Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods

Alperen Sayar; Ahmet Yıldız; Tuna Çakar; Dilara Şengünoğlu; Seyit Ertuğrul

Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods

Abstract

One of the application fields of DISC self-evaluation analysis was introduced to predict people's performance and orientation in their working life. Each letter in the word DISC represents an essential personal characteristic, dividing the profiles of people in business life into four essential parts. In the current study, DISC analysis is conducted on job postings to match the person with the job posting. The current study was based on the analysis of 3 different datasets with job postings in English, Turkish and Romanian prepared by using web scraping methods and then labeled in accordance with DISC criteria. Several different machine learning algorithms have been performed on the DISC analysis outputs, and they reached the best results with accuracy values of around over 96% on the English dataset, around over 95% on the Turkish dataset, and around over 96% on the Romanian dataset, for both D, I, S, C models.

Keywords

DISC, self-evaluation, job postings, XGBoost, LSTM

References

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Details

Primary Language

English

Subjects

Machine Learning Algorithms

Journal Section

Research Article

Authors

Alperen Sayar ^*
Türkiye

Ahmet Yıldız This is me
Türkiye

Tuna Çakar This is me
Türkiye

Dilara Şengünoğlu This is me
Türkiye

Seyit Ertuğrul This is me
Türkiye

Publication Date

November 21, 2024

Submission Date

September 29, 2022

Acceptance Date

December 31, 2023

Published in Issue

Year 2023 Volume: 6 Number: 2

IZ

https://izlik.org/JA28WT68LW

APA

Sayar, A., Yıldız, A., Çakar, T., Şengünoğlu, D., & Ertuğrul, S. (2024). Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods. Data Science and Applications, 6(2), 5-12. https://izlik.org/JA28WT68LW

AMA

1.Sayar A, Yıldız A, Çakar T, Şengünoğlu D, Ertuğrul S. Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods. DataSCI. 2024;6(2):5-12. https://izlik.org/JA28WT68LW

Chicago

Sayar, Alperen, Ahmet Yıldız, Tuna Çakar, Dilara Şengünoğlu, and Seyit Ertuğrul. 2024. “Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods”. Data Science and Applications 6 (2): 5-12. https://izlik.org/JA28WT68LW.

EndNote

Sayar A, Yıldız A, Çakar T, Şengünoğlu D, Ertuğrul S (November 1, 2024) Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods. Data Science and Applications 6 2 5–12.

IEEE

[1]A. Sayar, A. Yıldız, T. Çakar, D. Şengünoğlu, and S. Ertuğrul, “Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods”, DataSCI, vol. 6, no. 2, pp. 5–12, Nov. 2024, [Online]. Available: https://izlik.org/JA28WT68LW

ISNAD

Sayar, Alperen - Yıldız, Ahmet - Çakar, Tuna - Şengünoğlu, Dilara - Ertuğrul, Seyit. “Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods”. Data Science and Applications 6/2 (November 1, 2024): 5-12. https://izlik.org/JA28WT68LW.

JAMA

1.Sayar A, Yıldız A, Çakar T, Şengünoğlu D, Ertuğrul S. Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods. DataSCI. 2024;6:5–12.

MLA

Sayar, Alperen, et al. “Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods”. Data Science and Applications, vol. 6, no. 2, Nov. 2024, pp. 5-12, https://izlik.org/JA28WT68LW.

Vancouver

1.Alperen Sayar, Ahmet Yıldız, Tuna Çakar, Dilara Şengünoğlu, Seyit Ertuğrul. Performing DISC Personal Inventory Analysis in Job Postings Using Artificial Intelligence Methods. DataSCI [Internet]. 2024 Nov. 1;6(2):5-12. Available from: https://izlik.org/JA28WT68LW