CN113609407A - Region consistency checking method and device - Google Patents
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Abstract
The invention discloses a region consistency checking method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring enterprise detailed information of a target enterprise, wherein the enterprise detailed information comprises display region information; determining first region information of the target enterprise according to the enterprise detailed information; and carrying out region consistency check on the target enterprise according to the first region information and the display region information to obtain a region consistency check result. According to the method and the device, the area where the enterprise is located can be accurately determined by analyzing the detailed information of the enterprise, the area consistency is verified according to the determined area where the enterprise is located, the enterprises with inconsistent areas can be efficiently and quickly determined, the accuracy of the displayed detailed information of the enterprise can be effectively improved, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for checking region consistency, a storage medium, and an electronic device.
Background
The region where the enterprise is located is one of enterprise information which is generally and intensively concerned by users. However, the area where the enterprise is located is not directly disclosed data, and the information related to the enterprise has many dimensions and has the problems of complex data and low reliability, so how to accurately identify the area where the enterprise is located from the disclosed information related to the enterprise is a technical problem which is difficult to solve at present.
The existing technical scheme mainly determines the area of an enterprise in a manual calibration mode, so that the problems of low efficiency and low accuracy exist. And when the calibrated enterprise region is inconsistent with the actual enterprise region, the problem cannot be automatically and quickly found, so that the user experience is poor.
Disclosure of Invention
The problem to be solved by the invention includes that the displayed region information of the enterprise is inconsistent with the actual region information of the enterprise, so that the region information needs to be verified, and how to deduce the region of the enterprise according to the detailed enterprise information of the enterprise and verify the displayed region information of the enterprise, thereby determining the accuracy of the region information displayed by the enterprise.
The invention is provided to solve the technical problems such as how to deduce the region where the enterprise is located and to check the region information displayed by the enterprise. The embodiment of the invention provides a region consistency checking method and device, a storage medium and electronic equipment.
According to an aspect of an embodiment of the present invention, there is provided a method for checking a zone consistency, the method including:
acquiring enterprise detailed information of a target enterprise, wherein the enterprise detailed information comprises display region information;
determining first region information of the target enterprise according to the enterprise detailed information;
and carrying out region consistency check on the target enterprise according to the first region information and the display region information to obtain a region consistency check result.
Preferably, the method further comprises the following steps:
and traversing the database according to a preset time interval to acquire the enterprise detailed information of the target enterprise.
Preferably, the determining the first regional information of the target enterprise according to the enterprise detailed information includes:
when the tax payer identification number dimension in the enterprise detailed information has data, extracting data for identifying first region information from the tax payer identification number, determining a region word according to the data of the first region information, and taking the region word as the first region information of the target enterprise.
Preferably, the method further comprises the following steps:
and extracting the data for identifying the first region information according to the digit of the taxpayer identification number and a preset extraction rule.
Preferably, the method further comprises the following steps:
and when the dimension of the taxpayer identification number in the enterprise detailed information is null or the first region information cannot be determined according to the taxpayer identification number, determining the first region information of the target enterprise according to the first dimension information of the preset first dimension in the enterprise detailed information.
Preferably, the determining the first region information of the target enterprise according to the first dimension information of the preset first dimension in the enterprise detailed information includes:
segmenting words of first dimension information to obtain regional words in the first dimension information;
determining the word weight of each regional word in the first dimension information, sequencing the word weights, and determining a first word weight according to the maximum word weight;
and when the first word weight is larger than or equal to a preset word weight threshold value, determining first region information of the target enterprise according to a first region word corresponding to the first word weight.
Preferably, the method further comprises the following steps:
and when the first word weight is smaller than a preset word weight threshold value, determining a first global voting weight of a first region word corresponding to the first word weight.
Preferably, the preset first dimension is an annual newspaper dimension.
Preferably, the method further comprises the following steps:
determining the dimension of the taxpayer identification number and the preset dimension of the first dimension in the enterprise detailed information as a second dimension;
and determining a second global voting weight of a second regional word in each second dimension information according to the type of the second dimension information of the second dimension and a preset strategy.
