CN111586421A - Method, system and storage medium for auditing live broadcast platform information - Google Patents
Method, system and storage medium for auditing live broadcast platform information Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims abstract description 31
- 238000012552 review Methods 0.000 claims abstract description 14
- 238000012216 screening Methods 0.000 claims abstract description 14
- 238000012550 audit Methods 0.000 claims abstract description 9
- 230000005477 standard model Effects 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 5
- 230000009191 jumping Effects 0.000 claims description 3
- 238000005538 encapsulation Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 208000001613 Gambling Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 239000002574 poison Substances 0.000 description 1
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- 238000007789 sealing Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3343—Query execution using phonetics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
- H04N21/440236—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display by media transcoding, e.g. video is transformed into a slideshow of still pictures, audio is converted into text
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
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Abstract
The invention discloses a method, a system and a storage medium for auditing live broadcast platform information, wherein the auditing method comprises the following steps: s1: intercepting voice text and character text output by a main broadcasting user at a live broadcasting client; s2: converting the voice text obtained in the step S1 into a conversion text, wherein the conversion text is in a character format; s3: performing sensitive word matching on the converted text and the text to obtain a sensitive word value; s4: screening the sensitive word values obtained in the S3 to generate auditing values; s5: and forming a pre-review text by the audit value obtained in the step S4 and outputting the pre-review text to the administrator client. The method and the system can greatly reduce the workload of the administrator on the live broadcast platform, reduce the misoperation of the administrator and avoid the condition of releasing bad information on the live broadcast platform.
Description
Technical Field
The invention belongs to the technical field of Internet live broadcast, and particularly relates to a live broadcast platform information auditing method, a live broadcast platform information auditing system for realizing the method and a storage medium.
Background
Live webcasting is an emerging social networking approach. The anchor uses tools such as a camera to carry out live video on the live broadcast platform. With the continuous popularization of internet live broadcast. Many olfactory sensitive merchants have begun to use live broadcast platforms to promote online products to match online one-to-one sales. In order to better publicize and sell commodities, users who reside in the platform often publish a large amount of commodity information on the platform, and the quantity of commodity information published by the platform every day is more and more. In order to avoid illegal users from trying to release some unhealthy information (such as merchandise information related to yellow, poison, gambling, violence, etc.) which violates national regulations, the platform needs to perform some audit on the information released by the anchor in the live broadcast process. The existing network live broadcast is generally realized by combining a commission administrator with the supervision and reporting of the masses. The supervision mode causes that the workload of an administrator is large, carelessness is easy to occur, and the administrator is not suitable for processing the live broadcast platform with a large number of live broadcast rooms. Therefore, how to develop a new method for auditing live broadcast platform information to overcome the above problems is a direction that needs to be studied by those skilled in the art.
Disclosure of Invention
The invention aims to provide a live broadcast platform information auditing method which can greatly reduce the workload of an administrator on a live broadcast platform and prevent the situation that bad information is issued on the live broadcast platform.
The technical scheme is as follows:
a live broadcast platform information auditing method comprises the following steps: s1: intercepting voice text and character text output by a main broadcasting user at a live broadcasting client; s2: converting the voice text obtained in the step S1 into a conversion text, wherein the conversion text is in a character format; s3: performing sensitive word matching on the converted text and the text to obtain a sensitive word value; s4: screening the sensitive word values obtained in the S3 to generate auditing values; s5: and forming a pre-review text by the audit value obtained in the step S4 and outputting the pre-review text to the administrator client.
Preferably, in the live platform information auditing method, step S2 includes: s21: detecting the language type of the voice text obtained in the S1; s22: acquiring a voice standard model matched with the language type, and processing the voice text based on the voice standard model to generate a standard voice text; s23: and acquiring a voice conversion text model matched with the language type, and processing the standardized voice information based on the voice conversion model to convert the standardized voice information into a conversion text.
More preferably, in the live platform information auditing method, step S3 includes: s31: matching the converted text with a pre-stored sensitive word list to obtain the number of sensitive words appearing in the converted text; s32: matching the text with a pre-stored sensitive word list to obtain the number of sensitive words appearing in the text; s33: and accumulating the sensitive word number obtained in the step S31 and the sensitive word number obtained in the step S32, wherein the accumulated value is the sensitive word value.
