Work

Resume Classification Using ML Techniques

Year: 2023

Type: conference-paper

Abstract: In today’s world, a typical job ad on the web attracts a massive number of applications in a short period of time. Manual screening of these resumes is not only time-consuming but also very expensive for the hiring companies. To address these challenges, this research paper proposes a solution that aims to automatically classify resumes to their corresponding suitable positions. To find the best possible solution, different ML techniques like Decision Tree, Random Forest, KNN, Support Vector are researched and the most accurate one is chosen. This approach has the potential to revolutionize the hiring process by reducing costs, saving time, and ensuring fairness.

Source: International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)

DOI: 10.1109/iconscept57958.2023.10169907

Authors: B. Surendiran, Tejus Paturu, Harsha Vardhan Chirumamilla, Maruprolu Naga Raju Reddy

Institution: National Institute of Technology, Puducherry

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4383747409

FWCI: 22.17

Cites: 8

Cited by: 29

Related to: 10