Cite

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

MLA

Hyojung Kim, et al. “Analyzing Genderless Fashion Trends of Consumers’ Perceptions on Social Media: Using Unstructured Big Data Analysis through Latent Dirichlet Allocation-Based Topic Modeling.” Fashion and Textiles, vol. 9, no. 1, Mar. 2022, pp. 1–21. EBSCOhost, https://doi.org/10.1186/s40691-021-00281-6.



APA

Hyojung Kim, Inho Cho, & Minjung Park. (2022). Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling. Fashion and Textiles, 9(1), 1–21. https://doi.org/10.1186/s40691-021-00281-6



Chicago

Hyojung Kim, Inho Cho, and Minjung Park. 2022. “Analyzing Genderless Fashion Trends of Consumers’ Perceptions on Social Media: Using Unstructured Big Data Analysis through Latent Dirichlet Allocation-Based Topic Modeling.” Fashion and Textiles 9 (1): 1–21. doi:10.1186/s40691-021-00281-6.