Agricultural product e-commerce big data intelligent acquisition and integration system based on multi-source heterogeneity

Abstract

The invention relates to an agricultural product e-commerce big data intelligent acquisition and integration system based on multi-source heterogeneity, which comprises an agricultural price acquisition subsystem, an agricultural price analysis subsystem and an agricultural price display subsystem, and is characterized in that the agricultural price acquisition subsystem obtains e-commerce multi-source heterogeneity agricultural product data through data mining and data crawler; the agricultural price analysis subsystem adopts an emotion analysis algorithm and a price prediction algorithm to calculate and obtain user emotion information and price change trend information, and the agricultural price display subsystem displays the information through a visual chart. The method has the advantages that market trends are grasped to provide decision basis, the accuracy of prediction results of the agricultural product price trends is improved, users are allowed to freely arrange data boards, and the users are helped to obtain focused information.

Description

Technical field [0001] The present invention relates to the field of computer application technology, in particular to a kind of intelligent collection and integration system based on multi-source heterogeneous agricultural product e-commerce big data. Background [0002] The existing agricultural price data platform has basic price display and query functions. Users can find price data for specific agricultural products as well as historical price trends on these platforms, and some platforms also provide comparisons between different agricultural product price data and their changing trends. [0003] However, most of the data sources of existing agricultural price data platforms are data from offline wholesale markets, and there are few online price data. The existing agricultural price data platform only briefly displays the collected data, lacks further analysis, and users cannot get further insights into the agricultural market and consumers from these platforms; most of the...

AI Technical Summary

Problems solved by technology

[0003] However, most of the data sources of the existing agricultural price data platforms are data from offline wholesale markets, while online price data are rarely available.

The existing agricultural price data platforms only simply display the collected data without further analysis, and users cannot gain further insights into the agricultural market and consumers from these platforms; most of the displayed data are prices, and lack other relevant information. Information, single data dimension

In addition, the existing agricultural price data platform only allows users to browse information, and users cannot easily obtain the required data from it

[0004] Therefore, the defect of the existing technology is that the data source of the existing agricultural price data platform is not comprehensive, the big data of the e-commerce platform is not incorporated into the system, the data dimension displayed is relatively single, and the big data analysis method is not used for the obtained price data Analyze and process; it has not yet matched the needs of users, and users cannot browse and obtain agricultural product price data and related information conveniently and efficiently, making it difficult to grasp the market dynamics of agricultural products

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