Further preferably, in the live platform information auditing method, step S4 includes: s41: comparing the sensitive word value with a pre-stored sensitive word threshold value, and if the sensitive word value is greater than the sensitive threshold value, jumping to S42; s42: and temporarily storing the sensitive word value and taking the sensitive word value as an auditing value.
In order to realize the live broadcast platform information auditing method, the invention also discloses a live broadcast platform information auditing system. It includes: the system comprises an acquisition module, a detection module, a standard module, a conversion module, a comparison module, a screening module, a notification module, a reporting module and an administrator client; the acquisition module is used for intercepting voice texts and character texts output by a live client; the detection module is used for detecting the language type of the voice text; the standard module is used for acquiring a voice standard model matched with the language type and converting the voice text into a standard voice text based on the voice standard model; the conversion module is used for acquiring a voice conversion model matched with the language type and converting the standard voice text into a conversion text in a character format based on the voice conversion model; the comparison module is prestored with a sensitive word list and used for matching sensitive words of the converted text and the text to obtain a sensitive word value; the screening module is prestored with a sensitive word threshold and is used for screening out a sensitive word value higher than the sensitive word threshold as an auditing value; the notification module is used for generating a pre-audit text from the audit value and outputting the pre-audit text to the administrator client; the reporting module is used for receiving reporting information and forwarding the reporting information to the administrator client; the administrator client is used for realizing login access of an administrator.
In order to implement the method for auditing the information of the live broadcast platform, the invention also discloses a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the method is characterized in that: the computer program realizes the live broadcast platform information auditing method when being executed.
By adopting the technical scheme: and respectively filtering the voice text and the character text according to a special play mode of the live broadcast platform. Specifically, the method comprises the following steps: by converting the voice text into a text format and carrying out text detection based on sensitive word filtering together with the text, junk words and sensitive words such as pornography, advertisements, politics and violence are efficiently filtered. Meanwhile, after the user is matched with the report module to feed back the administrator, the administrator decides and manages the comprehensive pretrial text, rechecks whether the violation phenomenon exists or not, and performs corresponding closing of the live broadcast room, banning of the words and even number sealing treatment on the checked result.
Compared with the prior art, the method and the system can greatly reduce the workload of the administrator on the live broadcast platform and prevent the condition of releasing bad information on the live broadcast platform.
Drawings
The invention is described in further detail in the following description of embodiments with reference to the accompanying drawings:
FIG. 1 is a schematic flow chart of example 1 of the present invention;
FIG. 2 is a schematic structural view of embodiment 1 of the present invention;
the corresponding relation between each reference mark and the part name is as follows:
1. an acquisition module; 2. a detection module; 3. a standard module; 4. a conversion module; 5. a comparison module; 6. a screening module; 7. a notification module; 8. a reporting module; 9. an administrator client.
Detailed Description
In order to more clearly illustrate the technical solution of the present invention, the above description will be further described with reference to various embodiments. A
As shown in fig. 1-2:
a live platform information auditing system, comprising: the system comprises an acquisition module 1, a detection module 2, a standard module 3, a conversion module 4, a comparison module 5, a screening module 6, a notification module 7, a reporting module 8 and an administrator client 9.
The acquisition module 1 is used for intercepting a voice text and a character text output by a live client; the detection module 2 is used for detecting the language type of the voice text; the standard module 3 is used for acquiring a voice standard model matched with the language type and converting the voice text into a standard voice text based on the voice standard model; the conversion module 4 is used for acquiring a voice conversion model matched with the language type and converting the standard voice text into a conversion text in a character format based on the voice conversion model; the comparison module 5 is prestored with a sensitive word list and used for performing sensitive word matching on the converted text and the text and acquiring a sensitive word value; the screening module 6 is prestored with a sensitive word threshold and is used for screening out a sensitive word value higher than the sensitive word threshold as an audit value; the notification module 7 is configured to generate a pre-review text from the review value and output the pre-review text to the administrator client 9; the reporting module 8 is configured to receive reporting information and forward the reporting information to the administrator client 9.
