기획단계 국방 R&D 소요예산 예측을 위한 텍스트 회귀분석 모델
Text Regression Model for Defense R&D Budget Prediction in the Planning Stage
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초록
This study proposes a text regression analysis model to enhance the reliability and accuracy of R&D budget predictions. Using text data from the Defense Force Support System Requirements Document, we introduce a data-driven approach for budget forecasting. This study combines NLP(Natural Language Processing) and machine learning techniques to quantitatively analyze and predict budgets required in the defense R&D sector. This method is expected to strengthen the objectivity of the budget formulation process and enhance the precision of strategic decision-making. Additionally, the methodology presented in this study offers a reliable framework for generating dependable results even in data-constrained environments, providing a critical foundation for the development and practical application of future defense R&D budget prediction models.
Abstract
This study proposes a text regression analysis model to enhance the reliability and accuracy of R&D budget predictions. Using text data from the Defense Force Support System Requirements Document, we introduce a data-driven approach for budget forecasting. This study combines NLP(Natural Language Processing) and machine learning techniques to quantitatively analyze and predict budgets required in the defense R&D sector. This method is expected to strengthen the objectivity of the budget formulation process and enhance the precision of strategic decision-making. Additionally, the methodology presented in this study offers a reliable framework for generating dependable results even in data-constrained environments, providing a critical foundation for the development and practical application of future defense R&D budget prediction models.