Abstract: Finding the first full-time, major-related job is a challenge faced by most college students, particularly those who have not gained much working experience before entering the job market. This challenge is amplified for the students majoring in Information Technology (IT), and cybersecurity in particular, due to the constantly changing technology landscape, intensively competitive markets, and increasingly high expectations from employers on their recruits. This study shows the initial results of a tool called e-RAP which allows the students to submit their current resumes, obtain automatic feedback and a rating report, and consequently take actions to strengthen their portfolio. The authors employ machine learning and natural language processing (NLP) to create this resume analysis and reporting tool. The methodology section provides an overview of the e-RAP analysis process, followed by elaborations on data curation, data collection, and analysis techniques. Several visual examples of the reports generated by the e-RAP illustrate the effectiveness of the tool in helping enhance students’ resumes and eventually the skills areas they need to work on or highlight. The future direction includes systematic evaluation of the effectiveness of e-RAP and its impact on our student’s ability to get high quality positions. Diving deeper into the various types of cybersecurity positions is also planned.
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Recommended Citation: Green, N., Liu, X., Murphy, D., (2020). Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Information Systems Education Journal18(3) pp 28-37. http://ISEDJ.org/2020-3/ ISSN : ISSN: 1545-679X. A preliminary version appears in The Proceedings of EDSIGCON 2019