Using the advantage of decision tree algorithm in the screening work, the traditional ID3 algorithm is improved and optimized, and a new and simplified financial index system is constructed. At the same time, combined with the unique value of artificial neural network in early warning model and data analysis, B-P model is used to build a mixed financial early warning model. In the model study, the HFPM model and Z-score model were compared and analyzed by using test samples and training samples, and the superior warning ability of the former was effectively verified.
Live video streaming has become a popular means of merchandising, more and more farmers are trying to use commerce live streaming to sell their agricultural products. This paper uses text mining technology to design a questionnaire, identifies important and potential user groups through K-means clustering, and uses structural equation modeling to verify the structural relationship between the impact of live streaming, anchor, product and service on the satisfaction of farming live streaming users. The results show that: the satisfaction of users on Helping Farmers Live stay at a basic level, there exist enough space to improve it; their loyalty on Helping Farmers Live is still low, and the frequency of repurchase behavior is not high; the easy-to-use groups for Helping Farmers Live are young, middle-income and rural consumers.
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