CN112329423A - ICP filing company classification method and device, electronic equipment and computer storage medium - Google Patents
ICP filing company classification method and device, electronic equipment and computer storage medium Download PDFInfo
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Abstract
The application provides a classification method and device for ICP filing companies, electronic equipment and a computer storage medium. The classification method of the ICP filing company comprises the following steps: acquiring a domain name of an ICP filing company of a network content provider; according to the domain name of the ICP filing company, inquiring a target ICP filing company corresponding to the domain name of the ICP filing company; and comparing the similarity of the target ICP record company with a preset domain name text to determine the category of the target ICP record company. According to the embodiment of the application, the classification and identification cost can be reduced, and the identification efficiency and accuracy can be improved.
Description
Technical Field
The application belongs to the technical field of classification of Internet Content Providers (ICP) filing companies, and particularly relates to a classification method and device for the ICP filing companies, electronic equipment and a computer storage medium.
Background
ICP filing refers to the submission of website information for official approval by the information industry. At present, classification is carried out on ICP filing companies by manual identification, so that the classification and identification cost is high, and the identification efficiency and accuracy are low.
Therefore, how to reduce the cost of classification and identification and improve the identification efficiency and accuracy is a technical problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
The embodiment of the application provides a classification method and device for ICP filing companies, electronic equipment and a computer storage medium, which can reduce the classification and identification cost and improve the identification efficiency and accuracy.
In a first aspect, an embodiment of the present application provides an ICP filing company classification method, including:
acquiring a domain name of an ICP filing company of a network content provider;
according to the domain name of the ICP filing company, inquiring a target ICP filing company corresponding to the domain name of the ICP filing company;
and comparing the similarity of the target ICP record company with a preset domain name text to determine the category of the target ICP record company.
Optionally, the step of comparing the similarity between the target ICP filing company and the preset domain name text to determine the category to which the target ICP filing company belongs includes:
judging whether a target ICP filing company contains preset high-frequency words or not;
and under the condition that the high-frequency vocabulary is determined not to be contained, comparing the similarity of the target ICP filing company with the domain name text, and determining the category of the target ICP filing company.
Optionally, before determining whether the target ICP filing company contains a preset high-frequency vocabulary, the method further includes:
collecting a plurality of corpora and constructing a corpus;
high frequency words are extracted from the corpus.
Optionally, in a case that it is determined that no high-frequency vocabulary is included, performing similarity comparison between the target ICP filing company and the domain name text, and determining a category to which the target ICP filing company belongs, the method includes:
and under the condition that the high-frequency vocabulary is determined not to be contained, comparing the similarity of the target ICP filing company with the domain name text by adopting a Rocchio algorithm and a KNN algorithm, and determining the category of the target ICP filing company.
In a second aspect, an embodiment of the present application provides an ICP filing company classification apparatus, including:
the acquisition module is used for acquiring the domain name of an ICP filing company of the network content provider;
the query module is used for querying a target ICP record company corresponding to the domain name of the ICP record company according to the domain name of the ICP record company;
and the determining module is used for comparing the similarity of the target ICP record company with a preset domain name text and determining the category of the target ICP record company.
Optionally, the determining module includes:
the judging unit is used for judging whether the target ICP filing company contains preset high-frequency words or not;
and the determining unit is used for comparing the similarity of the target ICP filing company with the domain name text under the condition that the high-frequency vocabulary is determined not to be contained, and determining the category of the target ICP filing company.
Optionally, the apparatus further comprises:
the acquisition module is used for acquiring a plurality of corpora and constructing a corpus;
and the extraction module is used for extracting high-frequency vocabularies from the corpus.
Optionally, the determining unit includes:
and the determining subunit is used for comparing the similarity of the target ICP filing company with the domain name text by adopting a Rocchio algorithm and a KNN algorithm under the condition that the high-frequency vocabulary is determined not to be contained, and determining the category of the target ICP filing company.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes: a processor and a memory storing computer program instructions;
the ICP docket company classification method as shown in the first aspect is implemented by a processor executing computer program instructions.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, on which computer program instructions are stored, and when executed by a processor, the ICP filing company classification method according to the first aspect is implemented.
