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Using Text Mining to Evaluation for Online Shopping Rural Fruits and Vegetables

Published:03 January 2023Publication History

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.

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  • Published in

    cover image ACM Other conferences
    ICCIP '22: Proceedings of the 8th International Conference on Communication and Information Processing
    November 2022
    219 pages
    ISBN:9781450397100
    DOI:10.1145/3571662

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    Publication History

    • Published: 3 January 2023

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    ICCIP '22 Paper Acceptance Rate61of301submissions,20%Overall Acceptance Rate61of301submissions,20%
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