CN115357680A - Comment information processing method, comment information processing system and computer-readable storage medium - Google Patents
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Abstract
The invention discloses a comment information processing method, a comment information processing system and a computer readable storage medium, wherein the comment information processing method comprises the following steps: when a volunteer column receives comment information, detecting whether a sensitive word index exists in the comment information; if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index; and when the similarity is greater than or equal to a preset similarity, judging that the comment information is not qualified, and deleting the comment information. The invention aims to improve the comment processing efficiency of volunteer columns.
Description
Technical Field
The present invention relates to the field of information processing, and in particular, to a comment information processing method and system, and a computer-readable storage medium.
Background
With the development of society and the popularization of knowledge, the volunteers can actively undertake social responsibility without obtaining reward, dedicate personal time and assist people in human-oriented activities more and more, serve social public utilities through volunteer projects participating in the organization of volunteer teams, and are often applied to the Internet. The volunteer team and the volunteer project can be publicized through the Internet, and the net friends can also comment on the volunteer team and the volunteer project, so that people who want to participate in the volunteer activities can know the content of the project better.
However, in the prior art, the processing of the comment information of the volunteer team and the volunteer project in the volunteer service project activities by relevant departments such as civil administration and the like consumes manpower and financial resources, so that the working efficiency of the comment processing of the volunteer column is not high.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a comment information processing method, a comment information processing system and a computer readable storage medium, and aims to create an active and healthy comment area environment, improve good communication experience, strictly manage comment information and clean bad content, and achieve the effect of improving comment processing efficiency of volunteers.
In order to achieve the above object, the present invention provides a comment information processing method, including:
when the volunteer column receives comment information, detecting whether sensitive word indexes exist in the comment information or not;
if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index;
and when the similarity is greater than or equal to the preset similarity, judging that the comment information is not qualified, and deleting the comment information.
Optionally, before detecting whether the sensitive word index exists in the comment information, the method further includes:
establishing a sensitive word database; the method comprises the steps of establishing a sensitive word index for a preset sensitive word in a sensitive word database;
and after receiving the updating data of the preset sensitive words, updating the sensitive word database according to the updating data, and establishing a sensitive word index for the updated preset sensitive words.
Optionally, after the step of determining the similarity between the comment content corresponding to the sensitive word index and the preset sensitive word corresponding to the sensitive word index, the method further includes:
when the similarity is smaller than the preset similarity, the comment information is sent to an auditing end;
receiving feedback information corresponding to the comment information sent by the auditing end;
and executing the operation of deleting the comment information or publishing the comment information according to the feedback information.
Optionally, after the step of detecting whether the sensitive word index exists in the comment information, the method further includes:
if the sensitive word index does not exist in the comment information, judging that the comment information is in compliance;
and issuing the comment information to a comment area of the volunteer column.
Optionally, after the step of issuing the comment information to the comment area of the volunteer column, the method further includes:
determining target comment information in the published comment information in the comment area;
acquiring reply information of the target comment information;
determining the comment type of the target comment information according to the reply information;
and determining to execute corresponding operation on the target comment information according to the comment type.
Optionally, the step of determining target comment information in the published comment information in the comment area includes:
obtaining published comment information in a comment area;
determining the number of reply messages of the comment messages;
and if the number is larger than the preset reply number, determining the comment information as the target comment information.
Optionally, the step of determining the comment type of the target comment information according to the reply information includes:
determining semantic content of the reply message;
determining the reply type of the reply information according to the semantic content;
determining the number of reply messages of the same reply type;
determining the target reply type according to the quantity;
and determining the comment type according to the target reply type.
Optionally, the comment types include: the method comprises the following steps of determining corresponding operation to target comment information according to comment types, namely high-quality comments, common comments, inferior comments and malicious comments, wherein the step of determining corresponding operation to the target comment information according to the comment types comprises the following steps:
if the comment type is a high-quality comment, carrying out top processing on the target comment information in a comment area and/or adding the target comment information into the selected comment for displaying;
if the comment type is an inferior comment, deleting the target comment information;
and if the comment type is a malicious comment, deleting the target comment information and marking an account corresponding to the target comment information.