Preferably, the determining, according to the type of the second dimension information of the second dimension and according to a preset policy, a second global voting weight of the second regional word in each second dimension information includes:
when the type of second dimension information of a second dimension is a text type, segmenting the second dimension information to obtain regional words in the second dimension information, calculating the word weight of each regional word in the second dimension information, sequencing the word weights, determining a second word weight according to the maximum word weight, and calculating a second global voting weight of the second regional word corresponding to the second word weight;
and when the type of the second dimension information of the second dimension is IP or telephone number, inquiring the attribution according to the second dimension information to obtain second regional words in the second dimension information, and matching the global voting weight according to the type of the second dimension information to determine the second global voting weight of each second regional word.
Preferably, the method further comprises the following steps: and counting according to the global voting weight of the first region word and the global voting weight of the second region word, determining the total global voting weight of the same region word, and determining the first region information of the target enterprise according to the region word with the maximum total global voting weight.
Preferably, the method further comprises the following steps:
splitting the dimension information, acquiring regional words in the dimension information, and counting the word frequency of each regional word in the dimension information;
for any regional word, determining the weight of the regional word according to a preset keyword existing in the text where the regional word is located, and determining the word weight of the regional word according to the weight and the word frequency of the regional word.
Preferably, the method further comprises the following steps: for any regional word, determining the weight corresponding to each sentence with the regional word according to preset keywords in the context of each sentence with the regional word, and selecting the maximum weight as the weight of the any regional word.
Preferably, the determining the first regional information of the target enterprise according to the enterprise detailed information includes:
determining regional words according to the detailed enterprise information;
acquiring the word right of the regional words; and
and taking the regional words and the word rights of the regional words as first regional information of the target enterprise.
Preferably, the method further comprises the following steps:
and when the region consistency check result indicates that the first region information is inconsistent with the display region information in the enterprise detailed information, determining that the target enterprise is abnormal, and sending abnormal warning information to a monitoring terminal.
According to still another aspect of an embodiment of the present invention, there is provided a region consistency verification apparatus, including:
the enterprise detailed information acquisition module is used for acquiring enterprise detailed information of a target enterprise, wherein the enterprise detailed information comprises display region information;
the first region information determining module is used for determining first region information of the target enterprise according to the enterprise detailed information;
and the verification module is used for performing region consistency verification on the target enterprise according to the first region information and the display region information to obtain a region consistency verification result.
According to yet another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is configured to execute the method according to any of the above-mentioned embodiments of the present invention.
According to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus, including: a memory and a processor; wherein the content of the first and second substances,
the memory to store the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the above embodiments of the present invention.
According to the method and the device, the area where the enterprise is located can be accurately determined by analyzing the detailed information of the enterprise, the area consistency is verified according to the determined area where the enterprise is located, the enterprises with inconsistent areas can be efficiently and quickly determined, the accuracy of the displayed detailed information of the enterprise can be effectively improved, and the user experience is improved.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a flowchart of a method 100 for checking regional consistency according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart of a method 200 for determining first regional information of a target business according to yearbook information according to an exemplary embodiment of the present invention;
fig. 3 is a schematic structural diagram of a region consistency check apparatus 300 according to an exemplary embodiment of the present invention;
fig. 4 is a structure of an electronic device according to an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, example embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present invention are used merely to distinguish one element, step, device, module, or the like from another element, and do not denote any particular technical or logical order therebetween.
It should also be understood that in embodiments of the present invention, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the invention may be generally understood as one or more, unless explicitly defined otherwise or stated to the contrary hereinafter.
In addition, the term "and/or" in the present invention is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In the present invention, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship.
It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations, and with numerous other electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Exemplary method
Fig. 1 is a flowchart of a method 100 for checking regional consistency according to an exemplary embodiment of the present invention. The embodiment can be applied to an electronic device, as shown in fig. 1, and includes the following steps:
Wherein, the detailed information of the enterprise includes: tax payer identification number, yearbook, telephone number, company name, etc., and also includes multiple dimensions for displaying regional information for display. Dimension information such as taxpayer identification numbers, yearly newspapers and telephone numbers can be null values.
