CN115660378A - Method and device for auditing data - Google Patents
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Abstract
The application discloses a method for auditing data, which comprises the steps of obtaining text data to be audited, transferring the text data to be audited to an audition channel if video information associated with the text data to be audited contains an audition keyword, receiving an audit result from the audition channel, displaying the text data if the audit result indicates that the audit is passed, inputting a key word by adding the audition keyword, wherein the key word can cover a key video of which the video information contains the audition keyword, the key video of which the video information contains the audition keyword can be audited, the labor cost is reduced, and the input efficiency is improved. The application also discloses a device for auditing the data, which comprises an acquisition unit, a transfer unit, a receiving unit and a display unit.
Description
Technical Field
The present application relates to the field of data, and in particular, to a method and an apparatus for auditing data.
Background
In order to purify the network environment and suppress the occurrence of inappropriate speech, the video platform is required to audit the interactive content of the video. And the interactive content under the key video such as red classical movie and television dramas, documentaries and related videos of some hot characters has high risk of inappropriate speech, and the interactive content of the key video needs to be independently audited.
In the prior art, the video identification of the key video is manually input, and all interactive contents under the input video identification are independently audited.
When the method is adopted, the workload of a user is large, and the recording efficiency is low.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for auditing data, so as to achieve the purpose of improving the entry efficiency.
The method for auditing data provided by the application is realized as follows:
acquiring text data to be audited;
if the video information related to the text data to be audited contains a special audit keyword, transferring the text data to be audited to a special audit channel;
receiving an auditing result from the special auditing channel;
and if the audit result indicates that the audit is passed, displaying the text data which are passed through the audit.
Optionally, before the text data to be reviewed is transferred to the review channel, the method further includes: and determining that the video identification associated with the text data to be audited is not in a blacklist, wherein the blacklist is a set of pre-recorded video identifications without special audit.
Optionally, before the text data to be reviewed is transferred to the review channel, the method further includes: and determining that the video identification associated with the text data to be audited is in a white list, wherein the white list is a set of pre-recorded video identifications needing to be audited.
Optionally, after the text data to be reviewed is transferred to the review channel, the method further includes: receiving a failure processing instruction, wherein the failure processing instruction indicates a video identifier which has entered a professional review channel and does not need professional review; and responding to the failure processing instruction, and adding the video identification which enters the special review channel and does not need special review to the blacklist.
Optionally, the acquiring text data to be audited includes: and acquiring text data to be audited from the message queue.
Optionally, the text data to be audited includes: comments on the video, barrage, and reasons for forwarding.
Optionally, the video information associated with the text data to be audited includes: title, label and brief description of the video.
The application also provides a device for auditing data, comprising: the system comprises an acquisition unit, a transfer unit, a receiving unit and a display unit;
the acquisition unit is used for acquiring text data to be audited;
the transfer unit is used for transferring the text data to be audited to the special audit channel;
the receiving unit is used for receiving the auditing result from the special auditing channel;
the receiving unit is also used for receiving a failure processing instruction;
and the display unit is used for receiving the auditing result of the special auditing channel and displaying the text data which passes the auditing.
Optionally, the apparatus further comprises: an adding unit;
and the adding unit is used for adding the video identification which enters the special review channel and does not need special review to a blacklist, and the blacklist is a set of pre-recorded video identifications which do not need special review.
The present application further provides a computer device, the computer device comprising: the system includes a processor coupled to a memory, the memory having stored therein at least one computer program instruction, the at least one computer program instruction loaded and executed by the processor to cause a computer device to implement a method of auditing data.
Therefore, the beneficial effects of the application are: the method comprises the steps of obtaining text data to be audited, transferring the text data to be audited to an audition channel if video information related to the text data to be audited contains an audition key word, receiving an audition result from the audition channel, displaying the text data if the audition result indicates that the audition is passed, inputting a key word to cover a key video of which the video information contains the audition key word by increasing the entry of the audition key word, auditing the key video of which the video information contains the audition key word, reducing labor cost and improving entry efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only the embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a first embodiment of the present application;
FIG. 2 is a flow chart of a second embodiment of the present application;
FIG. 3 is a flow chart of a third embodiment of the present application;
FIG. 4 is a schematic view of an apparatus of the present application;
fig. 5 is a schematic diagram of a computer device of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The inventor finds that the method for inputting the video identification of the key video in the prior art cannot predict the video uploaded by some users in advance and input the video in advance, so that the condition that interactive content text data under the video which is not input is missed to be audited is caused.