In addition, in order to achieve the above object, the present invention also provides a comment information processing system including a memory, a processor, and a comment information processing program stored on the memory and executable on the processor, the comment information processing program implementing the steps of the comment information processing method as above when executed by the processor.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a comment information processing program which, when executed by a processor, realizes the steps of the comment information processing method as above.
The comment information processing method, the comment information processing system and the computer readable storage medium provided by the embodiment of the invention are characterized in that when a volunteer column receives comment information, whether a sensitive word index exists in the comment information is detected; if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index; and when the similarity is greater than or equal to the preset similarity, judging that the comment information is not qualified, and deleting the comment information. Therefore, before the comment information is published, the sensitive word index in the comment information is detected when the volunteer column receives the comment information, and corresponding operation is executed according to the comment content corresponding to the sensitive word index and the similarity of the preset sensitive word corresponding to the sensitive word index, so that the system can autonomously judge the comment information with the similarity of the sensitive word larger than the preset similarity and delete the comment information, and the comment processing efficiency of the volunteer column is improved.
Drawings
Fig. 1 is a schematic diagram of a terminal structure of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of a comment information processing method according to the present invention;
FIG. 3 is a flow chart illustrating another embodiment of a comment information processing method of the present invention;
FIG. 4 is a flowchart illustrating a review information processing method according to yet another embodiment of the present invention;
FIG. 5 is a technical logic block diagram of a comment information processing method of the present invention;
FIG. 6 is a schematic diagram of a display page according to an embodiment of a comment information processing method of the present invention;
fig. 7 is a schematic diagram of another display page in the comment information processing method according to the embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Since in the related art, the review information under the volunteer team and the volunteer project is generally processed manually, the manual processing speed is limited, resulting in inefficient review processing of the volunteer column.
In order to improve the comment processing efficiency of volunteer columns, the embodiment of the invention provides a comment information processing method, a comment information processing system and a computer-readable storage medium, wherein the method mainly comprises the following steps:
when the volunteer column receives the comment information, detecting whether a sensitive word index exists in the comment information or not;
if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index;
and when the similarity is greater than or equal to the preset similarity, judging that the comment information is not qualified, and deleting the comment information.
Therefore, before the comment information is published, the sensitive word index in the comment information is detected when the volunteer column receives the comment information, and corresponding operation is executed according to the comment content corresponding to the sensitive word index and the similarity of the preset sensitive word corresponding to the sensitive word index, so that the system can autonomously judge the comment information with the similarity of the sensitive word larger than the preset similarity and delete the comment information, and the comment processing efficiency of the volunteer column is improved.
The following detailed description of the claimed invention refers to the accompanying drawings.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a comment information processing system.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a memory 1003, and a communication bus 1002. The communication bus 1002 is used to implement connection communication among these components. The memory 1003 may be a high-speed RAM memory or a stable memory such as a disk memory. The memory 1003 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1003, which is a kind of computer storage medium, may include therein an operating system and a comment information processing program.
In the terminal shown in fig. 1, the processor 1001 may be configured to call the comment information processing program stored in the memory 1003, and perform the following operations:
determining target comment information in the published comment information in the comment area;
acquiring reply information of the target comment information;
determining the comment type of the target comment information according to the reply information;
and determining to execute corresponding operation on the target comment information according to the comment type.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and also perform the following operations:
when a release request is received, acquiring user information of an account corresponding to the release request;
determining the comment permission of the account on the volunteer column according to the user information;
and executing corresponding operation on the publishing request according to the comment permission.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and also perform the following operations:
determining the correlation degree of the user information and the volunteer column;
and determining the comment authority of the account according to the association degree.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and also perform the following operations:
judging whether the user information comprises real-name information or not, wherein the real-name information comprises identity card information and telephone number information;
if the user information does not include real-name information, determining that the account has no comment permission on the volunteer column;
and if the user information comprises real-name information, determining that the account has a comment permission on the volunteer column.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and also perform the following operations:
obtaining comment information of a comment area corresponding to the volunteer column;
determining the number of reply messages of the comment messages;
and if the number is larger than the preset reply number, determining the comment information as the target comment information.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and further perform the following operations:
determining semantic content of the reply information;
determining the reply type of the reply information according to the semantic content;
determining the number of reply messages of the same reply type;
determining the target reply type according to the quantity;
and determining the comment type according to the target reply type.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and also perform the following operations:
if the comment type is a high-quality comment, carrying out top processing on the target comment information in a comment area and/or adding the target comment information into the selected comment for displaying;
if the comment type is an inferior comment, deleting the target comment information;
and if the comment type is a malicious comment, deleting the target comment information and marking an account corresponding to the target comment information.