In some optional embodiments, the enterprise detailed information of the target enterprise may also be obtained by: and traversing the database according to a preset time interval to acquire the enterprise detailed information of the target enterprise.
The enterprise detailed information of the enterprise can be acquired from the database through the enterprise detailed information acquisition interface. When the enterprise detailed information is obtained, the target enterprise can be customized, and the enterprise detailed information of all companies in the database can be traversed according to preset time.
For example, in one embodiment of the present invention, enterprise detailed information for all enterprises in the database is obtained weekly at preset time intervals. The business detail information of each business is a record. For example, the enterprise details of a certain enterprise a include: the taxpayer identification number is "123456789012345", the yearbook information is "headquarter of the company is located in beijing, five branches and the like are included", the telephone number is "18888888888", the company name is "a limited company", and the display area information is "beijing".
And 102, determining first region information of the target enterprise according to the enterprise detailed information.
Taking the example that the enterprise detailed information includes the taxpayer identification number, determining the first region information of the target enterprise according to the enterprise detailed information includes: when the tax payer identification number dimension in the enterprise detailed information has data, extracting data for identifying first region information from the tax payer identification number, determining a region word according to the data of the first region information, and taking the region word as the first region information of the target enterprise.
In some optional embodiments, a predetermined extraction rule expected to correspond to the taxpayer identification number may be determined based on the number of digits of the taxpayer identification number, and the data for identifying the first region information may be extracted based on the predetermined extraction rule.
For example, in the present invention, the first region information may be determined based on the taxpayer identification number. The taxpayer identification number is typically 15, 17, 18 or 20 digits. The taxpayer identification number comprises the following components:
(1)15 bits: the taxpayer code issued by the national tax administration is 15 bits, wherein: 1-2 bits are province and city codes, 3-6 bits are area codes, 7-8 bits are economic property codes, 9-10 industry codes and 11-15 bits are self-set sequence codes of each region;
(2)17 bit: 15-bit resident identification card number + 2-bit sequence code;
(3)18 bits: 18 resident identification numbers;
(4)20 bits: 18-bit resident identification number + 2-bit sequence number (01 to 99).
Part of the taxpayer identification number comprises boss identity card information. For example, an individual industrial and commercial company uses a resident identification number (18 or 15 digits) as its "taxpayer identification number".
In this embodiment of the present invention, the extraction rule for identifying the data of the first region information is set as: when the taxpayer identification number is 15, 17, 18 or 20 bits, the first 1-6 bits are extracted as data for identifying the first region information. Then, the first region information is determined based on the extracted data for identifying the first region information and the number of digits of the taxpayer identification number. The tax payer identification numbers with different numbers are associated with different region information databases, so that the region information database can be determined according to the tax payer identification numbers, and the data for identifying the first region information is matched with the region information from the selected region information database, so that the first region information is determined. Regional information for approximately 95% of businesses is accurately identified by tax payer identification numbers.
For example, the area information database a corresponding to the taxpayer identification number of 15 bits is the area information database B corresponding to the taxpayer identification number of 17, 18 or 20 bits. When the taxpayer identification number is "11010098765432111", the taxpayer identification number is determined to be 17 bits, the corresponding region information database can be determined to be B, then the first 6 bits are extracted to be "110100", and then the region information corresponding to "110100" is matched in the region information database B to be "beijing", so that the first region information can be determined to be "beijing".
In some optional embodiments, when the tax payer identification number dimension in the enterprise detailed information is empty or the first region information cannot be determined according to the tax payer identification number, the first region information of the target enterprise is determined according to the first dimension information of the preset first dimension in the enterprise detailed information.
The preset first dimension may be an annual newspaper dimension.
Specifically, when the dimension of the taxpayer identification number in the enterprise detailed information is null or when the taxpayer identification number has a problem and the first area information cannot be determined according to the taxpayer identification number, the first area information of the target enterprise is determined according to the annual report information of the annual report dimension in the enterprise detailed information.
