite

Mr.Bibhu Ranjan Saho1, Y,Aarthi , H.Priyanka , A.Manisha. (2024). System for Job Title Identification for Online Job Advertisements Using CNN2D Algorithm. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 731–742. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2677

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

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