A Study on User Perception of Wuliangye and Tuopai Tmall Flagship Stores Based on UGC

ISSN:3029 2360

EISSN:3029-2344

语言:英文

作者
Yi Zhang,Ping Tang
文章摘要
The data was sourced from customer reviews of four products each from Wuliangye and Tuopai, totaling 445 comments after data cleaning. Sentiment analysis indicated that positive emotions dominate for both brands, with Wuliangye receiving more intense positive sentiments, suggesting a stronger emotional attachment among consumers. Semantic network analysis for Wuliangye highlighted the brand's emphasis on quality, taste, and packaging, positioning it as a suitable gift for social occasions. For Tuopai, the analysis underscored the brand's focus on product quality, appealing packaging, and suitability as a gift, with a strong association with festive occasions. Both brands received positive feedback on their logistics services, enhancing consumer trust and loyalty. The study concludes that while both Wuliangye and Tuopai are recognized positively, Wuliangye has a slight edge in evoking stronger positive emotions, potentially due to its brand image and product quality. The research suggests that enhancing brand image and product characteristics could further improve consumer satisfaction and loyalty for Tuopai.
文章关键词
UGC; Sichuan Baijiu; Wuliangye; Tuopai; Sentiment Analysis
参考文献
[1] Uchida Y,Yoshikawa T,Furuhashi T,et al.A Proposal of Text Mapping Method to Analyze Web User Reviews[C]//Fuzzy System Symposium.Japan Society for Fuzzy Theory and Intelligent Informatics,2008. [2] Julien C A,Leide J E,Bouthillier F.Controlled user evaluations of information visualization interfaces for text retrieval:Literature review and meta-analysis[J].Journal of the American Society for Information Science and Technology,2008,59(6). [3] Rodriguez M A.General-Purpose Computing on a Semantic Network Substrate[J].Computer Science,2007:57-102. [4] Lin,Hao-Chiang KoongWang,Tao-HuaLin,Guo-ChungCheng,Shu-ChenChen,Hong-RenHuang,Yueh-Min. Applying sentiment analysis to automatically classify consumer comments concerning marketing 4Cs aspects[J].Applied Soft Computing,2020,97(Pta1). [5] C.N.V.B.R.Sri Gowrinath,Hari C V M K,Reddy P G V D P.Evaluating Frequency of words and Word Cloud from Astrological sentiments using NLP[J].Technoscience Academy,2021(3).DOI:10.32628/IJSRST2183196. [6] Hui Y,David G,Andrew J E G,et al.Brands,Branding and Regional Cluster Development:The Emerging Economic Geographies of the Chinese Baijiu Industry[J].Global Urban Studies,2022,3(2):97-120. [7] Xin H E,Hongmei Z,Finance S O.Brand Marketing Strategy of Baijiu in the Era of Big Data[J].Liquor-Making Science&Technology,2018.
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