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: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.986838/full |
| _version_ | 1797975811024748544 |
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| author | Yixin Zou Ding-Bang Luh Shizhu Lu |
| author_facet | Yixin Zou Ding-Bang Luh Shizhu Lu |
| author_sort | Yixin Zou |
| collection | DOAJ |
| description | 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, the current study does not include an analysis of the audience’s emotional and cognitive responses to digital fashion on social networking platforms. A comprehensive analysis and discussion of 52,891 posts about digital fashion and virtual fashion published on social networking sites was conducted using k-means clustering analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis in this study. The study examines the public’s perception and hot topics about digital fashion, as well as the industry’s development situation and trends. According to the findings, both positive and neutral emotions accompany the public’s attitude toward digital fashion. There is a wide range of topics covered in the discussion. Innovations in digital technology have impacted the creation of jobs, talent demand, marketing strategies, profit forms, and industrial chain innovation of fashion-related businesses. Researchers in related fields will find this study useful not only as a reference for research methods and directions, but also as a source of references for research methodology. A case study and data reference will also be provided to industry practitioners. |
| first_indexed | 2024-04-11T04:41:22Z |
| format | Article |
| id | doaj.art-7c643345b17b4047a22900b01084900a |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-11T04:41:22Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-7c643345b17b4047a22900b01084900a2022-12-28T04:49:01ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-12-011310.3389/fpsyg.2022.986838986838Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modelingYixin ZouDing-Bang LuhShizhu LuSince 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, the current study does not include an analysis of the audience’s emotional and cognitive responses to digital fashion on social networking platforms. A comprehensive analysis and discussion of 52,891 posts about digital fashion and virtual fashion published on social networking sites was conducted using k-means clustering analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis in this study. The study examines the public’s perception and hot topics about digital fashion, as well as the industry’s development situation and trends. According to the findings, both positive and neutral emotions accompany the public’s attitude toward digital fashion. There is a wide range of topics covered in the discussion. Innovations in digital technology have impacted the creation of jobs, talent demand, marketing strategies, profit forms, and industrial chain innovation of fashion-related businesses. Researchers in related fields will find this study useful not only as a reference for research methods and directions, but also as a source of references for research methodology. A case study and data reference will also be provided to industry practitioners.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.986838/fulldigital fashionNFTsentiment analysis(LDA) topic modelingvirtual fashionpublic perceptions |
| spellingShingle | Yixin Zou Ding-Bang Luh Shizhu Lu Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling Frontiers in Psychology digital fashion NFT sentiment analysis (LDA) topic modeling virtual fashion public perceptions |
| title | Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling |
| title_full | Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling |
| title_fullStr | Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling |
| title_full_unstemmed | Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling |
| title_short | Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling |
| title_sort | public perceptions of digital fashion an analysis of sentiment and latent dirichlet allocation topic modeling |
| topic | digital fashion NFT sentiment analysis (LDA) topic modeling virtual fashion public perceptions |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.986838/full |
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