Automatic content auditing method and device and medium
Through the automated audit method, deep learning models and semantic analysis and processing technology are used to automatically review the content of social platforms, solving the problem of manual audit omissions, achieving efficient and accurate content audits, and reducing costs.
Patent Information
- Application Number
- CN202411348658.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2025-02-14
AI Technical Summary
In the prior art, manual review of social platform content often leads to omissions in review due to uncontrollability, making it difficult to cope with the challenge of rapid growth in the number of users and information.
Adopt an automated content review method, through text preprocessing and semantic analysis, automatically review the content to be published, extract and label non-compliant fragments, use deep learning models to match sensitive words and entity recognition, combining semantic understanding and sentiment analysis Judge content compliance.
It realizes automated review when content is released, improves audit accuracy and efficiency, reduces manual review costs, and improves the operability of content automation review methods.
Smart Images
Figure CN119444099A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of data processing technology, and in particular to a method, system, device and medium for automatic content review. Background Art
[0002] At present, with the continuous development of the Internet, the number of users on various social platforms is increasing day by day. As the number of users increases, the information posted by users is also increasing, which poses a great challenge to the current review work of online platforms.
[0003] Existing audit methods mostly use manual audit, which often leads to audit omissions due to the uncontrollability of manual operations. Summary of the invention
[0004] The purpose of the present invention is to provide a method, device and medium for automatic content review, thereby solving all or one of the above-mentioned problems existing in the prior art.
[0005] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In one aspect, the present invention provides a method for automatic content review, comprising the following steps: Content analysis steps: Confirm the content to be published, perform text preprocessing and semantic analysis on the content to be published, and obtain non-compliant fragments; Results display steps: The non-compliant segments are marked and displayed.
[0006] In one embodiment, the text preprocessing includes: Processing the content to be published by using a text segmentation operation and a part-of-speech tagging operation to obtain content to be identified; Extract basic review fragments based on the content to be identified.
[0007] In one embodiment, extracting a basic audit segment based on the content to be identified includes: A deep learning model is used to extract non-compliant content from the content to be identified as a basic review fragment based on sensitive word matching and entity recognition.
[0008] In one embodiment, the semantic analysis process includes: Performing semantic understanding and sentiment analysis on the basic review fragments; Based on the results of the semantic understanding processing and sentiment analysis processing, determine whether the basic audit fragment is compliant.
[0009] In one embodiment, judging whether the basic audit segment is compliant based on the results of the semantic understanding processing and the sentiment analysis processing includes: Based on the semantic understanding process and the sentiment analysis process, the recognition correctness in the basic review segment will be confirmed; The basic audit segment that does not meet the correctness is regarded as the non-compliant segment.
[0010] In one embodiment, the marking and displaying the non-compliant segment includes: The corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed with a highlight effect.
[0011] In one embodiment, the marking and displaying the non-compliant segment further includes: The corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed with underlines.
[0012] In one embodiment, the method for automatic content review further includes: After the corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed, determining whether the non-compliant words or phrases are adjusted; If not adjusted, the corresponding non-compliant words or phrases in the non-compliant segment are deleted.
[0013] On the other hand, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the automatic content review method are implemented.
[0014] On the other hand, the present invention further provides a computer device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the content automatic review method by running the program stored in the memory.
[0015] The beneficial effects of the technical solution of the present invention are: 1. The content automated review method described in the present invention can realize automated review of text content when the content is published, and automatically mark the non-compliant parts, which has high review accuracy and review efficiency and reduces the cost of manual review.
[0016] 2. The computer-readable storage medium described in the present invention can guide the system module to cooperate, thereby realizing the content automatic review method described in the present invention, and the computer-readable storage medium described in the present invention also effectively improves the operability of the content automatic review method.
[0017] 3. The computer device described in the present invention can store and execute the computer-readable storage medium, thereby realizing the content automatic review method described in the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0019] Figure 1 It is a flowchart of the content automatic review method described in Example 1 of the present invention; Figure 2 is a schematic diagram of the structure of the computer device described in Example 3 of the present invention; The symbols in the accompanying drawings are explained as follows: 1501, processor; 1502, communication interface; 1503, memory; 1504, communication bus. DETAILED DESCRIPTION
[0020] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.
[0021] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present invention.
[0022] The terms "first", "second", etc. in the specification and claims of this article and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of this article described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. Example 1
[0023] This embodiment provides a method for automatic content review. Figure 1 As shown, the following steps are included: S100, content analysis steps: Confirm the content to be published, perform text preprocessing and semantic analysis on the content to be published, and obtain non-compliant fragments; S200, result display step: The non-compliant segments are marked and displayed.
[0024] In one embodiment, the text preprocessing includes: Processing the content to be published by using a text segmentation operation and a part-of-speech tagging operation to obtain content to be identified; Extract basic review fragments based on the content to be identified.
[0025] In one embodiment, extracting a basic audit segment based on the content to be identified includes: A deep learning model is used to extract non-compliant content from the content to be identified as a basic review fragment based on sensitive word matching and entity recognition.