Further, the processor 1001 may call the comment information processing program stored in the memory 1003, and further perform the following operations:
when a publishing request is received, determining text content of comment information;
determining a sentence structure of the text content;
determining vocabulary information of text content according to the sentence structure;
and if the preset sensitive vocabulary does not exist in the vocabulary information, publishing comment information corresponding to the publishing request to the comment area through the publishing request.
Hereinafter, the contents of the claims of the present invention are explained by specific exemplary embodiments so that those skilled in the art can better understand the scope of the claims of the present invention. It is to be understood that the following exemplary embodiments are not intended to limit the scope of the present invention, but are merely illustrative of the present invention.
Exemplarily, referring to fig. 2, in an embodiment of the comment information processing method of the present invention, the comment information processing method includes the steps of:
step S10, when the volunteer column receives comment information, detecting whether sensitive word indexes exist in the comment information or not;
in this embodiment, the comment information processing method is applicable to a volunteer management system, a plurality of volunteer columns are arranged in the volunteer management system, the volunteer columns are independent units which can appear in the process of volunteer service, a certain block of columns is occupied in the volunteer management system, a comment area is set in each volunteer column and comprises a volunteer project, a volunteer team and the like, if a comment area of a volunteer is arranged, the volunteer can also serve as the volunteer column in the embodiment, the comment area is provided with a comment interface, comment information of all parties is received, and the comment information is displayed in the comment area. Meanwhile, the commented party can view all the comments related to himself, see fig. 6.
And after the comment information is received by the comment interface of the volunteer column comment area, the comment information is audited before the comment information is released and displayed. The system establishes some sensitive word indexes in advance and periodically according to preset sensitive words, and the sensitive word indexes can index comment contents which can contain the sensitive words in the comment information. Therefore, when the comment information is received, the content in the comment information is detected, whether the comment content can be indexed according to the index is determined, if the comment content can be indexed, the comment content is determined to include the sensitive word index, and if the comment content cannot be indexed, the comment content is determined not to include the sensitive word index.
Optionally, establishing a sensitive word database, wherein establishing a sensitive word index for a preset sensitive word in the sensitive word database is included; and after receiving the updating data of the preset sensitive words, updating the sensitive word database according to the updating data, and establishing a sensitive word index for the updated preset sensitive words.
According to relevant regulations, the content which can generate negative influence in the volunteer management system can be determined, the sensitive words which cannot appear can be determined according to the content, the sensitive words are used as preset sensitive words, a sensitive word database comprising the preset sensitive words is established, the sensitive word database can be more convenient for managing the sensitive words, and sensitive word indexes are established for the preset sensitive words in the sensitive word database regularly. The sensitive words are continuously updated according to relevant regulations of volunteer management, and the preset sensitive words are added, deleted or modified through the sensitive word database, so that after the updated data of the preset sensitive words are received, the preset sensitive words to be added, deleted or modified are determined according to the updated data, the preset sensitive words in the sensitive word database are updated, and a sensitive word index is established for the new added and modified preset sensitive words.
Step 20, if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index;
in this embodiment, comment content is indexed according to a pre-established sensitive word, if part or all of comment content in comment information can be indexed, it is determined that a sensitive word index exists in the comment information, if it is detected that a sensitive word index exists in the comment information, the comment content corresponding to the sensitive word index may include a sensitive word, further processing needs to be performed on the comment content, and the similarity between the indexed comment content and a preset sensitive word corresponding to the sensitive word index is determined, where the higher the similarity is, the closer the comment content is to the preset sensitive word, the more negative influence can be caused on a comment area, and external intervention can be performed on the comment content.
Optionally, if the sensitive word index does not exist in the comment information, judging that the comment information is in compliance, and issuing the comment information to a comment area of the volunteer column.
If the sensitive word index does not exist in the comment information, namely the comment content in the comment information cannot be indexed according to the pre-established sensitive word index, the comment information may not have content similar to the preset sensitive word, and even if the content exists, the similarity to the preset sensitive word is very low. Therefore, the comment content without the sensitive word index is not processed, so that the calculation cost can be saved, and after the comment is successfully published, a successfully published page can be popped up for prompting the user, and the repeated operation is avoided by referring to fig. 7.