In embodiments of the present application, the device for auditing data may include, but is not limited to, a computer device.
The computer device may include: a processor coupled to a memory, the memory having stored therein at least one computer program instruction, the at least one computer program instruction loaded and executed by the processor to cause a computer device to implement a method of auditing data.
Referring to fig. 1, the first embodiment of the present application includes the following specific steps:
s101: and the computer acquires the text data to be audited.
And the text data to be audited is interactive content which is sent by a video platform user and is related to the key video.
The text data to be reviewed includes, but is not limited to: emphasis on video comments, barrage, and reasons for forwarding.
In some implementation manners, a user publishes text data under a video of a service end, the service end publishes the text data to be audited to a message queue, and an auditing system acquires the text data to be audited from the message queue. By adding the message queue middleware, data can be directly sent to the message queue for a data user to directly acquire the data in the message queue when required, and the effects of application coupling, asynchronous messages and traffic cutting can be achieved.
S102: and if the video information related to the text data to be audited contains the special audit keywords, the computer transfers the text data to be audited to a special audit channel.
The video information associated with the text data to be reviewed includes, but is not limited to: emphasis is given to the title, label and brief description of the video.
The special review keywords are used for determining whether the text data to be reviewed need to be reviewed independently or not, and words with high video information frequency of key videos can be selected. For example, all words appearing in the video information of the highlight video are sorted in the order from high appearance frequency to low appearance frequency, and the word with the highest appearance frequency is selected as a special review keyword; or selecting the vocabulary with the frequency of occurrence arranged in the front and the number of the positions as the special examination keywords. The special review keywords can be set differently according to different key videos to be reviewed, one or more special review keywords can be set, and the content and the number of the special review keywords can be set according to the actual review requirements.
The special review channel is a channel for carrying out special review on interactive contents of the highlight videos and can contain various text data to be reviewed.
In some implementations, if the video information associated with the text data to be reviewed includes a secondary review keyword, the computer transfers the text data to be reviewed to a secondary review channel via the transformation channel processor.
In other implementation manners, if the video information associated with the text data to be audited does not contain the trial keywords, the computer retains the text data to be audited in the original audit channel.
S103: and the computer receives the auditing result from the special review channel.
The auditing result from the special auditing channel can be judged by manual auditing, and the text data to be audited in the special auditing channel can be audited by artificial intelligence or other means capable of realizing special auditing.
In some implementations, the computer receives review results from both the review channel and the proof channel.
S104: and if the audit result indicates that the audit is passed, the computer displays the text data which are passed through the audit.
In some implementation manners, if the audit result indicates that the audit does not pass, the computer does not display the text data, and accumulates the times of the non-standard phrases for the user indicated by the text data, and when the times are accumulated to the set times, limits the interaction function of the user indicated by the text data, or performs number sealing processing on the user account.
In the first embodiment of the application, by adding the entry of the special review keywords, one key word is entered to cover the key video of which the video information contains the special review keywords, and the key video of which the video information contains the special review keywords can be reviewed, so that the labor cost is reduced, and the entry efficiency is improved.
Since the video information of part of the key videos does not contain the special review keywords with high occurrence frequency, the second embodiment of the present application adds verification to the white list.
Referring to fig. 2, the second embodiment of the present application includes the following specific steps:
s201: and the computer acquires the text data to be audited.
S202: and the computer determines that the video identification associated with the text data to be audited is not in the white list.
And the video identification associated with the text data to be audited is a video identification (video id) in a video information table of the video database.
The white list is a set of pre-recorded video identifications needing to be exclusively reviewed, and can be video identifications of partial key videos not containing exclusively reviewed keywords with high occurrence frequency or other video identifications added according to actual requirements.
In some implementations, if the video identifier associated with the text data is in the white list, the steps of S203 are not executed, and the steps of S204-S206 are directly executed.
S203: and the computer determines that the video information associated with the text data to be audited contains the special audit keywords.
