Novel Artificial Intelligence Technologies for Enhanced Recruitment Campaigns Using Social Media

被引:4
|
作者
Suciu, George [1 ]
Pasat, Adrian [1 ]
Vasilescu, Cristian [1 ]
机构
[1] BEIA Consult Int SRL, 12 Peroni, Bucharest, Romania
关键词
Artificial intelligence; Sentiment analysis; Social media; Recruitment;
D O I
10.12753/2066-026X-19-169
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The recent digital development forced many market leaders to adopt advanced Artificial Intelligence (AI) technologies to facilitate the transition from rigid processes to more flexible, outcome-driven approaches. The use of AI presents numerous benefits. First of all, the AI technology helps enable the analysis of unstructured data from a variety of sources across social media channels. Also, AI allows companies not only to automate certain processes but also to reconfigure them to complement and, more importantly, augment the skills and expertise of employees. The new era of artificial intelligence-systems gather information, analyze, recommend, plan and more importantly, learn. This paper presents an innovative approach to recruitment. According to recent studies, business intelligence and analytics showed to be the most crucial area that AI can deliver results. We analyze how software companies are more prone to integrate AI applications in marketing because of the new market trend - digital marketing. Services companies, on the other hand, are more interested in the use of AI in human resources. Our case study applies Sentiment Analysis (SA) techniques to improve the recruitment processes aiming to increase the efficiency of internship campaigns by ensuring a better match between the candidates' professional skills and the hiring company fields of activity. We demonstrate that AI can improve the recruitment process and assist in hiring the right persons. Thus, the HR staff has the opportunity to select the internship candidates based on their skills and determine the right position where abilities of an individual candidate are most needed. This novel approach not only increases the company productivity but also motivates candidates to improve their skills.
引用
收藏
页码:232 / 239
页数:8
相关论文
共 50 条
  • [1] Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
    Aboualola, Mohamed
    Abualsaud, Khalid
    Khattab, Tamer
    Zorba, Nizar
    Hassanein, Hossam S.
    [J]. IEEE ACCESS, 2023, 11 : 73782 - 73802
  • [2] Digital technologies and the democratization of clinical research: Social media, wearables, and artificial intelligence
    Korjian, Serge
    Gibson, C. Michael
    [J]. CONTEMPORARY CLINICAL TRIALS, 2022, 117
  • [3] Design Novel AQM Schemes By Using Artificial Intelligence Technologies
    Ghasempour, S.
    Hedayati, M.
    Kamali, S. H.
    Shakerian, R.
    [J]. JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2011, 2 (03): : 436 - 447
  • [4] Using Social Media and Artificial Intelligence to Find Your Purpose
    Klein, Peter
    [J]. CREATIVE NURSING, 2024, 30 (02) : 103 - 110
  • [5] COGNITIVE TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN SOCIAL PERCEPTION
    Kuzior, Aleksandra
    Kwilinski, Aleksy
    [J]. MANAGEMENT SYSTEMS IN PRODUCTION ENGINEERING, 2022, 30 (02) : 109 - 115
  • [6] OPTIMISING ADVERTS AND CAMPAIGNS FOR EFFICIENT AND COST-EFFECTIVE PATIENT RECRUITMENT USING SOCIAL MEDIA
    Wade, A. G.
    Crawford, G. M.
    McLennan, K.
    [J]. VALUE IN HEALTH, 2016, 19 (07) : A482 - A482
  • [7] THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN RUSSIAN MEDIA AND JOURNALISM
    Davydov, Sergey G.
    Zamkov, Audrey, V
    Krasheninnikova, Maria A.
    Lukina, Maria M.
    [J]. VESTNIK MOSKOVSKOGO UNIVERSITETA. SERIYA 10. ZHURNALISTIKA, 2023, (05): : 3 - 21
  • [8] Detection of Cyberbullying in Social Media Texts Using Explainable Artificial Intelligence
    Islam, Mohammad Rafsun
    Bataineh, Ahmed Saleh
    Zulkernine, Mohammad
    [J]. UBIQUITOUS SECURITY, UBISEC 2023, 2024, 2034 : 319 - 334
  • [9] USAGE OF ARTIFICIAL INTELLIGENCE ON SOCIAL MEDIA IN EUROPE
    Kalinova, Eva
    [J]. AD ALTA-JOURNAL OF INTERDISCIPLINARY RESEARCH, 2022, 12 (02): : 330 - 333
  • [10] THE BENEFITS OF ARTIFICIAL INTELLIGENCE IN SOCIAL MEDIA MONITORING
    Oliveira, Kaique dos Santos
    [J]. REVISTA DE CIENCIAS HUMANAS DA UNIVERSIDADE DE TAUBATE, 2021, 14 (01):