Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms
Abstract The rapid development of international education in China highlights the growing importance of employment analysis in Teaching Chinese to Speakers of Other Languages (TCSOL). This study explores the enterprise demands for TCSOL professionals using text mining techniques to analyze recruitme...
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| Format: | Article |
| Language: | English |
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Springer Nature
2025-03-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-04596-3 |
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| author | Xingrong Guo Xingjia Wang Yiming Guo |
| author_facet | Xingrong Guo Xingjia Wang Yiming Guo |
| author_sort | Xingrong Guo |
| collection | DOAJ |
| description | Abstract The rapid development of international education in China highlights the growing importance of employment analysis in Teaching Chinese to Speakers of Other Languages (TCSOL). This study explores the enterprise demands for TCSOL professionals using text mining techniques to analyze recruitment data collected from four major platforms: Boss Zhipin, Zhaopin.com, 51job.com, and Liepin.com. Combining descriptive statistics, LDA topic modeling, BERT-BiLSTM-CRF-based named entity recognition, and co-occurrence network analysis were used. Results show that there is a high demand for TCSOL professionals, especially for small-scale enterprises located in first-tier cities such as Beijing, Shanghai, Guangzhou, and Shenzhen. Employers tend to favor candidates with at least a bachelor’s degree and 1–3 years of work experience. The topic model highlighted three central themes in job descriptions, emphasizing a shift toward a more diverse skill set. Named entity recognition identified essential attributes such as “communication ability”, “teaching experience”, “bachelor’s degree or above” and “responsibility” as core recruitment requirements. The co-occurrence network analysis revealed the importance of “teaching” and “priority” as core skill nodes. Time series analysis showed seasonal fluctuations in recruitment demand, peaking during spring recruitment and graduation periods. A hierarchical model of talent demand and development in TCSOL is proposed, integrating the perspectives of employers, job seekers, educators, and policymakers. This study provides valuable insights for aspiring TCSOL professionals, offering guidance to better align talent training with market needs and improve employment prospects. |
| format | Article |
| id | doaj-art-577db0cdb0da4baba8ec1efac851dd20 |
| institution | OA Journals |
| issn | 2662-9992 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj-art-577db0cdb0da4baba8ec1efac851dd202025-08-20T01:57:45ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-03-0112112010.1057/s41599-025-04596-3Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platformsXingrong Guo0Xingjia Wang1Yiming Guo2College of Foreign Languages, Shanghai Maritime UniversityCollege of Foreign Languages, Shanghai Maritime UniversitySchool of Economics and Management, Shanghai Maritime UniversityAbstract The rapid development of international education in China highlights the growing importance of employment analysis in Teaching Chinese to Speakers of Other Languages (TCSOL). This study explores the enterprise demands for TCSOL professionals using text mining techniques to analyze recruitment data collected from four major platforms: Boss Zhipin, Zhaopin.com, 51job.com, and Liepin.com. Combining descriptive statistics, LDA topic modeling, BERT-BiLSTM-CRF-based named entity recognition, and co-occurrence network analysis were used. Results show that there is a high demand for TCSOL professionals, especially for small-scale enterprises located in first-tier cities such as Beijing, Shanghai, Guangzhou, and Shenzhen. Employers tend to favor candidates with at least a bachelor’s degree and 1–3 years of work experience. The topic model highlighted three central themes in job descriptions, emphasizing a shift toward a more diverse skill set. Named entity recognition identified essential attributes such as “communication ability”, “teaching experience”, “bachelor’s degree or above” and “responsibility” as core recruitment requirements. The co-occurrence network analysis revealed the importance of “teaching” and “priority” as core skill nodes. Time series analysis showed seasonal fluctuations in recruitment demand, peaking during spring recruitment and graduation periods. A hierarchical model of talent demand and development in TCSOL is proposed, integrating the perspectives of employers, job seekers, educators, and policymakers. This study provides valuable insights for aspiring TCSOL professionals, offering guidance to better align talent training with market needs and improve employment prospects.https://doi.org/10.1057/s41599-025-04596-3 |
| spellingShingle | Xingrong Guo Xingjia Wang Yiming Guo Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms Humanities & Social Sciences Communications |
| title | Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms |
| title_full | Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms |
| title_fullStr | Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms |
| title_full_unstemmed | Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms |
| title_short | Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms |
| title_sort | professional demand analysis for teaching chinese to speakers of other languages a text mining approach on internet recruitment platforms |
| url | https://doi.org/10.1057/s41599-025-04596-3 |
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