A Comparison of Personality Prediction Classifiers for Personnel Selection in Organizations Based on Industry 4.0
Nowadays, the internet has an astonishing amount of useful material for personality mining; nevertheless, many companies fail to exploit the information and screen job candidates using personality tests that fail to grasp the very information they are trying to gather. This research aims to highligh...
সংরক্ষণ করুন:
| অন্যান্য লেখক: | , , , |
|---|---|
| বিন্যাস: | Capítulo de libro |
| ভাষা: | en_US |
| প্রকাশিত: |
IGI Global
2020
|
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://doi.org/10.4018/978-1-7998-4730-4.ch007 https://www.igi-global.com/chapter/a-comparison-of-personality-prediction-classifiers-for-personnel-selection-in-organizations-based-on-industry-40/263106 |
| ট্যাগগুলো: |
ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
|
| সংক্ষিপ্ত: | Nowadays, the internet has an astonishing amount of useful material for personality mining; nevertheless, many companies fail to exploit the information and screen job candidates using personality tests that fail to grasp the very information they are trying to gather. This research aims to highlight and compare the different machine learning classifiers that can be used to predict the personality of a Spanish-speaking job applicant based on the written content posted on their social networks. The authors conduct experiments considering the most critical measures (such as accuracy, precision, and recall) to evaluate the classification performance. The results show that the random-forest classifier outperforms the other classifiers. It is of utmost importance to correctly assess the resumes to determine the most qualified people in a smart manufacturing position. |
|---|