Linear Transformation Algorithm for Semantic Space Mapping

This paper presents Algorithm 1, which leverages the principles of linear transformation to map words from their original semantic space to a stereotypical semantic domain. Algorithm 1 provides a detailed pseudocode outlining the process of transposing a term from its primary to a stereotypical semantic domain. This approach aligns with the tenets of linear transformation, enabling a systematic and computationally efficient method for semantic space mapping.