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- W4313463871 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." @default.
- W4313463871 created "2023-01-06" @default.
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- W4313463871 date "2022-11-03" @default.
- W4313463871 modified "2023-09-30" @default.
- W4313463871 title "Using Text Mining to Evaluation for Online Shopping Rural Fruits and Vegetables" @default.
- W4313463871 cites W1880262756 @default.
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- W4313463871 doi "https://doi.org/10.1145/3571662.3571671" @default.
- W4313463871 hasPublicationYear "2022" @default.
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