Method for extracting kansei adjective of product based on principal component analysis and explanation (PCA-E)

A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E), comprising:

• S1:
• constructing a product kansei evaluation vector matrix;
• S2:
• subjecting the product kansei evaluation vector matrix to dimensionality reduction based on principal components:
• S21:
• zero-centering each row in the product kansei evaluation vector matrix;
• S22:
• obtaining a covariance matrix of the product kansei evaluation vector matrix after the zero-centering;
• S23:
• subjecting the covariance matrix obtained in step S22 to orthogonal decomposition to obtain eigenvalues and eigenvectors of the covariance matrix;
• and
• S24:
• arranging the eigenvalues in a descending order, and extracting the eigenvectors of first f principal components with a cumulative contribution rate greater than a first threshold to form an eigenvector matrix;
• S3:
• obtaining a principal component load factor matrix, and constructing a principal component load factor table;
• and
• S4:
• extracting kansei adjectives representing the principal components according to a kansei adjective extraction strategy.