Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling
Since digital technology has had a significant impact on the fashion industry, digital fashion has become a hot topic in today’s society. Currently, research on digital fashion is focused on the transformation of enterprise marketing strategies and the discussion of digital technology. Despite this,...
Main Authors: | Yixin Zou, Ding-Bang Luh, Shizhu Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-12-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.986838/full |
Similar Items
-
Topic modeling and sentiment analysis about Mandalika on social media using the latent Dirichlet allocation method
by: Rifqi Hammad, et al.
Published: (2022-11-01) -
Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation
by: Amreen Batool, et al.
Published: (2024-01-01) -
Evaluasi Topik Tersembunyi Berdasarkan Aspect Extraction menggunakan Pengembangan Latent Dirichlet Allocation
by: Dinda Adimanggala, et al.
Published: (2021-06-01) -
Analisis Sentimen dan Pemodelan Topik Pariwisata Lombok Menggunakan Algoritma Naive Bayes dan Latent Dirichlet Allocation
by: Ni Luh Putu Merawati Putu, et al.
Published: (2021-02-01) -
In touch with fashion : celebrating fashion and lifestyle
Published: (2006)