ABSTRACT
Online purchasing has become a new front in the conflict between agricultural products with the Internet's rapid expansion. Besides the cost saving because of no physical store, the adoption of Internet marketing is an inevitable trend. The development of several marketing strategies and physical channels has also changed traditional customers' purchasing habits. As user-generated information with analytical value grows rapidly, so does the percentage of unstructured data in the enormous data set. By mining unknown and hidden data of customer opinions, enterprises can gain valuable feedback and keep track of the benefits or drawbacks of products. Unstructured text mining technology is used for analysis in order to understand the factors that affect the evaluation of online shopping for rural fruits and vegetables. In order to achieve the sustainable development of agricultural products, this study examines the hidden issues buried beneath the heat of the rural revitalization plan using the unique fruit of the Maoming region, Shatangju, as the research object.
- Wei Y., Li B. G., Yuan M. 2020. Strategies for high-quality development of rural tourism in Henan province under the strategy of rural revitalization. Hubei Agricultural Sciences. 59(24): 226-229. https://doi.org/10.14088/j.cnkissn0439-8114.2020.24.049Google Scholar
- CNNIC 2021. The 47st China statistical report on Internet development. Retrieved March 20, 2021 from:// http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202102/t20210203_71361.htmGoogle Scholar
- Godes, D., Mayzin Dina. 2004. Using online conversations to study word of mouth communication. Marketing Science. 23(4): 545-560. https://doi.org/10.1287/MKSC.1040.0071Google ScholarCross Ref
- Chen Y. and J. Xie. Online consumer review: Word-of-mouth as a new element of marketing communications mix. Management Science. 2008, 54(3): 477-491. https://doi.org/10.1287/mnsc.1070.0810Google ScholarDigital Library
- Li S., Zhang Z. Liu, Y. Y. 2022. Research on tourism satisfaction of western cities based on text mining: taking Crip Xi'an and Chengdu as examples. Science Technology and Industry. 22(4): 326-333.Google Scholar
- Tang, C. and Guo, L. 2015. Digging for gold with a simple tool: Validating text mining in studying electronic word-of-mouth (Ewom) Communication. Marketing Letter, 26(1), 67-80. https://doi.org/10.1007/s11002-013-9268-8Google ScholarCross Ref
- Chung, J. M., Lee, W. P., Wu, T. M. 2007. Forecasting intra-day stock price trends with text mining techniques. Web Journal of Chinese Management Review, 10(1), 1-30.Google Scholar
- Lin, M. L., Chang, H. W., Zhang, Z. Z. 2019. An exploratory study on destination image using text mining techniques: A case study of universal studios Japan. Tamsui Oxford Journal of Tourism, 15, 35-49. https://doi.org/10.6438/TOJT.201906_(15).0003Google Scholar
- Nasiru, I. A., Musbau D. A, Fatimah, O. A., Tosho, A. 2020. Analysis of cyber bullying on Facebook using text mining. Journal of Applied Artificial Intelligence, 1(1), 1-12. https://doi.org/10.48185/jaai.v1i1.30Google ScholarCross Ref
- Blei, D. M., Ng, A. Y., Jordan, M. I. 2003. Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.Google ScholarDigital Library
- Ni, J. J., Wang, L. Y., Lin, M. Y. 2020. A comparative analysis of the online reviews from online booking platforms in hospitality industry – evidence of Agoda and Airbnb. Journal of Tourism and Leisure Studies, 26(3), 259-282. https://doi.org/10.6267/JTLS.202012_26(3).0002Google Scholar
- Yu, C. P., Shih, C. M., Kuo Hung, K. H. 2019. Applying text mining techniques to sexual issues on PTT Feminine_sex. Studies in Sexuality, 9(2): 63-89. https://doi.org/10.6206/SIS.201901_9(2).0004Google Scholar
- Yu, F. 2022. Sentiment analysis of new energy car users based on text mining. Logistics Engineering and Management, 44(1): 137-140. https://doi.org/10.3969/j.issn.1674-4993.2022.01.038Google Scholar
Recommendations
Empirical Analysis of Factors Influencing Consumers' Satisfaction in Online Shopping Agricultural Products in China
With the development of e-commerce, online shopping for agricultural products has been more popular. And how to improve consumer's satisfaction has become more important. Literature review shows that few researches on online purchasing agricultural food ...
Impact of demographics on online buying behaviour towards different products
This paper aims to identify the impact of demographics on consumer buying behaviour towards online purchase of different products based on the involvement and investment (High, Medium and Low). It attempts to unearth the impact of the demographics on ...
Online Shopping Behavior: A Study of Factors Influencing Consumer Satisfaction on Online viz-a-viz Conventional Store Shopping
Online shopping is a recent phenomenon in the field of E-Business with promising results indicating revolutionary change in shopping in the world. Accessibility and convenience are the key drivers for a major shift to online shopping. Due to ever ...
Comments