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The following are the conclusions:
First, key performance metrics such as silhouette and coherence scores highlighted the importance of parameter optimization in LDA, particularly its ability to define distinct topic clusters;
And second, the involvement of domain experts in assigning labels to the generated LDA models has been instrumental in uncovering key insights for enhancing the UAQTE program. Their domain-specific knowledge guided the interpretation of themes such as "Academic Difficulties," "Financial Difficulties," "Grant Disbursement," "Pandemic-Related Challenges," and "Program Implementation."
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