Skip to main navigation Skip to search Skip to main content

Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Fingerprint

Dive into the research topics of 'Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling'. Together they form a unique fingerprint.
Sort by

Social Sciences

Agricultural and Biological Sciences