Examining Women’s E-Commerce Clothing Reviews
Abstract
Due to the outbreak of the epidemic in recent years, the development of e-commerce has led to a golden age. However, since customers can't personally articulate their product dissatisfaction or satisfaction to the store, the review section has become a place where customers often discuss or share reviews that help other new customers understand the true condition of each store's products. And e-commerce product reviews are emotionally featured, from which we can extract key emotionally featured words to drive customers' attitudes toward the product. In this study, we will use the Vader function to extract keywords, and then the use polarity score to judge women customers' recommendation index for women's clothing e-commerce platform, and analyze which aspects are the most important for e-commerce store owners to pay attention to and improve in order to convert the bad reviews
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Chang Qianhui. (2011). Research on Internet Marketing Strategy of Brand Women's Clothing C2C Online Store (Master's thesis, Southwestern University of Finance and Economics).
Chen Junjie. (2020). Research on aspect-level sentiment analysis method based on graph convolutional network (Doctoral dissertation, Inner Mongolia University).
Dai Fuwen, Ding Zhenhua, Wang Shaomin, Zhang Lei, Shen Yan There is a long way to go to protect the quality and rights of clothing in online shopping--Based on the survey report on the quality of Wanquan clothing, "China Fiber Inspection", February 2018
Dong Qian, & Zhang Haihong. (2020). The influence of splicing of different materials on the innovative design of women's sweaters. Wool Textile Journal, 48(5).
Du Peng, Lu Yiqing, & Han Changfeng. (2021). Sentiment Analysis of Product Reviews Based on Transformer Model. Chinese Journal of Information Science, 35(2), 125-132.
Fang Yuan, Yang Kaiwen, & Li Pei. (2022). Research on Influencing Factors of Mobile Terminal Clothing Purchase Behavior——Consumer Perception from Multiple Perspectives. Modern Textile Technology, 30(3), 216.
HADJU, S. F. N., & JAYADI, R. (2021). SENTIMENT ANALYSIS OF INDONESIAN E- COMMERCE PRODUCT REVIEWS USING SUPPORT VECTOR MACHINE BASED TERM FREQUENCY INVERSE DOCUMENT FREQUENCY. Journal of Theoretical and Applied Information Technology, 99(17).
Heimerl, F., Lohmann, S., Lange, S., & Ertl, T. (2014). Word Cloud Explorer: Text Analytics Based on Word Clouds. 2014 47th Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2014.231
https://articles.e-works.net.cn/eb/article144576.htm
Li Li, & Pu Haiyan. (2020). Application of clothing specification sheets in online shopping clothing. Western Leather.
Liang Yanqiu. (2020). Text sentiment analysis for e-commerce review data (Master's thesis, Xiangtan University).
Liu An. (2021). The Development Potential of Slow Fashion in the Transformation and Upgrading of Guangdong Garment Industry. Wool Textile Journal, 49(5).
MARLA, S. (2021). SENTIMENT ANALYSIS OF CUSTOMER FEEDBACK ON APPAREL AND COSMETICS PURCHASE IN E-COMMERCE: A TAKE ON CUSTOMER SATISFACTION. INFORMATION TECHNOLOGY IN INDUSTRY, 9(1), 786–794.https://doi.org/10.17762/itii.v9i1.199
Nie Lizhen, A Preliminary Study on the Establishment of Quality Supervision Mechanism for Online Clothing Products "China Fiber Inspection", February 2018 [3] Chen Huixing, Jiang Lei, Wang Baolu The Influence of Online Clothing Display and Online Clothing Risk Perception "Journal of Beijing Institute of Fashion Technology" 2010
Parveen, N., Santhi, M., Ramani Burra, L., Pellakuri, V., & Pellakuri, H. (2021). WITHDRAWN: Women’s e-commerce clothing sentiment analysis by probabilistic model LDA using R- SPARK. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.10.064
Peng Jing. (2021). Analysis of the development status and marketing strategy of clothing e- commerce under the background of webcasting. Footwear technology and design.
Peng Mingwei, Huang Xiao, Huang Hanyao, & Cai Baixue. (2021). Discussion on Supervision and Sampling Method of Textile and Garment Products on E-commerce Platform. Light Industry Standards and Quality.
Problems and countermeasures in the development of e-commerce in the clothing industry_E- commerce_Management Informationization_Article_e-works Digital Enterprise Network.
Sari, P. K., Alamsyah, A., & Wibowo, S. (2018, March). Measuring e-Commerce service quality from online customer review using sentiment analysis. In Journal of Physics: Conference Series (Vol. 971, No. 1, p. 012053). IOP Publishing.
Streefkerk, R. (2022, November 24). Qualitative vs. Quantitative Research | Differences, Examples & Methods. Scribbr. https://www.scribbr.com/methodology/qualitative-quantitative- research/
Tian Guang, & Liu Yu. (2021). The impact of cultural factors on cross-border e-commerce along the “Belt and Road”. Social Science Series, 3, 95-104.
Xia Meng, & He Rongliang. (2018). A Comparative Study on the Implementation of Online Store Marketing Strategies of E-commerce Platform Luggage Industry Enterprises—Taking Four Enterprise Stores as Examples. Social Science and Management Volume 2, Issue 2, July- December 2018 , 2(2), 124.
Xiao Ping, Zhang Zhaohua, Qin Wangjie, & Fan Jiayi. (2019). The influence of online shopping clothing product attributes on customer fit satisfaction. Journal of Textile Science, 40(06), 91- 96.
Xu Yaoyao. (2020). Intelligence Research Based on Text Mining of Clothing Online Shopping Reviews (Master's thesis, Zhejiang Sci-Tech University).
Zhang Xiaodong. (2019). The impact of cross-border e-commerce consumers' participation in value co-creation on brand preference. JOURNAL OF BUSINESS ECONOMICS.
Zhao Rongxiang, Yue Yichao, Liu Siqi, Zheng Lintao, & Yang Jin. (2019). Modeling and forecasting of online women's clothing sales on e-commerce platforms. Statistics and Application, 8, 404.
Zhao Tian. (2018). Application and Research of Big Data Technology in China's Garment Industry. Collection, 5.
Published
2023-03-01
How to Cite
MOHAMED ZAINAL, Siti Rohaida; XIANG, Chen.
Examining Women’s E-Commerce Clothing Reviews.
International Journal of Business and Technology Management, [S.l.], v. 5, n. 1, p. 22-38, mar. 2023.
ISSN 2682-7646.
Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/21637>. Date accessed: 03 oct. 2023.
Section
Articles