The classification method and device for the ICP filing company, the electronic equipment and the computer storage medium can reduce the classification and identification cost and improve the identification efficiency and accuracy. The classification method of the ICP filing company obtains the domain name of the ICP filing company of the network content provider; according to the domain name of the ICP filing company, inquiring a target ICP filing company corresponding to the domain name of the ICP filing company; and comparing the similarity of the target ICP record company with a preset domain name text to determine the category of the target ICP record company. Therefore, the method compares the similarity of the target ICP filing company with the preset domain name text to determine the category of the target ICP filing company, and compared with manual classification in the prior art, the method can reduce the classification and identification cost and improve the identification efficiency and accuracy.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a classification method for ICP filing companies according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a classification method for ICP docket companies according to another embodiment of the present application;
fig. 3 is a schematic structural diagram of an ICP filing company sorting apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
ICP filing refers to the submission of website information for official approval by the information industry. At present, classification is carried out on ICP filing companies by manual identification, so that the classification and identification cost is high, and the identification efficiency and accuracy are low.
In order to solve the prior art problems, embodiments of the present application provide a classification method and apparatus for ICP filing companies, an electronic device, and a computer storage medium. The classification method of ICP filing companies provided in the embodiments of the present application will be described first.
Fig. 1 shows a schematic flow chart of the classification method of ICP filing companies according to an embodiment of the present application. As shown in fig. 1, the classification method of ICP filing company includes:
s101, acquiring a domain name of an ICP filing company of the network content provider.
And S102, inquiring a target ICP record company corresponding to the domain name of the ICP record company according to the domain name of the ICP record company.
S103, comparing the similarity of the target ICP record company with a preset domain name text, and determining the category of the target ICP record company.
In one embodiment, the similarity comparison between the target ICP filing company and the preset domain name text is performed to determine the category to which the target ICP filing company belongs, and includes: judging whether a target ICP filing company contains preset high-frequency words or not; and under the condition that the high-frequency vocabulary is determined not to be contained, comparing the similarity of the target ICP filing company with the domain name text, and determining the category of the target ICP filing company.
In one embodiment, before determining whether the target ICP filing company contains a preset high frequency vocabulary, the method further comprises: collecting a plurality of corpora and constructing a corpus; high frequency words are extracted from the corpus.
In one embodiment, in the case that it is determined that no high-frequency vocabulary is included, comparing the similarity of the target ICP docket with the domain name text, and determining the category to which the target ICP docket belongs, includes: and under the condition that the high-frequency vocabulary is determined not to be contained, comparing the similarity of the target ICP filing company with the domain name text by adopting a Rocchio algorithm and a KNN algorithm, and determining the category of the target ICP filing company.
The classification method of the ICP filing company obtains the domain name of the ICP filing company of the network content provider; according to the domain name of the ICP filing company, inquiring a target ICP filing company corresponding to the domain name of the ICP filing company; and comparing the similarity of the target ICP record company with a preset domain name text to determine the category of the target ICP record company. Therefore, the method compares the similarity of the target ICP filing company with the preset domain name text to determine the category of the target ICP filing company, and compared with manual classification in the prior art, the method can reduce the classification and identification cost and improve the identification efficiency and accuracy.
The above technical solution is specifically described below with an example. As shown in fig. 2, the ICP filing company is queried according to the domain name and the domain description, and then it is determined whether the ICP filing company contains high-frequency words extracted from the corpus in advance; if the high-frequency words are not contained, similarity comparison is carried out between the ICP record company and the domain name text so as to determine the category of the ICP record company. If the classification of the ICP filing company cannot be determined, manual classification can be carried out, and a corpus can be continuously accumulated.
As shown in fig. 3, an embodiment of the present application further provides an ICP filing company classification apparatus, including:
an obtaining module 301, configured to obtain a domain name of an ICP filing company of a network content provider;
the query module 302 is configured to query, according to the domain name of the ICP filing company, a target ICP filing company corresponding to the domain name of the ICP filing company;
the determining module 303 is configured to compare the similarity between the target ICP filing company and a preset domain name text, and determine the category to which the target ICP filing company belongs.
In one embodiment, the determining module 303 includes:
the judging unit is used for judging whether the target ICP filing company contains preset high-frequency words or not;
and the determining unit is used for comparing the similarity of the target ICP filing company with the domain name text under the condition that the high-frequency vocabulary is determined not to be contained, and determining the category of the target ICP filing company.
In one embodiment, the apparatus further comprises: the acquisition module is used for acquiring a plurality of corpora and constructing a corpus; and the extraction module is used for extracting high-frequency vocabularies from the corpus.
