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A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning

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  • Pamuksuz, Utku
  • Yun, Joseph T.
  • Humphreys, Ashlee

Abstract

Tools for analyzing social media text data to gain marketing insight have recently emerged. While a wealth of research has focused on automated human personality assessment, little research has focused on advancing methods for obtaining brand personality from social media content. Brand personality is a nuanced aspect of brands that has a consistent set of traits aside from its functional benefits. In this study, we introduce a novel, automated, and generalizable data analytics approach to extract near real-time estimates of brand personalities in social media networks. This method can be used to track attempts to change brand personality over time, measure brand personality of competitors, and assess congruence in brand personality. Applied to consumer data, firms can assess how consumers perceive brand personality and study the effects of brand–consumer congruence in personality. Our approach develops a novel hybrid machine learning algorithmic design (LDA2Vec), which bypasses often extensive manual coding tasks, thus providing an adaptable and scalable tool that can be used for a range of management studies. Our approach enhances the theoretical understanding of channeled and perceived brand personality as it is represented in social media networks and provides practitioners with the ability to foster branding strategies by using big data resources.

Suggested Citation

  • Pamuksuz, Utku & Yun, Joseph T. & Humphreys, Ashlee, 2021. "A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 55-69.
  • Handle: RePEc:eee:joinma:v:56:y:2021:i:c:p:55-69
    DOI: 10.1016/j.intmar.2021.05.001
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    References listed on IDEAS

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    1. Ashlee Humphreys & Rebecca Jen-Hui Wang & Eileen FischerEditor & Linda PriceAssociate Editor, 2018. "Automated Text Analysis for Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1274-1306.
    2. Fournier, Susan, 1998. "Consumers and Their Brands: Developing Relationship Theory in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(4), pages 343-373, March.
    3. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    4. Kevin Lane Keller & Donald R. Lehmann, 2006. "Brands and Branding: Research Findings and Future Priorities," Marketing Science, INFORMS, vol. 25(6), pages 740-759, 11-12.
    5. Bruno J.D. Jacobs & Bas Donkers & Dennis Fok, 2016. "Model-Based Purchase Predictions for Large Assortments," Marketing Science, INFORMS, vol. 35(3), pages 389-404, May.
    6. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    7. Sirgy, M Joseph, 1982. "Self-Concept in Consumer Behavior: A Critical Review," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 287-300, December.
    8. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    9. Ranfagni, Silvia & Crawford Camiciottoli, Belinda & Faraoni, Monica, 2016. "How to Measure Alignment in Perceptions of Brand Personality Within Online Communities: Interdisciplinary Insights," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 70-85.
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    Cited by:

    1. Gilal Faheem Gul & Memon Amjad Ali & Gilal Naeem Gul & Gilal Rukhsana Gul & Memon Ahsan Ali, 2022. "Enhancing Service Brand Passion Through Self-Congruity: The Moderating Role of Gender and Age," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(1), pages 83-102, June.
    2. Mingyang Zhang & Heyan Xu & Ning Ma & Xinglin Pan, 2022. "Intelligent Vehicle Sales Prediction Based on Online Public Opinion and Online Search Index," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    3. Gilal Faheem Gul & Memon Amjad Ali & Gilal Naeem Gul & Gilal Rukhsana Gul & Memon Ahsan Ali, 2022. "Enhancing Service Brand Passion Through Self-Congruity: The Moderating Role of Gender and Age," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(2), pages 83-102, June.

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