In some implementation manners, if the video identifier associated with the text data to be audited is not in the white list and the video information associated with the text data to be audited does not include the special auditing keyword, the text data to be audited is retained in the original auditing channel, and the text data is processed according to the auditing result of the original auditing channel without executing the following steps of S204-S206.
In other implementation manners, if the video information associated with the text data to be reviewed does not include the trial keywords, the steps S204-S206 are executed if the computer determines that the video identifier associated with the text data is not in the white list.
S204: and the computer transfers the text data to be audited to the special audit channel.
S205: and the computer receives the auditing result from the special review channel.
S206: and if the audit result indicates that the audit is passed, the computer displays the text data which are passed through the audit.
It can be understood that a step of adding the video identifier of the non-key video which enters the professional review channel due to the fact that the video information contains the professional review keyword into a blacklist can be added, and the problem of mismatching is optimized.
In the second embodiment of the application, by adding the step of determining the white list, text data to be reviewed in a part of key videos which do not contain frequent review keywords can be transferred to a review channel, so that the content to be reviewed can be screened and reviewed more comprehensively.
Since the addition of the trial keywords may cause a non-emphasized video covering that the video information includes the trial keywords, the third embodiment of the present application describes how to process a non-emphasized video that is mismatched.
Referring to fig. 3, the third embodiment of the present application includes the following specific steps:
s301: and the computer acquires the text data to be audited from the message queue.
S302: if the computer determines that the video identifier associated with the text data to be audited is not in the blacklist, executing S303-S307; and if the computer determines that the video identifier associated with the text data to be audited is in the blacklist, the text data to be audited is reserved in the original audit channel.
The blacklist is a video identification set of non-key videos which are found in the review channel and are wrongly matched with the review keywords.
In some implementations, the blacklist can also add unaffiliated video identifications according to actual needs.
S303: if the computer determines that the video information associated with the text data to be audited contains the special audit keyword, executing S305-S307; and if the computer determines that the video information associated with the text data to be audited does not contain the special audit keyword, executing S304-S307.
S304: if the computer determines that the video identifier associated with the text data to be audited is in the white list, executing S305-S307; and if the computer determines that the video identification associated with the text data to be audited is not in the white list, the text data to be audited is reserved in the original audit channel.
In some implementations, S303 includes: if the computer determines that the video identifier associated with the text data to be audited is in the white list, executing S305-S307; and if the computer determines that the video identification associated with the text data to be audited is not in the white list, executing S304-S307. S304 includes: if the computer determines that the video information associated with the text data to be audited contains the special audit keyword, executing S305-S307; and if the computer determines that the video information associated with the text data to be audited does not contain the special audit keyword, the text data to be audited is reserved in the original audit channel.
S305: and the computer transfers the text data to be audited to the special audit channel.
S306: the computer receives the auditing results from the special auditing channel and the original auditing channel.
S307: if the audit result indicates that the audit is passed, the computer displays the text data which are passed through the audit; and if the audit result indicates that the audit is not passed, the computer does not display the text data.
S308: and the computer receives a failure processing instruction, wherein the failure processing instruction indicates the video identification which enters the special review channel and does not need special review.
And the video identification which enters the professional review channel and does not need the professional review is the video identification of the non-key video of which the video information contains the professional review keywords.
S309: and the computer responds to the failure processing instruction and adds the video identification which enters the professional review channel and does not need the professional review to the blacklist.
In the third embodiment of the application, by adding the blacklist, whether the video identifier associated with the text data to be audited is in the blacklist is determined, and if the video identifier associated with the text data to be audited is in the blacklist, the program is directly ended, so that steps are saved; the video identification of the non-key video which is matched by mistake can be added into the blacklist, and the error correction is carried out on the non-key video which enters the special examination channel because the video information contains special examination keywords, so that the non-key video does not enter the special examination channel again, and the mismatching rate of the key video can be reduced.
The present application further provides an apparatus 400 for auditing data, comprising: an acquisition unit 401, a transfer unit 402, a receiving unit 403 and a presentation unit 404.
The acquisition unit 401: for obtaining text data.
The transfer unit 402: for transferring the text data to a patent review channel.
The receiving unit 403: and the system is used for receiving the auditing result from the special auditing channel.
Optionally, the receiving unit is further configured to receive a failure handling instruction.