And step S30, when the similarity is larger than or equal to the preset similarity, judging that the comment information is not qualified, and deleting the comment information.
In this embodiment, the similarity is determined to be compared with a preset similarity, the preset similarity is determined according to a user requirement, if the similarity is greater than the preset similarity, the comment content in the comment information is highly similar to the preset sensitive word, for example, if the preset similarity is 80%, the similarity is greater than or equal to 80%, and thus the comment information is non-compliance information, and the comment information needs to be deleted and is not published.
Optionally, when the similarity is smaller than the preset similarity, sending the comment information to an auditing end; receiving feedback information corresponding to the comment information sent by the auditing end; and executing the operation of deleting the comment information or publishing the comment information according to the feedback information.
When sensitive word indexes exist in the comment information and the similarity is smaller than the preset similarity, whether the comment content in the comment information has negative influence or not is determined, and the volunteer management system is not well defined. In practical situations, because the contexts are different, the same vocabulary can be sensitive words, and thus manual intervention is needed; and when the similarity is smaller than the preset similarity, the comment information is sent to an auditing end, the review is carried out manually, the feedback information is sent to a comment information processing system through the auditing end, and the system determines to release the comment information or delete the comment information according to the feedback information.
For convenience of understanding of the present embodiment, referring to fig. 5, fig. 5 is a technical logic block diagram provided in an embodiment of the present invention. The method comprises the steps that a user inputs comment information to a volunteer column of a volunteer management system through a browser, the comment information is submitted to a comment information processing system to detect a sensitive word index, whether the comment information has the sensitive word index or not is judged according to the index, if the comment information does not have the sensitive word index, the comment information is directly issued to a comment area corresponding to the volunteer column, if the comment information exists, the similarity between corresponding comment content and preset sensitive words is determined, if the similarity is larger than or equal to the preset similarity, the comment information is deleted, or if the comment information exists, the similarity between the corresponding comment content and the preset sensitive words is determined to be smaller than the preset similarity, the comment information is sent to a review terminal, manual review is carried out, if the comment information is judged to be a sensitive word through manual review, a deleting operation is carried out, and if the comment information is judged to be normal, the comment information is issued to the comment area corresponding to the volunteer column.
For a more convenient understanding, the present invention provides a specific embodiment;
the first step is as follows: initializing preset sensitive word data, setting preset similarity of words, directly deleting contents and creating a new index if the similarity exceeds the preset similarity;
the second step: detecting comment information through a sensitive word index;
the third step: if the content does not contain the sensitive word index, judging whether to automatically process according to the preset similarity, if not, storing the content into a database to wait for manual intervention;
the fourth step: automatically processing contents are filed, and the recorded contents comprise release time, processing time, a publisher and triggered sensitive words;
the fifth step: and (5) manual intervention treatment.
In the technical scheme disclosed in the embodiment, when the volunteer column receives comment information, whether sensitive word indexes exist in the comment information is detected; if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index; and when the similarity is greater than or equal to the preset similarity, judging that the comment information is not qualified, and deleting the comment information. Therefore, before the comment information is published, the sensitive word index in the comment information is detected when the comment information is received by the volunteer column, and corresponding operation is executed according to the comment content corresponding to the sensitive word index and the similarity of the preset sensitive word corresponding to the sensitive word index, so that the system can autonomously judge the comment information with the similarity of the sensitive word larger than the preset similarity and delete the comment information, the comment processing efficiency of the volunteer column is improved, the comment environment in the volunteer column is also purified, and the user experience is improved.
Optionally, referring to fig. 3, based on any one of the above embodiments, in another embodiment of the comment information processing method of the present invention, the comment information processing method further includes:
s40, determining target comment information in the published comment information in the comment area;
in this embodiment, besides review before posting the comment information, review should be performed on the comment information after posting, and a comment which is incorrectly reviewed before posting is left in the comment area, which causes negative effects. The comment information is published in the comment area, the comment area is a comment information display area, each comment information display area is provided with a reply interface, reply information of each party is received, when the comment information processing method is executed, target comment information in the published comment information in the comment area is determined, and the target comment information is one or more pieces of comment information published in the comment area.
