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                                     %uc815%ubd80%ub2f4%ub860%uc744 %ud1b5%ud574 %ubcf8 %uccad%ub834%uff65%ubc18%ubd80%ud328 %uc815%ucc45%uc758 %ubcc0%ud654%uc640 %uc0ac%ud68c %uc778%uc2dd Anti-Corruption and Civil Rights Commission 101anti-corruption rhetoric centered on institutional reform in the early stage, to value-based narratives of integrity, followed by a phase of institutional expansion, and most recently, a shift toward digital-based evaluation and implementation. Core keywords transitioned from %u201ccorruption%u201d and %u201cinstitution%u201d to %u201ctransparency,%u201d %u201cpublic participation,%u201d %u201ceducation,%u201d and %u201cdigital administration.%u201d Sentiment analysis showed consistent prevalence of positive sentiment, represented by terms such as %u201cimprovement,%u201d %u201cexpectation,%u201d %u201ctrust,%u201d and %u201cinnovation,%u201d though negative terms like %u201cdifficulty,%u201d %u201cburden,%u201d and %u201cobstacle%u201d reflected ongoing challenges in policy execution.This study contributes to academic discourse by introducing an integrated empirical model for analyzing long-term policy texts. It also provides practical and policy-level implications for designing integrity policies that are adaptive to field conditions, sentiment-sensitive, and future-oriented through digital transformation.%u2759 Key word Integrity, Anti-Corruption, Policy Briefing, Text Mining, Discourse Change, Topic Modeling
                                
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