The display unit 404: and the system is used for receiving the auditing result of the special auditing channel and displaying the text data which passes the auditing.
Optionally, an apparatus 400 for auditing data further comprises: an adding unit 405.
An adding unit 405: the video identification adding device is used for adding the video identification which enters the professional review channel and does not need the professional review to a blacklist, and the blacklist is a pre-recorded set of the video identification which does not need the professional review.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
It should be noted that: in the apparatus for auditing data according to the foregoing embodiment, when the function of auditing data is implemented, only the division of the functional modules is used for illustration, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of an apparatus for auditing data is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the apparatus for auditing data and the method for auditing data provided by the above embodiments belong to the same concept, and the specific implementation process thereof is described in detail in the method embodiments, and is not described herein again.
Fig. 5 is a schematic structural diagram of a computer device 500 according to an embodiment of the present application.
The computer device 500 includes at least one processor 501, memory 502, and at least one network interface 503.
The processor 501 is, for example, a Central Processing Unit (CPU), a Network Processor (NP), a Graphics Processing Unit (GPU), a neural-Network Processing Unit (NPU), a Data Processing Unit (DPU), a microprocessor, or one or more integrated circuits for implementing the present disclosure. For example, the processor 501 includes an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. PLDs are, for example, complex Programmable Logic Devices (CPLDs), field-programmable gate arrays (FPGAs), general Array Logic (GAL), or any combination thereof.
The Memory 502 is, for example, but not limited to, a read-only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only Memory (EEPROM), a compact disc read-only Memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), a magnetic disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Optionally, the memory 502 is separate and coupled to the processor 501 through an internal connection 504. Alternatively, the memory 502 and the processor 501 are optionally integrated.
The network interface 503 uses any transceiver or the like for communicating with other devices or a communication network. The network interface 503 includes, for example, at least one of a wired network interface or a wireless network interface. The wired network interface is, for example, an ethernet interface. The ethernet interface is for example an optical interface, an electrical interface or a combination thereof. The wireless network interface is, for example, a Wireless Local Area Network (WLAN) interface, a cellular network interface, or a combination thereof.
In some embodiments, processor 501 includes one or more CPUs, such as CPU0 and CPU1 shown in FIG. 5.
In some embodiments, computer device 500 optionally includes multiple processors, such as processor 501 and processor 505 shown in fig. 5. Each of these processors is, for example, a single-core processor (single-CPU) or, for example, a multi-core processor (multi-CPU). A processor herein may alternatively refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
In some embodiments, computer device 500 also includes internal connections 504. The processor 501, the memory 502 and the at least one network interface 503 are connected by an internal connection 504. Internal connections 504 include pathways that convey information between the aforementioned components. Optionally, internal connection 504 is a single board or bus. Alternatively, the internal connections 504 are divided into address buses, data buses, control buses, and the like.
In some embodiments, computer device 500 also includes input-output interface 506. The input output interface 506 is connected to the internal connection 504.
In some embodiments, the input/output interface 506 is used for connecting with an input device, and receiving commands or data related to the above embodiments inputted by a user through the input device. Input devices include, but are not limited to, a keyboard, a touch screen, a microphone, a mouse or sensing device, and the like.
In some embodiments, the input-output interface 506 is also used to connect with output devices. The input/output interface 506 outputs intermediate results and/or final results generated by the processor 501 executing the above-described method embodiments via an output device. Output devices include, but are not limited to, a display, a printer, a projector, and the like.
Alternatively, the processor 501 may implement the method in the above embodiment by reading the program code stored in the memory 502, or the processor 501 may implement the method in the above embodiment by internally storing the program code. In the case where the processor 501 implements the method in the above-described embodiment by reading the program code stored in the memory 502, the program code 510 implementing the method provided by the embodiment of the present application is stored in the memory 502.
For more details of the processor 501 to implement the above functions, reference is made to the description of the foregoing method embodiments, and the description is not repeated here.
Finally, it should also be 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 phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of auditing data, the method comprising:
acquiring text data to be audited;
if the video information related to the text data to be audited contains a special audit keyword, transferring the text data to be audited to a special audit channel;
receiving an auditing result from the special review channel;
and if the audit result indicates that the audit is passed, displaying the text data which is passed through the audit.
