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Exploitation of Social Network Data for Forecasting Garment Sales
University of Borås, Faculty of Textiles, Engineering and Business.
2019 (English)In: International Journal of Computational Intelligence Systems, ISSN 1875-6891, E-ISSN 1875-6883, Vol. 12, no 2, p. 1423-1435Article in journal (Refereed) Published
Abstract [en]

Growing use of social media such as Twitter, Instagram, Facebook, etc., by consumers leads to the vast repository of consumer generated data. Collecting and exploiting these data has been a great challenge for clothing industry. This paper aims to study the impact of Twitter on garment sales. In this direction, we have collected tweets and sales data for one of the popular apparel brands for 6 months from April 2018 – September 2018. Lexicon Approach was used to classify Tweets by sentence using Naïve Bayes model applying enhanced version of Lexicon dictionary. Sentiments were extracted from consumer tweets, which was used to map the uncertainty in forecasting model. The results from this study indicate that there is a correlation between the apparel sales and consumer tweets for an apparel brand. “Social Media Based Forecasting (SMBF)” is designed which is a fuzzy time series forecasting model to forecast sales using historical sales data and social media data. SMBF was evaluated and its performance was compared with Exponential Forecasting (EF) model. SMBF model outperforms the EF model. The result from this study demonstrated that social media data helps to improve the forecasting of garment sales and this model could be easily integrated to any time series forecasting model.

Place, publisher, year, edition, pages
2019. Vol. 12, no 2, p. 1423-1435
Keywords [en]
Social Media Data, Forecasting, Naïve Bayes, Sentiment analysis, Fuzzy forecasting model
National Category
Computer Engineering
Research subject
Business and IT
Identifiers
URN: urn:nbn:se:hb:diva-22816DOI: 10.2991/ijcis.d.191109.001OAI: oai:DiVA.org:hb-22816DiVA, id: diva2:1393430
Funder
EU, European Research CouncilAvailable from: 2020-02-16 Created: 2020-02-16 Last updated: 2020-03-04Bibliographically approved

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Giri, Chandadevi

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • en-US
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  • sv-SE
  • Other locale
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Output format
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