In practice, the working process is as follows:
s1: intercepting voice text and character text output by a main broadcasting user at a live broadcasting client;
s2: converting the voice text obtained in the step S1 into a converted text, wherein the converted text is in a character format:
s21: detecting the language type of the voice text obtained in the S1;
s22: acquiring a voice standard model matched with the language type, and processing the voice text based on the voice standard model to generate a standard voice text;
s23: acquiring a voice conversion text model matched with the language type, and processing the standardized voice information based on the voice conversion model to convert the standardized voice information into a conversion text;
s3: performing sensitive word matching on the converted text and the text to obtain a sensitive word value:
s31: matching the converted text with a pre-stored sensitive word list to obtain the number of sensitive words appearing in the converted text;
s32: matching the text with a pre-stored sensitive word list to obtain the number of sensitive words appearing in the text;
s33: and accumulating the sensitive word number obtained in the step S31 and the sensitive word number obtained in the step S32, wherein the accumulated value is the sensitive word value.
S4: screening the sensitive word values obtained in the step S3 to generate auditing values:
s41: comparing the sensitive word value with a pre-stored sensitive word threshold value, and if the sensitive word value is greater than the sensitive threshold value, jumping to S42;
s42: and temporarily storing the sensitive word value and taking the sensitive word value as an auditing value.
S5: and forming a pre-review text by the audit value obtained in the step S4 and outputting the pre-review text to the administrator client.
In this embodiment: the sensitive word list may include a plurality of different types of sub-lists, each for a respective different type of offending word. For example, the encapsulation class of confusion sublist may be used to aggregate the encapsulation class of violation words; the politically sensitive class sublist can be used for collecting politically sensitive violation words; the sub-list of abuse classes can be used to aggregate the abuse-like offending words, and so on. When the word in any one of the sub-lists is hit in the text or the converted text, the text or the converted text can be considered to be matched with the sensitive word of the corresponding type. For each sublist, different hit conditions may be set. For example, the hit condition of the sealed confusing class sublist may be that a word in the sealed confusing class sublist appears in the text or the converted text once, that is, the word is a matching sealed confusing class sensitive word; the matching condition for the sub-list of abuse types may be three times the words in the textual text or converted text that include the sub-list of abuse types, i.e., matching abuse-sensitive words.
The above description is only an embodiment of the present invention, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention. The protection scope of the present invention is subject to the protection scope of the claims. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (6)
1. A live broadcast platform information auditing method is characterized by comprising the following steps:
s1: intercepting voice text and character text output by a main broadcasting user at a live broadcasting client;
s2: converting the voice text obtained in the step S1 into a conversion text, wherein the conversion text is in a character format;
s3: performing sensitive word matching on the converted text and the text to obtain a sensitive word value;
s4: screening the sensitive word values obtained in the S3 to generate auditing values;
s5: and forming a pre-review text by the audit value obtained in the step S4 and outputting the pre-review text to the administrator client.
2. The live platform information auditing method of claim 1, step S2 including:
s21: detecting the language type of the voice text obtained in the S1;
s22: acquiring a voice standard model matched with the language type, and processing the voice text based on the voice standard model to generate a standard voice text;
s23: and acquiring a voice conversion text model matched with the language type, and processing the standardized voice information based on the voice conversion model to convert the standardized voice information into a conversion text.
3. The live platform information auditing method of claim 2, step S3 including:
s31: matching the converted text with a pre-stored sensitive word list to obtain the number of sensitive words appearing in the converted text;
s32: matching the text with a pre-stored sensitive word list to obtain the number of sensitive words appearing in the text;
s33: and accumulating the sensitive word number obtained in the step S31 and the sensitive word number obtained in the step S32, wherein the accumulated value is the sensitive word value.
4. The live platform information auditing method of claim 2, step S4 including:
s41: comparing the sensitive word value with a pre-stored sensitive word threshold value, and if the sensitive word value is greater than the sensitive threshold value, jumping to S42;
s42: and temporarily storing the sensitive word value and taking the sensitive word value as an auditing value.
