In the research, the crawler technology was used to evaluate the Taobao silkie, and product evaluation data is the case object. After word segmentation, naive Bayesian, K-means, and TF-IDF related algorithms were used to complete word frequency statistics, sentiment analysis, and cluster analysis. It was found that the quality of rural specialty products was more recognized by e-commerce customers, but its overall emotional score was slightly lower than that of non-origin products. After summing up the drawbacks of the former, targeted countermeasures and suggestions were proposed.
References
[1]
Wu M.C. ,et al. (2002)Information Poverty Alleviation—Development of E-Commerce Countermeasures in Poor Areas Social Welfare 7, 45-47.
[2]
Nicolaisen and Royce (2001) How Will Agricultural E-Markets Evolve. Agricultural Outlook Forum, United States Department of Agriculture, Washington DC, 22-23.
[3]
Kelles-Viitanen, A. (2005) The Role of ICT in Governing Rural Development. IFAD Workshop on the What Are the Innovation Challenges for Rural Development, Rome, November 2005, 11-14.
[4]
Xie, T.C. and Shi, Z.L. (2016) Rural Electronic Commerce Development Status, Existing Problems and Countermeasures. Modern Economy, 11, 40-44.
[5]
Hong Y. ,et al. (2016)The Restrictive Factors and Promotion Policies of China’s Rural E-Commerce Development Business Economics Research 4, 169-171.
[6]
Li, D. and Fu, Q. (2017) Analysis on the Development of Agricultural Products E-Commerce in Gansu Province. Financial Theory and Teaching, 3, 78-80.
[7]
Wu, W.Q. and Li, Z.X. (2017) Research on Problems and Model Innovation of China’s Fresh Agricultural Products E-Commerce Development. World Agriculture, 6, 213-217.
[8]
Lu X.P. ,et al. (2018)The Problem of Repeated Construction of Rural E-Commerce Service System and Its Countermeasures Journal of Henan University (Social Science Edition) 2, 16-21.