Preferably, the determining the first region information of the target enterprise according to the first dimension information of the preset first dimension in the enterprise detailed information includes: segmenting words of first dimension information to obtain regional words in the first dimension information; determining the word weight of each regional word in the first dimension information, sequencing the word weights, and determining a first word weight according to the maximum word weight; and when the first word weight is larger than or equal to a preset word weight threshold value, determining first region information of the target enterprise according to a first region word corresponding to the first word weight.
Preferably, the method further comprises the following steps:
splitting the dimension information, acquiring regional words in the dimension information, and counting the word frequency of each regional word in the dimension information;
for any regional word, determining the weight of the regional word according to a preset keyword existing in the text where the regional word is located, and determining the word weight of the regional word according to the weight and the word frequency of the regional word.
Preferably, the method further comprises the following steps:
for any regional word, determining the weight corresponding to each sentence with the regional word according to preset keywords in the context of each sentence with the regional word, and selecting the maximum weight as the weight of the any regional word.
In the invention, the yearly newspaper information is firstly split, and regional words and the word frequency of each regional word are determined; then, determining the weight of each regional word; and finally, determining the word weight of each regional word according to the word frequency and the weight.
For any regional word, if no preset keyword exists in all the contexts where the regional word is located, the weight of the regional word can be directly determined to be 0.
And for any regional word, if the regional word appears in a plurality of sentences, calculating the weight of the regional word in each corresponding sentence, and selecting the maximum weight as the weight of the regional word. For example, if the regional words "beijing" are respectively located in sentences 1, 2 and 4 of the yearbook information, and the corresponding weights are respectively 0.1,0.2 and 0.3 according to the context of beijing in sentences 1, 2 and 4, then 0.3 is taken as the weight corresponding to beijing. In the present invention, the word weight corresponding to each regional word can be calculated by using the following formula, including: TFIDF ═ TFxIDF; TF ═ counter wordstr/counter all; IDF loge (pageAll/wordCount+1)Wherein, TFIDF is word weight, TF is word frequency, and IDF is weight; countWordStr is the number of times a word in a certain region appears in a document; countAll is the total word size of the document; pageAll is the total number of documents in the corpus; wordCount is the number of documents that contain the word.
Fig. 2 is a flowchart for determining first regional information of a target enterprise according to yearbook information according to an exemplary embodiment of the present invention. As shown in fig. 2, determining the first regional information of the enterprise according to the annual report information includes:
For example, the yearbook information of a certain company B is "the headquarters of the company is located in beijing, which brings great profit to the company as the headquarters of the company, and shanghai and tianjin are both branches of the company".
Then, the step of determining the first regional information according to the yearbook information of the enterprise B may specifically include:
splitting annual report information, determining that regional words in the annual report information comprise Beijing, Shanghai and Tianjin, then determining that the word frequency of the Beijing is 2, the word frequency of the Shanghai is 1 and the word frequency of the Tianjin is 1;
determining that the weight of Beijing is 0.5 and the weights of Shanghai and Tianjin are 0.25 respectively according to preset keywords of 'headquarter/position/subsection' and the like existing in the context of the regional words;
according to the weight and the word frequency of each regional word, the word weight of each regional word can be determined by using the calculation formula of the word weight, and the word weight corresponding to Beijing is 1, the word weight corresponding to Shanghai is 0.25, and the word weight corresponding to Tianjin is 0.25;
selecting the maximum word weight 1 as a first word weight;
if the preset word weight threshold n is 0.6, the first word weight is greater than or equal to the preset word weight threshold, and therefore it is determined that the regional word "beijing" corresponding to the first word weight 1 is the first regional information, or if the preset word weight threshold n is 1.1, the first word weight is smaller than the preset word weight threshold n, and therefore the first global voting weight corresponding to the regional word "beijing" corresponding to the first word weight 1 needs to be determined.
The specific value of the preset word weight threshold is not limited to the above example, and may be set according to the requirement.
In some optional embodiments, the method further comprises: and when the first word weight is smaller than a preset word weight threshold value, determining a first global voting weight of a first region word corresponding to the first word weight.
In the invention, when the first word weight is smaller than a preset word weight threshold value, normalization processing is carried out on the first word weight according to the word weights of all regional words in annual report information so as to determine the first global voting weight of the first regional word corresponding to the first word weight. And then, determining the first region information of the target enterprise according to the dimension information of other dimensions.