In an optional implementation scheme of the implementation scheme, the published comment information in the comment area is obtained; determining the number of reply messages of the comment messages; and if the number is larger than the preset reply number, determining the comment information as the target comment information.
Obtaining comment information which is published in a comment area corresponding to the volunteer column, determining the number of reply information of each comment information, and determining that the comment information of which the number of reply information is larger than a preset number is target comment information. If the number of the comment information does not exceed the preset reply number, the comment information cannot be used as target comment information, the more the number of the reply information is, the higher the universality of the reply information is, the more accurate the comment type determined according to the reply information is, the more accurate the processing operation on the comment information is, the less the number of the reply information is, the lower the universality of the reply information is, the accuracy of the comment type determined according to the reply information is affected, so that the processing operation on the comment information is not matched, the preset reply number is set to prevent the situation from occurring, on the other hand, the less the reply number of the comment information is not high, the necessity of managing and processing the comment information is low, the comment information is not used as the target comment information to be processed, and the processing efficiency of the comment information can be further improved.
In an optional implementation of this embodiment, when a posting request is received, text content of the comment information is determined; determining a sentence structure of the text content; determining vocabulary information of the text content according to the sentence structure; judging whether preset sensitive vocabularies exist in the vocabulary information; and if the preset sensitive vocabulary does not exist in the vocabulary information, publishing comment information corresponding to the publishing request to the comment area through the publishing request. When an issuing request is received, text content of comment information is determined, the comment information can be text information, voice information and picture information, if the comment information is the text information, the text content of the comment information can be directly determined, if the comment information is the voice information, voice-to-text processing is carried out on the voice information to determine the text content of the voice information, if the comment information is the picture information, recognition processing is carried out on the picture information to determine a character part in a picture, the character content is determined according to the character part, a sentence structure of the character content is determined, a subject, a predicate, an object, a fixed language, a zhuge and a complement part are determined, vocabulary information of the text content is further determined, the vocabulary information is compared with vocabularies in a preset sensitive vocabulary library to finish judgment, if preset sensitive vocabularies exist in the vocabulary information, the issuing request is returned, and if the preset sensitive vocabularies do not exist in the vocabulary information, the comment information is displayed in a voluntary comment area through the issuing request. The method for identifying the sensitive words can also be used for target comment information and reply information, and because the target comment information and the reply information are published comment information, if the published comment information contains preset sensitive words, the published comment information is deleted, folded or hidden, and the deleting, folding or hiding operation can also be sent to an account number publishing the comment information.
S50, acquiring reply information of the target comment information;
in this embodiment, after the target comment information is obtained, the reply information of the target comment information is indexed according to the reply interface of the target comment information, where the reply information may be text reply information, picture reply information, voice reply information, and selective reply information, and the selective reply information requires the reviewer to select the preset reply information to complete a comment operation, such as a comment, a click, a good view, a general view, a poor view, and the like.
Note that the reply information is also comment information, and the comment information processing method provided by the present embodiment is also applicable to processing of reply information.
Step S60, determining the comment type of the target comment information according to the reply information;
in this embodiment, the reply information is a multi-party opinion of each party on the target comment information, which has universality, the comment type of the target comment information can be determined according to the reply information, and the comment type can be divided according to the goodness and badness degree of the comment, for example, the target comment information a issues a medium evaluation on a volunteer item and gives a poem instantly, such target comment information can be divided into high-quality comments, and the quartic reply number in the reply information is greater than the quartic reply number, so that the comment type of the target comment information a can be determined to be a high-quality comment according to the reply information, the target comment information B issues an evaluation of being damaged by the petty, so that words hardly enter ears, such target comment information can be divided into inferior comments, and the quartic reply number in the reply information can be greater than the quartic reply number, so that the comment type of the target comment information B can be determined to be inferior comments according to the reply information; the comment types can be further divided, for example, the target comment information C is a comment under a 1- # wish item, the content of the target comment information C is a comment on a 2- # wish item, such target comment information can be divided into irrelevant comments, reply information such as 'wrong comment' and the like can appear in the target comment information C, it can be determined according to the reply information that the comment type of the target comment information C is an irrelevant comment, the target comment information D is a comment under a 1- # wish item, the content of the target comment information D is a comment on a 1- # wish item, such target comment information can be divided into relevant comments, and the target comment information D can appear 'i also think as' and the like reply information, such that it can be determined according to the reply information that the comment type of the target comment information D is an relevant comment.
