Personality predictive analysis based on artificial neural network
Individual personality is a vital criterion in a human life as well as in a development of an organization. Every individual holds a different personality type with various characteristics in terms of thinking, feeling, and behaving. Due to that matter, analyzing human personality should be done car...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39336/ http://umpir.ump.edu.my/id/eprint/39336/1/Personality%20predictive%20analysis%20based%20on%20artificial%20neural%20network.pdf http://umpir.ump.edu.my/id/eprint/39336/2/Personality%20predictive%20analysis%20based%20on%20artificial%20neural%20network_ABS.pdf |
| _version_ | 1848825740773031936 |
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| author | Zuriani, Mustaffa Nur Alia Shahira, Mohd Zaidi Ernawan, Ferda Elhadi, Haithm Hakim, Muhammad Malik |
| author_facet | Zuriani, Mustaffa Nur Alia Shahira, Mohd Zaidi Ernawan, Ferda Elhadi, Haithm Hakim, Muhammad Malik |
| author_sort | Zuriani, Mustaffa |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Individual personality is a vital criterion in a human life as well as in a development of an organization. Every individual holds a different personality type with various characteristics in terms of thinking, feeling, and behaving. Due to that matter, analyzing human personality should be done carefully which can be challenging and time consuming. Therefore, this study presents a personality prediction model based on Artificial Neural Network (ANN). The prediction was realized on the Big Five personality model. The dataset consists of 709 rows and retrieved from open-source website called Kaggle. For training, validation and testing phases, the dataset was divided into 70:15:15 respectively. Findings of the study demonstrated the capability of ANN in producing better accuracy compared to three identified algorithms which includes Naïve Bayes, ZeroR and Random Forest. |
| first_indexed | 2025-11-15T03:33:44Z |
| format | Conference or Workshop Item |
| id | ump-39336 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:33:44Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-393362023-11-20T07:16:51Z http://umpir.ump.edu.my/id/eprint/39336/ Personality predictive analysis based on artificial neural network Zuriani, Mustaffa Nur Alia Shahira, Mohd Zaidi Ernawan, Ferda Elhadi, Haithm Hakim, Muhammad Malik QA75 Electronic computers. Computer science QA76 Computer software T201 Patents. Trademarks TA Engineering (General). Civil engineering (General) Individual personality is a vital criterion in a human life as well as in a development of an organization. Every individual holds a different personality type with various characteristics in terms of thinking, feeling, and behaving. Due to that matter, analyzing human personality should be done carefully which can be challenging and time consuming. Therefore, this study presents a personality prediction model based on Artificial Neural Network (ANN). The prediction was realized on the Big Five personality model. The dataset consists of 709 rows and retrieved from open-source website called Kaggle. For training, validation and testing phases, the dataset was divided into 70:15:15 respectively. Findings of the study demonstrated the capability of ANN in producing better accuracy compared to three identified algorithms which includes Naïve Bayes, ZeroR and Random Forest. Institute of Electrical and Electronics Engineers Inc. 2022-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39336/1/Personality%20predictive%20analysis%20based%20on%20artificial%20neural%20network.pdf pdf en http://umpir.ump.edu.my/id/eprint/39336/2/Personality%20predictive%20analysis%20based%20on%20artificial%20neural%20network_ABS.pdf Zuriani, Mustaffa and Nur Alia Shahira, Mohd Zaidi and Ernawan, Ferda and Elhadi, Haithm and Hakim, Muhammad Malik (2022) Personality predictive analysis based on artificial neural network. In: Proceedings - International Conference on Informatics and Computational Sciences; 6th International Conference on Informatics and Computational Sciences, ICICoS 2022 , 28-29 September 2022 , Virtual, Online. pp. 105-110., 2022 (183902). ISSN 2767-7087 ISBN 978-166546099-6 (Published) https://doi.org/10.1109/ICICoS56336.2022.9930608 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T201 Patents. Trademarks TA Engineering (General). Civil engineering (General) Zuriani, Mustaffa Nur Alia Shahira, Mohd Zaidi Ernawan, Ferda Elhadi, Haithm Hakim, Muhammad Malik Personality predictive analysis based on artificial neural network |
| title | Personality predictive analysis based on artificial neural network |
| title_full | Personality predictive analysis based on artificial neural network |
| title_fullStr | Personality predictive analysis based on artificial neural network |
| title_full_unstemmed | Personality predictive analysis based on artificial neural network |
| title_short | Personality predictive analysis based on artificial neural network |
| title_sort | personality predictive analysis based on artificial neural network |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T201 Patents. Trademarks TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/39336/ http://umpir.ump.edu.my/id/eprint/39336/ http://umpir.ump.edu.my/id/eprint/39336/1/Personality%20predictive%20analysis%20based%20on%20artificial%20neural%20network.pdf http://umpir.ump.edu.my/id/eprint/39336/2/Personality%20predictive%20analysis%20based%20on%20artificial%20neural%20network_ABS.pdf |