In some optional embodiments, the method further comprises: determining the dimension of the taxpayer identification number and the preset dimension of the first dimension in the enterprise detailed information as a second dimension; and determining a second global voting weight of a second regional word in each second dimension information according to the type of the second dimension information of the second dimension and a preset strategy.
In the invention, the dimension of the taxpayer identification number and the preset first dimension (yearbook dimension) in the enterprise detailed information comprises: business name, IP address, phone number, litigation information, etc., all as a second dimension. Since the types of the values of the different dimensions are different, the global voting weight is determined according to the type of the second dimension information.
Preferably, the determining, according to the type of the second dimension information of the second dimension and according to a preset policy, a second global voting weight of the second regional word in each second dimension information includes:
when the type of second dimension information of a second dimension is a text type, segmenting the second dimension information to obtain regional words in the second dimension information, calculating the word weight of each regional word in the second dimension information, sequencing the word weights, determining a second word weight according to the maximum word weight, and calculating a second global voting weight of the second regional word corresponding to the second word weight;
and when the type of the second dimension information of the second dimension is IP or telephone number, inquiring the attribution according to the second dimension information to obtain second regional words in the second dimension information, and matching the global voting weight according to the type of the second dimension information to determine the second global voting weight of each second regional word.
In some optional embodiments, the method further comprises: and counting according to the global voting weight of the first region word and the global voting weight of the second region word, determining the total global voting weight of the same region word, and determining the first region information of the target enterprise according to the region word with the maximum total global voting weight.
In the invention, for each dimension information of the taxpayer identification number dimension and the annual report dimension in the enterprise detailed information, when the dimension information belongs to a text type, the principle of calculating the second global voting weight of the second regional word corresponding to the second word weight of each dimension information is the same as the principle of calculating the first global voting weight in the annual report information, and the details are not repeated herein.
And when the dimension information belongs to the IP address or the telephone number, inquiring the attribution according to the second dimension information to obtain second regional words in the second dimension information, and matching the global voting weight according to the type of the second dimension information to determine the second global voting weight of each second regional word. For example, the second regional word is determined to be "tianjin" by the telephone number attribution, and then the weight matched with the telephone number dimension is determined to be 0.3, so that the second global voting weight of the second regional word "tianjin" of the telephone number dimension is 0.3.
After the global voting weight is obtained, counting is carried out according to the global voting weight of the first area word and the global voting weight of the second area word, the total global voting weight of the same area word is determined, and the first area information of the target enterprise is determined according to the area word with the maximum total global voting weight. For example, if the area word and the corresponding global voting weight respectively determined by the yearbook dimension, the IP address dimension, and the phone number dimension are (beijing, 0.1) (shanghai, 0.15) (beijing, 0.07), the total global voting weight of beijing is 0.17, which is obtained by statistics, and is greater than the total global voting weight of shanghai, which is 0.15, the first area information may be determined to be "beijing".
103, performing region consistency check on the target enterprise according to the first region information and the display region information to obtain a region consistency check result.
In some optional embodiments, if the region consistency check result indicates that the first region information is inconsistent with the display region information in the enterprise detailed information, it is determined that the target enterprise has an abnormality, and an abnormality warning message may be sent to the monitoring terminal.
In the invention, the first region information determined by the enterprise detailed information can be used as a default correct value, the first region information and the display region information (displayed on an enterprise detailed page) in the enterprise detailed information are compared, if the first region information and the display region information are not consistent, the enterprise is determined to have abnormality, and abnormality warning information is sent to the monitoring terminal.
In some optional embodiments, the determining the first region information of the target enterprise according to the enterprise detailed information includes:
determining regional words according to the detailed enterprise information;
acquiring the word right of the regional words; and
and taking the regional words and the word rights of the regional words as first regional information of the target enterprise.
Specifically, the enterprise detailed information includes: tax payer identification number, yearbook, telephone number, company name, etc., and also includes multiple dimensions for displaying regional information for display. When determining the regional words, it may be determined whether the regional words can be determined according to the value of the taxpayer identification number dimension.