5. The utility model provides a live platform information auditing system which characterized in that includes: the system comprises an acquisition module (1), a detection module (2), a standard module (3), a conversion module (4), a comparison module (5), a screening module (6), a notification module (7), a reporting module (8) and an administrator client (9);
the acquisition module (1) is used for intercepting voice texts and character texts output by a live client; the detection module (2) is used for detecting the language type of the voice text; the standard module (3) is used for acquiring a voice standard model matched with the language type and converting the voice text into a standard voice text based on the voice standard model; the conversion module (4) is used for acquiring a voice conversion model matched with the language type and converting the standard voice text into a conversion text in a character format based on the voice conversion model; the comparison module (5) is prestored with a sensitive word list and is used for matching sensitive words of the converted text and the text and acquiring a sensitive word value; the screening module (6) is prestored with a sensitive word threshold value and is used for screening out a sensitive word value higher than the sensitive word threshold value as an auditing value; the notification module (7) is used for generating a pre-review text from the review value and outputting the pre-review text to the administrator client (9); the reporting module (8) is used for receiving the reporting information and forwarding the reporting information to the administrator client (9).
6. A computer-readable storage medium having a computer program stored therein, the computer program comprising: the computer program, when executed, implements a live platform information auditing method according to any one of claims 1-4.
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| CN112634071A (en) * | 2021-01-12 | 2021-04-09 | 武汉天源迪科数据科技有限公司 | Community management system based on Internet |
| CN112911321A (en) * | 2021-01-22 | 2021-06-04 | 上海七牛信息技术有限公司 | Real Time Clock (RTC) -based audio and video live broadcast control method and system |
| CN112995696A (en) * | 2021-04-20 | 2021-06-18 | 共道网络科技有限公司 | Live broadcast room violation detection method and device |
| CN113163225A (en) * | 2021-05-20 | 2021-07-23 | 广州方硅信息技术有限公司 | Method, device, equipment and medium for checking and outputting character special effect information through transport |
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| CN115456589A (en) * | 2022-09-19 | 2022-12-09 | 国网河南省电力公司信息通信公司 | Contract auditing method and device based on deep learning |
| CN114666618B (en) * | 2022-03-15 | 2023-10-13 | 广州欢城文化传媒有限公司 | Audio auditing method, device, equipment and readable storage medium |
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| CN112911321A (en) * | 2021-01-22 | 2021-06-04 | 上海七牛信息技术有限公司 | Real Time Clock (RTC) -based audio and video live broadcast control method and system |
| CN112995696A (en) * | 2021-04-20 | 2021-06-18 | 共道网络科技有限公司 | Live broadcast room violation detection method and device |
| CN112995696B (en) * | 2021-04-20 | 2022-01-25 | 共道网络科技有限公司 | Live broadcast room violation detection method and device |
| CN113163225A (en) * | 2021-05-20 | 2021-07-23 | 广州方硅信息技术有限公司 | Method, device, equipment and medium for checking and outputting character special effect information through transport |
| CN113163225B (en) * | 2021-05-20 | 2022-05-06 | 广州方硅信息技术有限公司 | Method, device, equipment and medium for checking and outputting character special effect information through transport |
| CN113949887A (en) * | 2021-09-24 | 2022-01-18 | 支付宝(杭州)信息技术有限公司 | Method and device for processing network live broadcast data |
| CN114339292A (en) * | 2021-12-31 | 2022-04-12 | 安徽听见科技有限公司 | Method, device, storage medium and equipment for auditing and intervening live stream |
| CN114666618B (en) * | 2022-03-15 | 2023-10-13 | 广州欢城文化传媒有限公司 | Audio auditing method, device, equipment and readable storage medium |
| CN115209174A (en) * | 2022-07-18 | 2022-10-18 | 忆月启函(盐城)科技有限公司 | Audio processing method and system |
| CN115209174B (en) * | 2022-07-18 | 2023-12-01 | 深圳时代鑫华科技有限公司 | Audio processing method and system |
| CN115456589A (en) * | 2022-09-19 | 2022-12-09 | 国网河南省电力公司信息通信公司 | Contract auditing method and device based on deep learning |
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Application publication date: 20200825 |