In one embodiment, the determining unit includes: and the determining subunit is used for comparing the similarity of the target ICP filing company with the domain name text by adopting a Rocchio algorithm and a KNN algorithm under the condition that the high-frequency vocabulary is determined not to be contained, and determining the category of the target ICP filing company.
Each module/unit in the apparatus shown in fig. 3 has a function of implementing each step in fig. 1, and can achieve the corresponding technical effect, and for brevity, the description is not repeated here.
Fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
The electronic device may include a processor 401 and a memory 402 storing computer program instructions.
Specifically, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
In one example, the Memory 402 may be a Read Only Memory (ROM). In one example, the ROM may be mask programmed ROM, programmable ROM (prom), erasable prom (eprom), electrically erasable prom (eeprom), electrically rewritable ROM (earom), or flash memory, or a combination of two or more of these.
The processor 401 may implement any one of the ICP docket company classification methods in the above embodiments by reading and executing computer program instructions stored in the memory 402.
In one example, the electronic device may also include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
In addition, the embodiment of the application can be realized by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any one of the ICP docket company classification methods in the embodiments described above.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. An ICP filing company classification method is characterized by comprising the following steps:
acquiring a domain name of an ICP filing company of a network content provider;
inquiring a target ICP record company corresponding to the domain name of the ICP record company according to the domain name of the ICP record company;
and comparing the similarity of the target ICP record company with a preset domain name text to determine the category of the target ICP record company.
2. The ICP filing company classification method according to claim 1, wherein the comparing the similarity of the target ICP filing company with a preset domain name text to determine the category of the target ICP filing company comprises:
judging whether the target ICP filing company contains preset high-frequency words or not;
and under the condition that the high-frequency vocabulary is determined not to be contained, carrying out similarity comparison on the target ICP filing company and the domain name text, and determining the category of the target ICP filing company.
3. The ICP docket company classification method of claim 2, wherein prior to the determining whether the target ICP docket company contains a preset high frequency vocabulary, the method further comprises:
collecting a plurality of corpora and constructing a corpus;
and extracting the high-frequency vocabulary from the corpus.
4. The ICP filing company classification method according to claim 2, wherein the determining the category of the target ICP filing company by comparing the similarity of the target ICP filing company with the domain name text in case that it is determined that the high frequency vocabulary is not included includes:
and under the condition that the high-frequency vocabulary is determined not to be contained, comparing the similarity of the target ICP filing company with the domain name text by adopting a Rocchio algorithm and a KNN algorithm, and determining the category of the target ICP filing company.
5. An ICP filing company classification apparatus, comprising:
the acquisition module is used for acquiring the domain name of an ICP filing company of the network content provider;
the query module is used for querying a target ICP filing company corresponding to the domain name of the ICP filing company according to the domain name of the ICP filing company;
and the determining module is used for comparing the similarity of the target ICP record company with a preset domain name text and determining the category of the target ICP record company.
6. An ICP docket company classification apparatus as claimed in claim 5, wherein the determination module comprises:
the judging unit is used for judging whether the target ICP filing company contains preset high-frequency words or not;
and the determining unit is used for comparing the similarity of the target ICP filing company with the domain name text under the condition that the high-frequency vocabulary is determined not to be contained, and determining the category of the target ICP filing company.
7. An ICP docket company sorting apparatus as claimed in claim 6, wherein the apparatus further comprises:
the acquisition module is used for acquiring a plurality of corpora and constructing a corpus;
and the extraction module is used for extracting the high-frequency vocabulary from the corpus.
8. An ICP filing company classification apparatus according to claim 6, wherein the determining unit includes:
and the determining subunit is used for comparing the similarity between the target ICP filing company and the domain name text by adopting a Rocchio algorithm and a KNN algorithm under the condition that the high-frequency vocabulary is determined not to be contained, and determining the category of the target ICP filing company.
9. An electronic device, characterized in that the electronic device comprises: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the ICP docket classification method of any one of claims 1-4.
10. A computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement the ICP docket company classification method of any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011220937.1A CN112329423A (en) | 2020-11-05 | 2020-11-05 | ICP filing company classification method and device, electronic equipment and computer storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011220937.1A CN112329423A (en) | 2020-11-05 | 2020-11-05 | ICP filing company classification method and device, electronic equipment and computer storage medium |
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Application publication date: 20210205 |