If the area words can be determined according to the taxpayer identification number, the area words are determined according to the taxpayer identification number, the preset word right corresponding to the area words is called from the database directly according to the area words, and the determined area words and the preset word right corresponding to the area words are used as first area information of the target enterprise. Here, for the preset word right, since there is only one area word determined according to the taxpayer identification number, it may be set to be null or a fixed value of 1. The region acquired at this time is directly the first region information. The principle of how to determine the regional words according to the value of the tax payer identification number dimension is the same as the principle of determining the regional words according to the tax payer identification number dimension in the above embodiment, and details are not repeated here.
If the regional words cannot be determined according to the taxpayer identification number, the regional words can be determined according to information of other dimensions except for the taxpayer identification number dimension and the display region information dimension. For example, when determining the regional word, it may be determined whether the regional word may be determined according to the yearbook information of the yearbook dimension, if so, the first regional information may be determined directly according to the regional word corresponding to the yearbook dimension, otherwise, the first regional information may be determined based on values of other dimensions.
The process of determining the first region information according to the annual report information of the annual report dimensionality comprises the following steps: the method comprises the steps of splitting annual report information of annual report dimensionality, obtaining regional words in the annual report information, and counting word frequency of each regional word; for any regional word, determining the weight of the regional word according to a preset keyword existing in the text where the regional word is located, and determining the word weight of the regional word according to the weight and the word frequency of the regional word; ordering the word weights, and determining a first word weight according to the maximum word weight; if the first word weight is larger than or equal to a preset word weight threshold value, it indicates that first region information can be determined according to yearbook dimensions at the moment, and the first region information of the target enterprise is determined directly according to the first region word corresponding to the first word weight. The principle of how to determine the first region information according to the yearbook dimension information is the same as that of determining the first region information according to the yearbook dimension information in the above embodiment, and details are not repeated here.
When the first word weight is smaller than a preset word weight threshold value, it is indicated that the first region information cannot be determined according to annual newspaper dimensions at the moment, a first global voting weight of a first region word corresponding to the first word weight is determined at the moment, and then the first region information is determined according to the first global voting weight and in combination with dimension information of other dimensions. The principle of determining the first region information by combining other dimension information when the first region information cannot be determined according to the yearbook dimension information is the same as the principle of determining the first region information by combining other dimension information in the above embodiment, and details are not repeated here.
The method can effectively identify the enterprises with abnormal regional information through the information of multiple dimensions such as the taxpayer identification number, the annual report, the company name and the like, can effectively improve the accuracy of the displayed detailed information of the enterprises, and improves the user experience.
Exemplary devices
Fig. 3 is a schematic structural diagram of a region consistency check apparatus 300 according to an exemplary embodiment of the present invention. As shown in fig. 3, the present embodiment includes:
the enterprise detailed information acquiring module 301 is configured to acquire enterprise detailed information of a target enterprise, where the enterprise detailed information includes display region information.
Preferably, the enterprise detailed information obtaining module 301 further includes: and traversing the database according to a preset time interval to acquire the enterprise detailed information of the target enterprise.
A first region information determining module 302, configured to determine first region information of the target enterprise according to the enterprise detailed information.
Preferably, the determining the first region information module 302 determines the first region information of the target enterprise according to the enterprise detailed information, including: when the tax payer identification number dimension in the enterprise detailed information has data, extracting data for identifying first region information from the tax payer identification number, determining a region word according to the data of the first region information, and taking the region word as the first region information of the target enterprise.
Preferably, the first region information determining module 302 further includes an extracting unit, configured to extract the data for identifying the first region information according to a preset extraction rule according to the number of the taxpayer identification number.
Preferably, the first region information determining module 302 further includes: and when the dimension of the taxpayer identification number in the enterprise detailed information is null or the first region information cannot be determined according to the taxpayer identification number, determining the first region information of the target enterprise according to the first dimension information of the preset first dimension in the enterprise detailed information.
