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Artificial Intelligence Enabled, Social Media Leveraging Job Matching System for Employers and Applicants | IEEE Conference Publication | IEEE Xplore

Artificial Intelligence Enabled, Social Media Leveraging Job Matching System for Employers and Applicants


Abstract:

Social media is increasingly becoming a window to the user's personality. Hiring the right candidate is a formidable task for any organization and particularly in the hig...Show More

Abstract:

Social media is increasingly becoming a window to the user's personality. Hiring the right candidate is a formidable task for any organization and particularly in the highly competitive software industry. This paper presents a machine learning and natural language processing based system to leverage social media to assess job applicants for their suitability for a given job. We use LinkedIn profiles to assess the technical suitability and combine Twitter posts with them to assess the emotional intelligence of the applicant. The system thus indicates both the technical and soft skills perspective of the job applicants. The system can be used by both prospective employers and employees. Employers can use it to shortlist job applicants and prospective employees can use it to evaluate their chances, retrospect, and take any corrective action. The results from the created system are encouraging.
Date of Conference: 28-30 December 2022
Date Added to IEEE Xplore: 17 April 2023
ISBN Information:
Conference Location: Hyderabad, India
References is not available for this document.

I. Introduction

Workplace diversity is of prime importance across all organizations. Candidates should not be judged based on their religion, gender, race, age, or other external factors. Using automated Artificial Intelligence based tools that can help eliminate or at least reduce these factors and conscious biases introduced by humans in the decision-making process is currently the need. Reducing human subjectivity in applicant screening is crucial to a fair and progressive job market. At the same time, care must be taken not to introduce bias through the datasets used and the algorithmic solutions designed. Employing this guiding principle is shown to improve the organization's growth as well. It is now a widely accepted fact that a more diverse work environment, in fact, boosts the company's growth. Using an Artificial Intelligence approach to hiring can help reduce human biases and increase diversity in the workplace. It is now common practice for hiring teams to use social media during the hiring process [1]. The work described in this paper helps automate the process to alleviate their workload.

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References

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