In an optional implementation of this embodiment, semantic content of the reply message is determined; determining the reply type of the reply information according to the semantic content; determining the number of reply messages of the same reply type; determining the target reply type according to the quantity; and determining the comment type according to the target reply type. The reply information is a comment of each party to the target comment information, represents a viewpoint of each party to the target comment information, determines semantic content of the reply information, and can determine reply types of the reply information according to the semantic content, wherein the reply types can be divided according to the reply content of the target comment information, for example, the reply types can be divided into good comment, no comment, criticizing and the like, the number of reply information of the same reply type is determined, the reply information with the largest reply number is used as the target reply type, and the comment type is determined according to the target reply type. For example, more than half of the reply messages of the target comment information reply the reply messages such as "true bar" and "bad", and the reply messages can be determined to be awarded for the target comment information according to the semantic content of the reply messages, so that more than half of the reply messages are good comments and the good comments are taken as the target reply types, and therefore, the comment types of the target comment information are determined to be good comments according to the target reply types.
And step S70, determining to execute corresponding operation on the target comment information according to the comment type.
In this embodiment, after the comment type of the target comment information is determined, the preset operation corresponding to the comment type is determined according to the comment type, and the preset operation is performed on the target comment information, so that management of the comment information in the volunteer comment area is realized.
In an optional implementation of this embodiment, a weight value of the target comment information is determined according to the comment type, and a display mode of the target comment information is determined according to the weight value. For example, the high-quality comment has a higher weight value and can be displayed at a position in front of the comment area, and the higher the weight value is, the position is closer to the front. In addition, a weighted value determined according to the association degree of the user information and the volunteer column can be used as a first weighted value, a second weighted value determined according to the comment type is used for determining a comprehensive weighted value according to the first weighted value and the second weighted value and a preset proportion formula, and a display mode of the target comment information is determined according to the comprehensive weighted value, so that the display effect of the comment information in the comment area of the volunteer column is improved.
In an alternative embodiment of this embodiment, the comment types may include: if the comment type is a high-quality comment, the target comment information is subjected to top setting processing in a comment area and/or is added into the selected comment for display; if the comment type is an inferior comment, deleting the target comment information or folding the target comment information; and if the comment type is a malicious comment, deleting the target comment information or folding the target comment information, and marking an account corresponding to the target comment information. The upper complaint comment types are divided according to the goodness and badness of comments, poor comments and malicious comments can be hidden or folded except that target comment information is deleted, the malicious comments are very bad comments, sensitive words or foul and dirty words are involved besides blacking comment objects, the possibility that account numbers which issue the comment information have malicious account numbers can be considered, the account numbers which issue the target comment information are marked, after the marking times of one account number exceed the preset marking times, the account numbers are judged to be malicious account numbers, punishment processing such as number sealing processing or all comment permission processing closing is executed, and in addition, no operation can be carried out on common comments.
In an optional implementation of this embodiment, the dividing the comment types according to the comment content may include: and if the comment type is the irrelevant comment, deleting, folding, hiding or the like can be performed on the target comment information, and prompt information is sent to an account corresponding to the comment information.
In the technical scheme disclosed in the embodiment, target comment information in the published comment information in the comment area is determined; acquiring reply information of the target comment information; determining the comment type of the target comment information according to the reply information; and determining to execute corresponding operation on the target comment information according to the comment type. The reply information is the opinion of most people on the comment information, and has universality, so that the comment type of the target comment information is determined through the reply information of the target comment information, corresponding operation is performed on the target comment information according to the comment type, and the comment information in the volunteer column comment area is processed, so that the comment processing efficiency of the volunteer column is improved, and the comment information in the volunteer column comment area is managed.
Optionally, referring to fig. 4, based on any one of the above embodiments, in another embodiment of the comment information processing method of the present invention, the comment information processing further method includes:
step S50, when receiving the issuing request, acquiring user information of an account corresponding to the issuing request;
s60, determining the comment permission of the account on the volunteer column according to the user information;
and step S70, executing corresponding operation on the publishing request according to the comment authority.