Preferably, the determining the first region information of the target enterprise by the first region information determining module 302 according to the first dimension information of the preset first dimension in the enterprise detailed information includes: segmenting words of first dimension information to obtain regional words in the first dimension information; determining the word weight of each regional word in the first dimension information, sequencing the word weights, and determining a first word weight according to the maximum word weight; and when the first word weight is larger than or equal to a preset word weight threshold value, determining first region information of the target enterprise according to a first region word corresponding to the first word weight.
Preferably, in the first region information determining module 302, the preset first dimension is an annual newspaper dimension.
Preferably, the first region information determining module 302 further includes: and the global voting weight calculation unit is used for determining a first global voting weight of a first area word corresponding to the first word weight when the first word weight is smaller than a preset word weight threshold value.
Preferably, the first region information determining module 302 further includes: determining the dimension of the taxpayer identification number and the preset dimension of the first dimension in the enterprise detailed information as a second dimension; and determining a second global voting weight of a second regional word in each second dimension information according to the type of the second dimension information of the second dimension and a preset strategy.
Preferably, the first region information determining module 302 determines, according to the type of the second-dimension information of the second dimension and according to a preset policy, a second global voting weight of the second region word in each second-dimension information, including: when the type of second dimension information of a second dimension is a text type, segmenting the second dimension information to obtain regional words in the second dimension information, calculating the word weight of each regional word in the second dimension information, sequencing the word weights, determining a second word weight according to the maximum word weight, and calculating a second global voting weight of the second regional word corresponding to the second word weight; and when the type of the second dimension information of the second dimension is IP or telephone number, inquiring the attribution according to the second dimension information to obtain second regional words in the second dimension information, and matching the global voting weight according to the type of the second dimension information to determine the second global voting weight of each second regional word.
Preferably, the first region information determining module 302 further includes: and counting according to the global voting weight of the first region word and the global voting weight of the second region word, determining the total global voting weight of the same region word, and determining the first region information of the target enterprise according to the region word with the maximum total global voting weight.
Preferably, the first region information determining module 302 further includes: splitting the dimension information, acquiring regional words in the dimension information, and counting the word frequency of each regional word in the dimension information;
for any regional word, determining the weight of the regional word according to a preset keyword existing in the text where the regional word is located, and determining the word weight of the regional word according to the weight and the word frequency of the regional word.
Preferably, the first region information determining module 302 further includes: for any regional word, determining the weight corresponding to each sentence with the regional word according to preset keywords in the context of each sentence with the regional word, and selecting the maximum weight as the weight of the any regional word.
The verification module 303 is configured to perform region consistency verification on the target enterprise according to the first region information and the display region information, and obtain a region consistency verification result.
Preferably, the verification module 303 further includes: and when the region consistency check result indicates that the first region information is inconsistent with the display region information in the enterprise detailed information, determining that the target enterprise is abnormal, and sending abnormal warning information to a monitoring terminal.
The region consistency check apparatus 300 according to the embodiment of the present invention corresponds to the region consistency check method 100 according to another embodiment of the present invention, and is not described herein again.
Exemplary electronic device
Fig. 4 is a structure of an electronic device according to an exemplary embodiment of the present invention. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom. FIG. 4 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 4, electronic device 40 includes one or more processors 41 and memory 42.
The processor 41 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
The input device 43 may also include, for example, a keyboard, a mouse, and the like.
The output device 44 can output various kinds of information to the outside. The output devices 44 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 4, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device may include any other suitable components, depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method of information mining of historical change records according to various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in a method of information mining of historical change records according to various embodiments of the present disclosure described in the "exemplary methods" section above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (18)
1. A method for checking consistency of a region, the method comprising:
acquiring enterprise detailed information of a target enterprise, wherein the enterprise detailed information comprises display region information;
determining first region information of the target enterprise according to the enterprise detailed information;
and carrying out region consistency check on the target enterprise according to the first region information and the display region information to obtain a region consistency check result.
2. The method of claim 1, further comprising: and traversing the database according to a preset time interval to acquire the enterprise detailed information of the target enterprise.
3. The method of claim 1, wherein determining the first regional information of the target business based on the business detail information comprises:
and when the dimension of the taxpayer identification number in the enterprise detailed information has data, extracting data for identifying the first region information from the taxpayer identification number, determining a region word according to the data of the first region information, and taking the region word as the first region information of the target enterprise.
