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Method and terminal for identifying enterprise industry
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A technology of its own industry and enterprise, applied in the field of data processing, can solve the problems of lack of data support, unfavorable overall social development, lack of enterprises, etc., to achieve the effect of improving accuracy
Pending Publication Date: 2019-07-26
厦门商集网络科技有限责任公司
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Abstract
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Problems solved by technology
[0003] Due to the lack of information on the industry to which the enterprise belongs, many analysis and policy formulation based on industry data will face the embarrassment without data support
In addition, due to the continuous adjustment of policies, the operation mode of enterprises has become more and more complicated, but it is impossible to track changes in the industry to which the enterprise belongs, which is not conducive to the overall development of society
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Embodiment 1
[0056] Such as figure 1 As shown, this embodiment provides a method for identifying the industry to which an enterprise belongs, including:
[0057] S1. Train the first deep learning model according to a plurality of bill samples; the first deep learning model is used to obtain the industry category of an enterprise according to the bill information; each of the bill samples includes a bill and corresponds to the bill industry category.
[0058] For example, for VAT sales invoices that include tea, chocolate, brown sugar, cube sugar, oolong tea, mint candy, rock sugar, coffee, white sugar, etc., through the billing details, billing unit, invoice attributes, etc., the billing company can industry to judge.
[0059] S2. Obtain the bills of an enterprise to obtain a bill set; the bill set includes bills corresponding to the main business scope of the enterprise.
[0060] Preferably, the notes corresponding to the main business scope of an enterprise include raw material purcha...
Embodiment 2
[0110] Such as figure 2 As shown, this embodiment provides a terminal for identifying the industry of an enterprise, including one or more processors 1 and a memory 2, the memory 2 is stored with a program, and is configured to be controlled by the one or more processors 1Perform the following steps:
[0111] S1. Train the first deep learning model according to a plurality of bill samples; the first deep learning model is used to obtain the industry category of an enterprise according to the bill information; each of the bill samples includes a bill and corresponds to the bill industry category.
[0112] For example, for VAT sales invoices that include tea, chocolate, brown sugar, cube sugar, oolong tea, mint candy, rock sugar, coffee, white sugar, etc., through the billing details, billing unit, invoice attributes, etc., the billing company can industry to judge.
[0113] S2. Obtain the bills of an enterprise to obtain a bill set; the bill set includes bills corresponding...
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Abstract
The invention relates to a method and a terminal for identifying the industry to which an enterprise belongs, and belongs to the field of data processing. The method comprises the steps of training afirst deep learning model according to a plurality of bill samples; wherein the first deep learning model is used for obtaining an industry category to which an enterprise belongs according to the bill information; wherein each bill sample comprises a bill and an industry category corresponding to the bill; acquiring bills of an enterprise to obtain a bill set; wherein the bill set comprises billscorresponding to the main business operation range of the enterprise; calling a preset first deep learning model to identify the bill set to obtain a first industry category table; wherein the industry category table comprises more than one record; each record includes a name of an industry category and a probability that the enterprise belongs to the industry category. The accuracy of identifying the industry to which the enterprise belongs by the intelligent terminal is improved.
Description
technical field [0001] The invention relates to a method and a terminal for identifying the industry to which an enterprise belongs, and belongs to the field of data processing. Background technique [0002] It has always been difficult for smart terminals to judge the industry to which an enterprise belongs. The reason is that, first, the business direction of small enterprises has been changing; second, medium and large enterprises generally operate across fields; third, there are multiple expressions for the definition of the same industry. [0003] Due to the lack of information on the industry to which the enterprise belongs, many analysis and policy formulation based on industry data will face the embarrassment of not having data support. In addition, due to the continuous adjustment of policies, the operation mode of enterprises has become more and more complicated, but it is impossible to track changes in the industry to which the enterprise belongs, which is not co...
Claims
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