Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model
HRMS is a very critical tool for companies. The recruitment text contains rich information that can provide strong information support for the company’s recruitment work and also improve the efficiency of job seekers in finding job opportunities. To this end, for the problem of multilabel text class...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/4094704 |
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| _version_ | 1832564514932916224 |
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| author | Chan Sun Xiaojuan Li |
| author_facet | Chan Sun Xiaojuan Li |
| author_sort | Chan Sun |
| collection | DOAJ |
| description | HRMS is a very critical tool for companies. The recruitment text contains rich information that can provide strong information support for the company’s recruitment work and also improve the efficiency of job seekers in finding job opportunities. To this end, for the problem of multilabel text classification of recruitment information, this paper provides two algorithms for multilayer classification based on supported SVM. First, the same learning subclass method is used for text sorting subclass acquisition, and then, the class of the text is determined. Second, the hemispherical support SVM is used to find the smallest hypersphere in the feature space that contains the most text of that class and segment the text of that class from other texts. For the text to be classified, the distance from it to the center of each hypersphere is used to determine the class of the text. Experimental results on recruitment data demonstrate that the algorithm in this paper has a high check-all rate, check-accuracy rate, and F1. And, the relationship between HRM activities and corporate performance is discussed. |
| format | Article |
| id | doaj-art-fdfd63be5e6b4ba4b24270ad8888a1b4 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-fdfd63be5e6b4ba4b24270ad8888a1b42025-02-03T01:10:53ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/4094704Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning ModelChan Sun0Xiaojuan Li1School of BusinessSchool of Business AdministrationHRMS is a very critical tool for companies. The recruitment text contains rich information that can provide strong information support for the company’s recruitment work and also improve the efficiency of job seekers in finding job opportunities. To this end, for the problem of multilabel text classification of recruitment information, this paper provides two algorithms for multilayer classification based on supported SVM. First, the same learning subclass method is used for text sorting subclass acquisition, and then, the class of the text is determined. Second, the hemispherical support SVM is used to find the smallest hypersphere in the feature space that contains the most text of that class and segment the text of that class from other texts. For the text to be classified, the distance from it to the center of each hypersphere is used to determine the class of the text. Experimental results on recruitment data demonstrate that the algorithm in this paper has a high check-all rate, check-accuracy rate, and F1. And, the relationship between HRM activities and corporate performance is discussed.http://dx.doi.org/10.1155/2021/4094704 |
| spellingShingle | Chan Sun Xiaojuan Li Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model Discrete Dynamics in Nature and Society |
| title | Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model |
| title_full | Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model |
| title_fullStr | Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model |
| title_full_unstemmed | Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model |
| title_short | Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model |
| title_sort | research on the relationship between human resource management activities and enterprise performance based on the supervised learning model |
| url | http://dx.doi.org/10.1155/2021/4094704 |
| work_keys_str_mv | AT chansun researchontherelationshipbetweenhumanresourcemanagementactivitiesandenterpriseperformancebasedonthesupervisedlearningmodel AT xiaojuanli researchontherelationshipbetweenhumanresourcemanagementactivitiesandenterpriseperformancebasedonthesupervisedlearningmodel |