[0026] In one embodiment, the semantic analysis process includes: Performing semantic understanding and sentiment analysis on the basic review fragments; Based on the results of the semantic understanding processing and sentiment analysis processing, determine whether the basic audit fragment is compliant.
[0027] In one embodiment, judging whether the basic audit segment is compliant based on the results of the semantic understanding processing and the sentiment analysis processing includes: Based on the semantic understanding process and the sentiment analysis process, the recognition correctness in the basic review segment will be confirmed; The basic audit segment that does not meet the correctness is regarded as the non-compliant segment.
[0028] In one embodiment, the marking and displaying the non-compliant segment includes: The corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed with a highlight effect.
[0029] In one embodiment, the marking and displaying the non-compliant segment further includes: The corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed with underlines.
[0030] In one embodiment, the method for automatic content review further includes: After the corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed, determining whether the non-compliant words or phrases are adjusted; If not adjusted, the corresponding non-compliant words or phrases in the non-compliant segment are deleted.
[0031] It should be noted that the above examples are only for explaining the present invention and cannot limit the protection scope of the present invention. Example 2
[0032] This embodiment provides a computer-readable storage medium, including: The storage medium is used to store computer software instructions used to implement the content automated review method described in the above-mentioned embodiment 1, which includes instructions for executing the above-mentioned program set for the content automated review method; specifically, the executable program can be built into the electronic device described in embodiment 3, so that the electronic device can implement the content automated review method described in embodiment 1 by executing the built-in executable program.
[0033] In addition, the computer-readable storage medium of this embodiment may adopt any combination of one or more computer-readable storage media, wherein the computer-readable storage medium includes electrical, optical, electromagnetic, infrared or semiconductor systems, devices or components, or any combination thereof. Example 3
[0034] This embodiment provides an electronic device, such as Figure 2 As shown, the electronic device may include: a processor 1501 , a communication interface 1502 , a memory 1503 and a communication bus 1504 , wherein the processor 1501 , the communication interface 1502 , and the memory 1503 communicate with each other via the communication bus 1504 .
[0035] Memory 1503, used for storing computer programs; The processor 1501 is used to implement the steps of the automatic content review method described in the above-mentioned embodiment 1 when executing the computer program stored in the memory 1503.
[0036] As an embodiment of the present invention, the communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0037] As an implementation mode of the present invention, the communication interface is used for communication between the above-mentioned terminal and other devices.
[0038] As an embodiment of the present invention, the memory may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.
[0039] As an embodiment of the present invention, the above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
[0040] Different from the existing technology, the present application adopts a content automatic review method, equipment and medium, which can automatically review the text content when the content is published, and automatically mark the non-compliant parts, with high review accuracy and efficiency, and reduce the cost of manual review.
[0041] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.
[0042] It should also be understood that in the embodiments of this article, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0043] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this article.
[0044] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0045] In the several embodiments provided herein, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.
[0046] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of this article.
[0047] In addition, each functional unit in each embodiment of this invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.
[0048] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0049] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A method for automatic content review, characterized in that: The following steps are involved: Content analysis steps: Confirm the content to be published, perform text preprocessing and semantic analysis on the content to be published, and obtain non-compliant fragments; Results display steps: The non-compliant segments are marked and displayed.
2. The method for automatic content review according to claim 1, characterized in that: The text preprocessing includes: Processing the content to be published by using a text segmentation operation and a part-of-speech tagging operation to obtain content to be identified; Extract basic review fragments based on the content to be identified.
3. The method for automatic content review according to claim 2, characterized in that: The extracting of basic audit fragments based on the content to be identified includes: A deep learning model is used to extract non-compliant content from the content to be identified as a basic review fragment based on sensitive word matching and entity recognition.
4. The method for automatic content review according to claim 1, characterized in that: The semantic analysis process includes: Performing semantic understanding and sentiment analysis on the basic review fragments; Based on the results of the semantic understanding processing and sentiment analysis processing, determine whether the basic audit fragment is compliant.
5. The method for automatic content review according to claim 4, characterized in that: The judging whether the basic audit segment is compliant based on the results of the semantic understanding processing and the sentiment analysis processing includes: Based on the semantic understanding process and the sentiment analysis process, the recognition correctness in the basic review segment will be confirmed; The basic audit segment that does not meet the correctness is regarded as the non-compliant segment.
6. The method for automatic content review according to claim 1, characterized in that: The marking and displaying of the non-compliant fragments includes: The corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed with a highlight effect.
7. The method for automatic content review according to claim 1, characterized in that: The marking and displaying of the non-compliant segments further includes: The corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed with underlines.
8. The method for automatic content review according to claim 1, characterized in that: The content automatic review method further includes: After the corresponding non-compliant words or phrases in the non-compliant segment are marked and displayed, determining whether the non-compliant words or phrases are adjusted; If not adjusted, the corresponding non-compliant words or phrases in the non-compliant segment are deleted.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the content automatic review method described in any one of claims 1 to 8 are implemented.
10. A computer device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the content automatic review method described in any one of claims 1 to 8 by running the program stored in the memory.