Table 2 Text mining approaches for analyzing career satisfaction and well-being.

Okoye et al.²⁵

Develop a model for analyzing student evaluations of teaching using text mining and machine learning

Applied text mining and machine learning classification on student evaluation data

Identified key factors affecting teaching quality and student satisfaction

Improved understanding of student feedback; facilitated targeted improvements in teaching

Limited to student evaluations may not account for other educational metrics

Future studies could incorporate a broader range of metrics to assess teaching effectiveness

Elsamani et al.²⁶

Explore the relationship between employee well-being and innovativeness

Used citation network analysis and data mining techniques

Developed a framework highlighting the multi-level impact of well-being on innovativeness

Comprehensive multi-level framework linking well-being and innovation

Requires more empirical validation across different sectors

Further research could validate the framework in varied organizational settings

Dreer²⁷

Analyze the role of positive emotions in teacher well-being and job satisfaction

Conducted a survey-based study to assess teachers’ emotions and job satisfaction levels

Positive emotions significantly improve job satisfaction and overall well-being

Highlights importance of emotional factors in teacher job satisfaction

Limited to self-reported data, which may be biased

Future studies could use longitudinal data to assess emotional impact over time

Ortan et al.²⁸

Examine the effects of self-efficacy and job satisfaction on teacher well-being in K-12 education

Employed self-efficacy and satisfaction scales in a quantitative study

Found that higher self-efficacy and job satisfaction improve teacher well-being

Provides insights into teacher well-being factors within K-12 systems

Limited focus on other possible well-being influences

Future research could explore additional factors affecting teacher well-being

Fute et al.²⁹

Investigate how work values influence job satisfaction among Chinese teachers during COVID-19

Utilized mediation analysis to evaluate work engagement’s role

Work engagement mediates the relationship between work values and job satisfaction

Demonstrates the role of engagement in sustaining job satisfaction during crises

The study focused on Chinese teachers; results may not generalize globally

Further studies could analyze work value impacts across different cultures

Khahro et al.³⁰

Develop an integrated model to improve job satisfaction in the construction industry

Proposed a model combining job satisfaction factors in sustainable construction

Identified key predictors of job satisfaction in construction environments

Supports sustainable practices within the construction industry

Focuses primarily on construction, limiting applicability to other industries

Future studies could generalize the model to other sectors to assess broader relevance