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Analysis of consumer emotions about fashion brands: An exploratory study
University of Borås, Faculty of Textiles, Engineering and Business.
2018 (English)In: Proceedings of the 13th International FLINS Conference (FLINS 2018): World Scientific Proceedings Series on Computer Engineering and Information Science / [ed] Jun Liu (Ulster University, UK), Jie Lu (University of Technology Sydney, Australia), Yang Xu (Southwest Jiaotong University, China), Luis Martinez (University of Jaén, Spain) and Etienne E Kerre (University of Ghent, Belgium), 2018, Vol. 11, p. 1567-1574Conference paper, Published paper (Refereed)
Abstract [en]

Fashion products are characterized by high variability in terms of rapidly changing consumer preferences. Consumers express their emotions on social networks such as Twitter, Facebook and Instagram. The main objective of this paper is to explore Twitter data for recognizing customer sentiments about fashion brands and to analyze their overall perception towards the brands. Two brands, Zara and Levis, are considered and users’ tweets related to these brands are analyzed using text mining and Naïve Bayes classifier. The results from this study suggest that social media such as Twitter can serve to be the repository of consumer sentiments and opinions. Sentiment analysis of the tweets can indicate fashion trend and thereby enable fashion brand companies to quickly respond to the ever changing consumer demands.

Place, publisher, year, edition, pages
2018. Vol. 11, p. 1567-1574
Series
World Scientific Proceedings Series on Computer Engineering and Information Science
Keywords [en]
Sentiment analysis, fashion industry, big data, Twitter
National Category
Computer and Information Sciences
Research subject
Business and IT
Identifiers
URN: urn:nbn:se:hb:diva-22821DOI: 10.1142/9789813273238_0195ISBN: 978-981-3273-22-1 (print)ISBN: 978-981-3273-24-5 (print)OAI: oai:DiVA.org:hb-22821DiVA, id: diva2:1393434
Conference
Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), Belfast, Northern Ireland, UK, 21 – 24, August 2018.
Funder
EU, European Research CouncilAvailable from: 2020-02-16 Created: 2020-02-16 Last updated: 2022-09-28Bibliographically approved

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Giri, Chandadevi

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CiteExportLink to record
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Citation style
  • harvard-cite-them-right
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Language
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