Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing
Safety is critical for autonomous vehicle, therefore quality management system method is crucial for the risks that may impact human beings. Quality management system help identify customer requirements and finally meet them. Customer requirements also include other aspects that customers or stakeho...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31765/1/Paper4_Han.pdf |
| _version_ | 1796994672862691328 |
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| author | Wang, Hoa Asrul, Adam Han, Fengrong |
| author_facet | Wang, Hoa Asrul, Adam Han, Fengrong |
| author_sort | Wang, Hoa |
| collection | UMP |
| description | Safety is critical for autonomous vehicle, therefore quality management system method is crucial for the risks that may impact human beings. Quality management system help identify customer requirements and finally meet them. Customer requirements also include other aspects that customers or stakeholders are most concerned. Although many researches on customer perception had been done, they do not include all aspect of the requirements toward autonomous vehicle. Furthermore, they are most in text format or will be transfer to text format that convenient to store and read. In front of the large amount text data, classifying them become time and costs consuming. The customer requirements on autonomous vehicle are summarized and allocated in different categories. The natural language processing method is applied in this paper. This method shows its efficiency on dealing with customer requirements. The results provide valuable reference for autonomous vehicle developer and top managemen |
| first_indexed | 2024-03-06T12:51:09Z |
| format | Article |
| id | UMPir31765 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:51:09Z |
| publishDate | 2020 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | UMPir317652021-08-04T09:12:21Z http://umpir.ump.edu.my/id/eprint/31765/ Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing Wang, Hoa Asrul, Adam Han, Fengrong TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Safety is critical for autonomous vehicle, therefore quality management system method is crucial for the risks that may impact human beings. Quality management system help identify customer requirements and finally meet them. Customer requirements also include other aspects that customers or stakeholders are most concerned. Although many researches on customer perception had been done, they do not include all aspect of the requirements toward autonomous vehicle. Furthermore, they are most in text format or will be transfer to text format that convenient to store and read. In front of the large amount text data, classifying them become time and costs consuming. The customer requirements on autonomous vehicle are summarized and allocated in different categories. The natural language processing method is applied in this paper. This method shows its efficiency on dealing with customer requirements. The results provide valuable reference for autonomous vehicle developer and top managemen Elsevier 2020-11-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31765/1/Paper4_Han.pdf Wang, Hoa and Asrul, Adam and Han, Fengrong (2020) Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing. International Journal of Computing and Digital Systems, 9 (6). pp. 1213-1219. ISSN 2210-142X. (Published) http://journals.uob.edu.bh http://dx.doi.org/10.12785/ijcds/0906018 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Wang, Hoa Asrul, Adam Han, Fengrong Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| title | Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| title_full | Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| title_fullStr | Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| title_full_unstemmed | Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| title_short | Improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| title_sort | improving efficiency of customer requirements classification on autonomous vehicle by natural language processing |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/31765/1/Paper4_Han.pdf |
| work_keys_str_mv | AT wanghoa improvingefficiencyofcustomerrequirementsclassificationonautonomousvehiclebynaturallanguageprocessing AT asruladam improvingefficiencyofcustomerrequirementsclassificationonautonomousvehiclebynaturallanguageprocessing AT hanfengrong improvingefficiencyofcustomerrequirementsclassificationonautonomousvehiclebynaturallanguageprocessing |