Abstract National education strategies increasingly function not only as administrative planning instruments but also as economic signaling devices, communicating priorities, institutional credibility, and expected behavioral responses to citizens, firms, and international partners. This study conducts a computational text analysis of Romania’s two flagship policy documents governing adult learning in the 2024–2030 period: the National Strategy for Continuing Adult Education (SNECA) and the National Strategy for Financial Education (SNEF). Using Valence Aware Dictionary and sEntiment Reasoner sentiment analysis and the Gunning Fog readability index, the study evaluates whether these strategies are linguistically aligned with their stated economic and social objectives: increasing adult participation in lifelong learning, improving financial literacy, and supporting Romania’s convergence with European human-capital benchmarks. The study contributes to the economics of education literature by integrating natural language processing tools into policy evaluation, moving beyond outcome indicators toward ex ante institutional communication quality. Results (to be computed empirically) are expected to show a structurally positive but institutionally dense sentiment profile, paired with high readability complexity, reflecting a tension between European alignment and domestic accessibility. The findings have implications for policy effectiveness, labor-market responsiveness, and inclusive growth strategies in emerging European Union economies.
Gavrilut Darie (Wed,) studied this question.