In this embodiment, before receiving the comment information, the volunteer column receives a comment information publishing request, and before reviewing the comment information, the comment authority of the user should be reviewed. When a release request is received, acquiring user information of an account corresponding to the release request; determining the comment permission of the account to the volunteer column according to the user information; and executing corresponding operation on the publishing request according to the comment permission.
The target comment information is the published comment information, and before the comment information is published, the comment permission of the reviewer is audited, so that the comment information of the volunteer column can be managed and controlled from the source.
Optionally, determining the association degree of the user information and the volunteer column; and determining the comment authority of the account according to the association degree.
The comment information processing method provided by the embodiment uses volunteer services, registered volunteers and volunteer teams can participate in comments, when a reviewer comments a volunteer column, the published comment information is valid after the reviewer knows the volunteer column, the association degree between the user information of an account of the reviewer and the volunteer column is higher, the more the reviewer knows the volunteer column, the higher the comment permission of the account of the reviewer to the volunteer column is, when the association degree reaches the preset association degree, the account is determined to have the comment permission, the comment information can be published, the display weight value of the comment information is determined according to the comment permission, and the display mode of the comment information is determined according to the display weight value, for example, the display position of the comment information is closer, or the comment information can be bold in characters, and can be set to be different from the color backgrounds of other comments, and the like.
Further, when the association degree of the user information and the volunteer project is determined, the association degree of the user information and the volunteer project is determined according to the times of participation of volunteers in the volunteer project and the reward and punishment information of participation in the volunteer project. When the degree of association between the user information and the volunteer team is determined early, the degree of association between the user information and the volunteer column is determined according to the age of the volunteer participating in the volunteer team, the number of times of volunteer items participating in the organization of the volunteer team, the level of employment in the volunteer team and other information.
Optionally, judging whether the user information comprises real-name information, wherein the real-name information comprises identity card information and telephone number information; if the user information does not include real-name information, determining that the account has no comment permission on the volunteer column; and if the user information comprises real-name information, determining that the account has a comment permission on the volunteer column.
The user information at least comprises account information, and can also comprise real-name information after real-name authentication according to regulations, wherein the real-name information comprises identity card information (name, identity card number) and a contact way, after a reviewer carries out real-name authentication on an account, the user information can increase the real-name information, if the user information of the account for commenting is judged to comprise the real-name information, the account is determined to have a comment permission, the comment information can be issued under a wish column, if the user information does not comprise the real-name information, the comment permission of the account is determined, the comment information cannot be issued under the wish column, prompt information without the comment permission is returned, and an interface for carrying out real-name authentication is improved.
In the technical scheme disclosed in the embodiment, when a release request is received, user information of an account corresponding to the release request is acquired; determining the comment permission of the account to the volunteer column according to the user information; and executing corresponding operation on the publishing request according to the comment permission. Therefore, by intercepting the comment information without comment authority from the source, the probability of occurrence of incredible inferior comments is reduced, and the processing efficiency of the comment information in the volunteer column comment area is improved.
In addition, an embodiment of the present invention further provides a comment information processing system, where the comment information processing system includes a memory, a processor, and a comment information processing program that is stored in the memory and is executable on the processor, and when being executed by the processor, the comment information processing program implements the steps of the comment information processing method according to each of the above embodiments.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a comment information processing program is stored on the computer-readable storage medium, and when the comment information processing program is executed by a processor, the steps of the comment information processing method according to the above embodiments are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for causing the comment information processing system to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. A comment information processing method, characterized by comprising:
when a volunteer column receives comment information, detecting whether a sensitive word index exists in the comment information;
if the sensitive word index exists in the comment information, determining the similarity between the comment content corresponding to the sensitive word index and a preset sensitive word corresponding to the sensitive word index;
and when the similarity is greater than or equal to a preset similarity, judging that the comment information is not qualified, and deleting the comment information.
2. The comment information processing method of claim 1, wherein before the detecting whether the sensitive word index is present in the comment information, further comprising:
establishing a sensitive word database, wherein the sensitive word database comprises the steps of establishing a sensitive word index for a preset sensitive word in the sensitive word database;
and after receiving the updating data of the preset sensitive words, updating the sensitive word database according to the updating data, and establishing a sensitive word index for the updated preset sensitive words.
