Web Based Job Selection Through Curriculum Vitae Analysis Using Natural Language Processing

Author

Kamuruko, Allan S

Title

Web Based Job Selection Through Curriculum Vitae Analysis Using Natural Language Processing

Abstract

This study examines the web based job selection through cv analysis application concept for Hr. Department. This been brought about by the short falls of the manual way of analyzing CVs currently being used. To develop an up to standard system, the researcher employed a data gathering technique which is a questionnaire. Respondents expressed concerns over the manual way of shortlisting CVs. This system replaced manual way of shortlisting CVs with a web based job selection through CV analysis applications that analyze thousands of resumes and produce a fair score and then rank candidates based on CV score. Candidate will upload their own CV into the system which will be further used by the system to shortlist them for the position. Thus, the system will enable a more effective way to shortlist candidates from a large number of applicants providing expert workforce for the organization.

Date

2023

Publisher

BUSE

Keywords

Web Based

Job Selection

Natural Language Processing

Curriculum Vitae

Supervisor

Mr. Kanyongo