Article: Student career guidance using sentiment analysis and decision tree models Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.38 pp.1 - 21 Abstract: Accurately analysing college students' career trends and offering individualised advice has become a significant difficulty to raise the quality of employment as the number of graduates keeps increasing and the employment scenario gets more and more complicated. Conventional career advice largely depends on one data source, so it produces inadequate career planning. This paper suggests SADTM-CIAG, a model for analysing and guiding college students' career inclination based on the combination of sentiment analysis and decision tree (DT), which is combined with personalised counselling strategies to give students scientific and reasonable career development advice, in order to solve this problem. This work designs two technical performance verification experiments and one application effect verification experiment to evaluate the efficacy of SADTM-CIAG in real-world career advising. According to the experimental data, the model has great application value and shows notable advantages in many respects. Inderscience Publishers - linking academia, business and industry through research

Title: Student career guidance using sentiment analysis and decision tree models

Authors: Yang Liu; Hengxing Kou

Addresses: School of Innovation and Entrepreneurship, Nantong Institute of Technology, Nantong 226001, China ' School of Innovation and Entrepreneurship, Nantong Institute of Technology, Nantong 226001, China

Abstract: Accurately analysing college students' career trends and offering individualised advice has become a significant difficulty to raise the quality of employment as the number of graduates keeps increasing and the employment scenario gets more and more complicated. Conventional career advice largely depends on one data source, so it produces inadequate career planning. This paper suggests SADTM-CIAG, a model for analysing and guiding college students' career inclination based on the combination of sentiment analysis and decision tree (DT), which is combined with personalised counselling strategies to give students scientific and reasonable career development advice, in order to solve this problem. This work designs two technical performance verification experiments and one application effect verification experiment to evaluate the efficacy of SADTM-CIAG in real-world career advising. According to the experimental data, the model has great application value and shows notable advantages in many respects.

Keywords: sentiment analysis; decision tree; DT; prediction of career inclination; personalised guidance.

DOI: 10.1504/IJICT.2025.149290

International Journal of Information and Communication Technology, 2025 Vol.26 No.38, pp.1 - 21

Received: 30 Jun 2025
Accepted: 23 Jul 2025
Published online: 22 Oct 2025 *

Title: Student career guidance using sentiment analysis and decision tree models

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