4. The method of claim 3, further comprising: and extracting data for identifying the first region information according to the digit of the taxpayer identification number and a preset extraction rule.
5. The method of claim 1, further comprising:
and when the dimension of the taxpayer identification number in the enterprise detailed information is null or the first region information cannot be determined according to the taxpayer identification number, determining the first region information of the target enterprise according to first dimension information of a first dimension preset in the enterprise detailed information.
6. The method of claim 5, wherein the determining the first region information of the target enterprise according to the first dimension information of the first dimension preset in the enterprise detailed information comprises:
performing word segmentation on the first dimension information to obtain regional words in the first dimension information;
determining the word weight of each regional word in the first dimension information, sequencing the word weights, and determining a first word weight according to the maximum word weight;
and when the first word weight is larger than or equal to a preset word weight threshold value, determining first region information of the target enterprise according to a first region word corresponding to the first word weight.
7. The method of claim 6, further comprising: and when the first word weight is smaller than a preset word weight threshold value, determining a first global voting weight of a first region word corresponding to the first word weight.
8. The method of claim 5, wherein the preset first dimension is an annual newspaper dimension.
9. The method of claim 7, further comprising:
determining the dimension of the taxpayer identification number in the enterprise detailed information and the preset dimension of the first dimension as a second dimension;
and determining a second global voting weight of a second regional word in each second dimension information according to the type of the second dimension information of the second dimension and a preset strategy.
10. The method of claim 9, wherein determining the second global voting weight of the second regional word in each second dimension information according to a preset strategy according to the type of the second dimension information of the second dimension comprises:
when the type of the second dimension information of the second dimension is a text type, performing word segmentation on the second dimension information to obtain area words in the second dimension information, calculating the word weight of each area word in the second dimension information, sequencing the word weights, determining a second word weight according to the maximum word weight, and determining a second global voting weight of a second area word corresponding to the second word weight;
when the type of the second dimension information of the second dimension is IP or telephone number, inquiring a home location according to the second dimension information to obtain second regional words in the second dimension information, and matching global voting weights according to the type of the second dimension information to determine the second global voting weight of each second regional word.
11. The method of claim 10, further comprising:
and counting according to the first global voting weight and the second global voting weight, determining the total global voting weight of the same regional words, and determining the first regional information of the target enterprise according to the regional word with the maximum total global voting weight.
12. The method of claim 5 or 10, further comprising:
splitting the dimension information, acquiring regional words in the dimension information, and counting the word frequency of each regional word in the dimension information;
for any regional word, determining the weight of the regional word according to a preset keyword existing in the text where the regional word is located, and determining the word weight of the regional word according to the weight and the word frequency of the regional word.
13. The method of claim 12, further comprising:
for any regional word, determining the weight corresponding to each sentence with the regional word according to preset keywords in the context of each sentence with the regional word, and selecting the maximum weight as the weight of the regional word.
14. The method of claim 1, wherein determining the first region information of the target business according to the business detail information comprises:
determining regional words according to the detailed enterprise information;
acquiring the word right of the regional words; and
and taking the regional words and the word rights of the regional words as first regional information of the target enterprise.
15. The method of claim 1, further comprising:
and when the region consistency check result indicates that the first region information is inconsistent with the display region information in the enterprise detailed information, determining that the target enterprise is abnormal, and sending abnormal warning information to a monitoring terminal.
16. A regional consistency verification apparatus, the apparatus comprising:
the enterprise detailed information acquisition module is used for acquiring enterprise detailed information of a target enterprise, wherein the enterprise detailed information comprises display region information;
the first region information determining module is used for determining first region information of the target enterprise according to the detailed enterprise information;
and the verification module is used for performing region consistency verification on the target enterprise according to the first region information and the display region information to obtain a region consistency verification result.
17. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for performing the method of any of the preceding claims 1-14.
18. An electronic device, characterized in that the electronic device comprises: a memory and a processor; wherein the content of the first and second substances,
the memory to store the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any one of claims 1-15.
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