3. The method for processing comment information according to claim 1, wherein after the step of determining a similarity between the comment content corresponding to the sensitive word index and the preset sensitive word corresponding to the sensitive word index, the method further comprises:
when the similarity is smaller than a preset similarity, the comment information is sent to an auditing end;
receiving feedback information corresponding to the comment information sent by the auditing end;
and executing the operation of deleting the comment information or publishing the comment information according to the feedback information.
4. The comment information processing method according to claim 1, wherein after the step of detecting whether a sensitive word index is present in the comment information, further comprising:
if the sensitive word index does not exist in the comment information, judging that the comment information is in compliance;
and issuing the comment information to a comment area of the volunteer column.
5. The review information processing method of claim 4, after the step of issuing the review information to the review area of the volunteer column, further comprising:
determining target comment information in the published comment information in the comment area;
acquiring reply information of the target comment information;
determining the comment type of the target comment information according to the reply information;
and determining to execute corresponding operation on the target comment information according to the comment type.
6. The comment information processing method according to claim 5, wherein the step of determining the target comment information among the comment information posted in the comment area includes:
obtaining the published comment information in the comment area;
determining the number of reply messages of the comment messages;
and if the number is larger than the preset reply number, determining the comment information as target comment information.
7. The comment information processing method of claim 5, wherein the step of determining a comment type of the target comment information from the reply information includes:
determining semantic content of the reply message;
determining a reply type of the reply information according to the semantic content;
determining the number of reply messages of the same reply type;
determining the target reply type according to the number;
and determining the comment type according to the target reply type.
8. The comment information processing method of claim 5, wherein the comment type includes: the method comprises the following steps of determining corresponding operation to the target comment information according to the comment type, wherein the step of determining corresponding operation to the target comment information according to the comment type comprises the following steps:
if the comment type is a high-quality comment, the target comment information is subjected to top setting in the comment area and/or the target comment information is added into a carefully-selected comment for display;
if the comment type is an inferior comment, deleting the target comment information;
and if the comment type is a malicious comment, deleting the target comment information and marking an account corresponding to the target comment information.
9. A review information processing system, characterized by comprising: a memory, a processor, and a comment information processing program stored on the memory and executable on the processor, the comment information processing program implementing the steps of the comment information processing method according to any one of claims 1 to 8 when executed by the processor.
10. A computer-readable storage medium characterized in that a comment information processing program is stored thereon, which when executed by a processor realizes the steps of the comment information processing method according to any one of claims 1 to 8.
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| CN202210809507.6A CN115357680A (en) | 2022-07-11 | 2022-07-11 | Comment information processing method, comment information processing system and computer-readable storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116204748A (en) * | 2022-12-28 | 2023-06-02 | 河北省气象服务中心(河北省气象影视中心) | Data processing method |
| CN116663505A (en) * | 2023-07-31 | 2023-08-29 | 厦门起量科技有限公司 | Comment area management method and system based on Internet |
| CN117035891A (en) * | 2023-08-17 | 2023-11-10 | 慧众合(山东)科技创新发展有限公司 | Market trading system based on knowledge graph |
| CN117556146A (en) * | 2024-01-10 | 2024-02-13 | 石家庄邮电职业技术学院 | Network data information processing system, method, equipment and medium |
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2022
- 2022-07-11 CN CN202210809507.6A patent/CN115357680A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116204748A (en) * | 2022-12-28 | 2023-06-02 | 河北省气象服务中心(河北省气象影视中心) | Data processing method |
| CN116663505A (en) * | 2023-07-31 | 2023-08-29 | 厦门起量科技有限公司 | Comment area management method and system based on Internet |
| CN116663505B (en) * | 2023-07-31 | 2023-10-13 | 厦门起量科技有限公司 | Comment area management method and system based on Internet |
| CN117035891A (en) * | 2023-08-17 | 2023-11-10 | 慧众合(山东)科技创新发展有限公司 | Market trading system based on knowledge graph |
| CN117556146A (en) * | 2024-01-10 | 2024-02-13 | 石家庄邮电职业技术学院 | Network data information processing system, method, equipment and medium |
| CN117556146B (en) * | 2024-01-10 | 2024-03-22 | 石家庄邮电职业技术学院 | Network data information processing system, method, equipment and medium |
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