2. The method according to claim 1, wherein before transferring the text data to be reviewed to a trial channel, further comprising:
and determining that the video identification associated with the text data to be audited is not in a blacklist, wherein the blacklist is a set of pre-recorded video identifications without special audit.
3. The method according to claim 2, wherein before transferring the text data to be reviewed to a review channel, further comprising:
and determining that the video identification associated with the text data to be audited is in a white list, wherein the white list is a pre-recorded set of video identifications needing special audit.
4. The method according to any one of claims 2-3, wherein after transferring the text data to be reviewed to a review channel, further comprising:
receiving a failure processing instruction, wherein the failure processing instruction indicates a video identifier which enters the special review channel and does not need special review;
and responding to the failure processing instruction, and adding the video identification which enters the special review channel and does not need special review to the blacklist.
5. The method according to any one of claims 1 to 3, wherein the obtaining text data to be reviewed includes:
and acquiring the text data to be audited from the message queue.
6. A method according to any one of claims 1-3, wherein the text data to be reviewed includes:
comments on the video, barrage, and reason for forwarding.
7. The method according to any one of claims 1 to 3, wherein the video information associated with the text data to be audited comprises:
title, label and brief description of the video.
8. An apparatus for auditing data, the apparatus comprising: the system comprises an acquisition unit, a transfer unit, a receiving unit and a display unit;
the acquisition unit is used for acquiring text data to be audited;
the transfer unit is used for transferring the text data to be audited to a special audit channel;
the receiving unit is used for receiving the auditing result from the special auditing channel;
the receiving unit is also used for receiving a failure processing instruction;
and the display unit is used for displaying the text data which passes the examination and verification.
9. The apparatus of claim 8, further comprising:
and the adding unit is used for adding the video identification which has entered the professional review channel and does not need professional review to a blacklist, and the blacklist is a pre-recorded set of video identifications which do not need professional review.
10. A computer device, characterized in that the computer device comprises: a processor coupled with a memory having stored therein at least one computer program instruction that is loaded and executed by the processor to cause the computer device to implement the method of any of claims 1-7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101035280A (en) * | 2007-04-19 | 2007-09-12 | 鲍东山 | Classified content auditing terminal system |
| CN110322209A (en) * | 2018-03-30 | 2019-10-11 | 阿里巴巴集团控股有限公司 | Comment information processing method, device, system and storage medium |
| CN110418161A (en) * | 2019-08-02 | 2019-11-05 | 广州虎牙科技有限公司 | Video reviewing method and device, electronic equipment and readable storage medium storing program for executing |
| CN112464036A (en) * | 2020-11-24 | 2021-03-09 | 行吟信息科技(武汉)有限公司 | Method and device for auditing violation data |
| CN114357287A (en) * | 2021-12-27 | 2022-04-15 | 广州趣丸网络科技有限公司 | Intelligent auditing method and device for internet information |
| CN114896358A (en) * | 2022-05-11 | 2022-08-12 | 南通慧泉数据有限公司 | Method and device for capturing and identifying keywords of intellectual property database |
-
2022
- 2022-12-05 CN CN202211551374.3A patent/CN115660378A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101035280A (en) * | 2007-04-19 | 2007-09-12 | 鲍东山 | Classified content auditing terminal system |
| CN110322209A (en) * | 2018-03-30 | 2019-10-11 | 阿里巴巴集团控股有限公司 | Comment information processing method, device, system and storage medium |
| CN110418161A (en) * | 2019-08-02 | 2019-11-05 | 广州虎牙科技有限公司 | Video reviewing method and device, electronic equipment and readable storage medium storing program for executing |
| CN112464036A (en) * | 2020-11-24 | 2021-03-09 | 行吟信息科技(武汉)有限公司 | Method and device for auditing violation data |
| CN114357287A (en) * | 2021-12-27 | 2022-04-15 | 广州趣丸网络科技有限公司 | Intelligent auditing method and device for internet information |
| CN114896358A (en) * | 2022-05-11 | 2022-08-12 | 南通慧泉数据有限公司 | Method and device for capturing and identifying keywords of intellectual property database |
Non-Patent Citations (1)
| Title |
|---|
| 张建军;孙滔;孟方;: "通过人工智能实现内容智能审核及在世界杯的实战", 现代电视技术, no. 08 * |
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