A Japanese LDA model for automatic clustering analysis of semantic verbal fluency tests.

ABSTRACT: In the semantic variant of verbal fluency tests (VFTs), clustering analysis has become popular for examining the semantic structure. While the computational psycholinguistics approach has recently drawn attention to increasing the reproducibility of clustering analysis, such an approach is not available in all languages. To make the computational approach available in the Japanese language, we constructed a Japanese latent Dirichlet allocation (LDA) model. Our LDA model enables researchers and clinicians to objectively quantify the associative relationships of words, thereby making it possible to automatically detect semantic clusters. We conducted the semantic VFT with healthy young Japanese adults to examine the validity of our LDA model. We performed clustering analyses using the comput

SUBMITTER: Yoshihara M 

PROVIDER: S-EPMC12209035 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature