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Using Topic Modeling for Extracting Customers’ Expectations: A Case of Women Apparel

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  • Himanshu Sharma

Abstract

Increased internet usage has fueled significant growth in online retailing. The textile business has benefited in all countries thanks to the surge in online sales. Women’s fashion is having a huge impact on the world stage as women are the most concerned about what they wear and also new attractive clothes are released regularly. Electronic word of mouth (EWOM) is considered to be an important source of information and helps potential customers in purchasing decision-making. This study attempts to gather in-depth information about the women’s apparel sector by mining these EWOMs. Topic modeling through latent Dirichlet allocation (LDA) is utilized here for extracting the key aspects about which the customers chat in their reviews that are posted online. A total of 23,486 reviews were accessed on which the LDA technique was applied after preprocessing the data for potential cleaning. LDA technique resulted in six topics, namely, aesthetic, functionality, expressive, performance, extrinsic, and return policy. These are the aspects that the customers mention while commenting about their shopping experience. The findings of this study provide the key aspects that customers expect while purchasing women’s apparel online. The study discusses some implications for online marketers that may help them achieve a competitive edge.

Suggested Citation

  • Himanshu Sharma, 2025. "Using Topic Modeling for Extracting Customers’ Expectations: A Case of Women Apparel," Business Perspectives and Research, , vol. 13(3), pages 454-466, July.
    • Handle: RePEc:sae:busper:v:13:y:2025:i:3:p:454-466
    DOI: 10.1177/22785337221150831
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    References listed on IDEAS

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    1. Himanshu Sharma & Anu G. Aggarwal, 2019. "Finding determinants of e-commerce success: a PLS-SEM approach," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 453-471, March.
    2. Chen, Xiayu & Huang, Qian & Davison, Robert M., 2017. "The role of website quality and social capital in building buyers’ loyalty," International Journal of Information Management, Elsevier, vol. 37(1), pages 1563-1574.
    3. Himanshu Sharma & Anu G. Aggarwal, 2019. "Finding determinants of e-commerce success: a PLS-SEM approach," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 453-471, March.
    4. Yang Liu & Jian-Wu Bi & Zhi-Ping Fan, 2017. "A Method for Ranking Products Through Online Reviews Based on Sentiment Classification and Interval-Valued Intuitionistic Fuzzy TOPSIS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1497-1522, November.
    5. Karl Markos Biswas & Mohammed Nusari & Abhijit Ghosh, 2019. "The Influence of Website Service Quality on Customer Satisfaction Towards Online Shopping: The Mediating Role of Confirmation of Expectation," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 5(6), pages 7-14, September.
    6. Himanshu Sharma & Abhishek Tandon & P. K. Kapur & Anu G. Aggarwal, 2019. "Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 973-983, October.
    7. Duarte, Paulo & Costa e Silva, Susana & Ferreira, Margarida Bernardo, 2018. "How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 161-169.
    8. Urvashi Tandon & Ravi Kiran & Ash N. Sah, 2017. "Customer Satisfaction as Mediator Between Website Service Quality and Repurchase Intention: An Emerging Economy Case," Service Science, INFORMS, vol. 9(2), pages 106-120, June.
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