An example of the application of artificial intelligence models in human resources processes
Creating job postings and selecting suitable candidates among these job postings is a challenging process. This process increases the workload of human resources and causes the process to proceed slowly. It is of great importance for human resources departments to utilize information processing tech...
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Afyon Kocatepe University
2024-10-01
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| Series: | Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/3758718 |
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| author | Mustafa Kemal Aydın Berk Küçük Selim Sürücü |
| author_facet | Mustafa Kemal Aydın Berk Küçük Selim Sürücü |
| author_sort | Mustafa Kemal Aydın |
| collection | DOAJ |
| description | Creating job postings and selecting suitable candidates among these job postings is a challenging process. This process increases the workload of human resources and causes the process to proceed slowly. It is of great importance for human resources departments to utilize information processing technologies to create job postings effectively and to evaluate the CVs of applicants to these postings. This study introduces and analyzes two different technologies that can help human resources. In the process of preparing job advertisements in the field of IT, in the first stage, the word cloud method is used to decide which keywords should be emphasized in the advertisement texts. In the second stage, the resumes of the applicants are analyzed using three different deep learning models such as CNN (Convolutional Neural Network), GRU (Gated Recurrent Unit), and LSTM (Long Short-Term Memory) for classification purposes. While the performance of these models is evaluated using metrics such as accuracy, MCC, F_1 score, and MSE, the decision-making processes of the models with explainable artificial intelligence are also analyzed. In this context, the GRU model, which achieved an accuracy of 99%, provided the most superior result in this study and the literature. This research shows that deep learning models provide high accuracy rates and efficiency in human resources resume classification and candidate matching processes. It also explains that using the word cloud method, the most appropriate keywords can be identified, and advertisements can be created. |
| format | Article |
| id | doaj-art-bfbacca6cf414b119ebc2fb4d8e01f85 |
| institution | OA Journals |
| issn | 1302-1966 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Afyon Kocatepe University |
| record_format | Article |
| series | Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
| spelling | doaj-art-bfbacca6cf414b119ebc2fb4d8e01f852025-08-20T01:56:55ZengAfyon Kocatepe UniversityAfyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi1302-19662024-10-0126Özel Sayı10111610.33707/akuiibfd.144394031An example of the application of artificial intelligence models in human resources processesMustafa Kemal Aydın0https://orcid.org/0009-0000-0306-9730Berk Küçük1https://orcid.org/0009-0005-3500-4540Selim Sürücü2https://orcid.org/0000-0002-8754-3846ÇANKIRI KARATEKİN ÜNİVERSİTESİÇANKIRI KARATEKİN ÜNİVERSİTESİÇANKIRI KARATEKİN ÜNİVERSİTESİCreating job postings and selecting suitable candidates among these job postings is a challenging process. This process increases the workload of human resources and causes the process to proceed slowly. It is of great importance for human resources departments to utilize information processing technologies to create job postings effectively and to evaluate the CVs of applicants to these postings. This study introduces and analyzes two different technologies that can help human resources. In the process of preparing job advertisements in the field of IT, in the first stage, the word cloud method is used to decide which keywords should be emphasized in the advertisement texts. In the second stage, the resumes of the applicants are analyzed using three different deep learning models such as CNN (Convolutional Neural Network), GRU (Gated Recurrent Unit), and LSTM (Long Short-Term Memory) for classification purposes. While the performance of these models is evaluated using metrics such as accuracy, MCC, F_1 score, and MSE, the decision-making processes of the models with explainable artificial intelligence are also analyzed. In this context, the GRU model, which achieved an accuracy of 99%, provided the most superior result in this study and the literature. This research shows that deep learning models provide high accuracy rates and efficiency in human resources resume classification and candidate matching processes. It also explains that using the word cloud method, the most appropriate keywords can be identified, and advertisements can be created.https://dergipark.org.tr/tr/download/article-file/3758718özgeçmiş sınıflandırmayapay zekâ destekli insan kaynakları otomasyonuöneri sistemidoğal dil işlememetin sınıflandırmasıresume classificationai-powered human resources automationrecommender systemnatural language processingtext classification |
| spellingShingle | Mustafa Kemal Aydın Berk Küçük Selim Sürücü An example of the application of artificial intelligence models in human resources processes Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi özgeçmiş sınıflandırma yapay zekâ destekli insan kaynakları otomasyonu öneri sistemi doğal dil işleme metin sınıflandırması resume classification ai-powered human resources automation recommender system natural language processing text classification |
| title | An example of the application of artificial intelligence models in human resources processes |
| title_full | An example of the application of artificial intelligence models in human resources processes |
| title_fullStr | An example of the application of artificial intelligence models in human resources processes |
| title_full_unstemmed | An example of the application of artificial intelligence models in human resources processes |
| title_short | An example of the application of artificial intelligence models in human resources processes |
| title_sort | example of the application of artificial intelligence models in human resources processes |
| topic | özgeçmiş sınıflandırma yapay zekâ destekli insan kaynakları otomasyonu öneri sistemi doğal dil işleme metin sınıflandırması resume classification ai-powered human resources automation recommender system natural language processing text classification |
| url | https://dergipark.org.tr/tr/download/article-file/3758718 |
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