Method and apparatus for displaying comments based on likes of internet community comments

Abstract

The application relates to a comment display method and device based on Internet community comment likes, which comprises the following steps: when receiving a like operation of a user on any comment in an Internet community, topic keyword identification is performed on the comment; when it is identified that the comment contains a topic keyword, it is determined whether the topic keyword has a corresponding existing topic in the Internet community; when the topic keyword has a corresponding existing topic, it is determined whether the number of hot posts in the existing topic is greater than or equal to a preset threshold; when the number of hot posts in the existing topic is greater than or equal to the preset threshold, a hot post list page URL corresponding to the existing topic is acquired, and the hot post list page URL is associated with the topic keyword; and the topic keyword in the comment is highlighted. Through the technical scheme, small and rare interest topics in the community can find users who are really interested, and the number of posts with zero comments can be reduced.

Description

Technical Field

[0001] This invention relates to the field of internet data processing technology, and in particular to a method and apparatus for displaying comments based on likes and comments in internet communities. Background Technology

[0002] The popularity of different topics in content communities varies greatly. Popular topics have many active users and high traffic, while niche interest topics have fewer active users and lower traffic. Reaching truly potentially interested users for posts on niche interest topics is a major challenge in content community operations. Currently used personalized recommendation technologies cannot solve this problem, mainly because they rely on historical big data and machine learning to predict the probability of user interest in posts. This technology, which uses "history" to predict "future," is highly dependent on historical traffic volume. Therefore, personalized recommendation technology is very effective for distributing posts on "historically high-traffic popular topics," but ineffective for distributing posts on "historically low-traffic niche topics." Posts on niche interest topics often become inactive posts with zero comments because they lack the opportunity to reach truly interested users, severely impacting the poster's motivation to continue posting. The distribution of content on niche interest topics in communities urgently needs a new technology to solve the problem of reaching truly potentially interested users. Summary of the Invention

[0003] To overcome the problems existing in related technologies, the present invention provides a comment display method and device based on internet community comments and likes, thereby enabling users who may actually be interested in niche interest topics in the community to find them and reduce the number of posts with zero comments.

[0004] According to a first aspect of the present invention, a method for displaying comments based on likes and comments in an internet community is provided, the method comprising:

[0005] When a user likes any comment in an online community, the comment is identified using topic keywords.

[0006] When the comment is identified to contain topic keywords, it is determined whether there is a corresponding existing topic for the topic keywords in the internet community;

[0007] When the topic keyword has a corresponding existing topic, determine whether the number of hot posts in the existing topic is greater than or equal to a preset threshold.

[0008] When the number of hot posts in the existing topic is greater than or equal to a preset threshold, obtain the URL of the hot post list page corresponding to the existing topic, and associate the URL of the hot post list page with the topic keywords;

[0009] Highlight the relevant keywords in the comments.

[0010] In one embodiment, preferably, the method further includes:

[0011] Upon receiving a command to select or click on the topic keywords, the displayed content will be redirected to the page corresponding to the URL of the hot post list page.

[0012] In one embodiment, preferably, topic keyword identification is performed on the comments, including:

[0013] The comments are identified using a pre-trained topic keyword extraction model.

[0014] In one embodiment, preferably, the method further includes:

[0015] Select target topic names in the internet community whose number of posts exceeds a preset number at preset time intervals;

[0016] Determine the set of topic keywords based on the target topic name;

[0017] Add the aforementioned set of topic keywords to the user-defined thesaurus for Chinese word segmentation;

[0018] The user-defined dictionary is used to perform Chinese word segmentation on target comments in the Internet community that meet preset conditions, and the Chinese word segmentation results are obtained.

[0019] Based on the topic keyword set and the Chinese word segmentation results, each target comment is labeled using BIO annotation to obtain labeled training data;

[0020] The topic keyword extraction model is obtained by using the labeled training data and the BERT training model for deep learning training.

[0021] In one embodiment, preferably, the preset conditions include:

[0022] The comment has a greater historical number of likes than the preset number of likes.

[0023] In one embodiment, preferably, each target comment is BIO-labeled based on the topic keyword set and the Chinese word segmentation results to obtain labeled training data, including:

[0024] Each word in the Chinese word segmentation result is compared sequentially with the words in the topic keyword set;

[0025] When a word in the Chinese word segmentation result is the same as a word in the topic keyword set, the word is marked as a keyword; otherwise, it is marked as a non-keyword.

[0026] According to a second aspect of the present invention, a comment display device based on internet community comments and likes is provided, the device comprising:

[0027] The identification module is used to identify topic keywords in a comment when it receives a user's "like" action on any comment in an internet community.

[0028] The first determining module is used to determine whether there is a corresponding existing topic in the Internet community when the comment is identified to contain topic keywords;

[0029] The second determining module is used to determine whether the number of hot posts in the existing topics is greater than or equal to a preset threshold when the topic keyword has a corresponding existing topic.

[0030] The association module is used to obtain the URL of the hot post list page corresponding to the existing topic when the number of hot posts in the existing topic is greater than or equal to a preset threshold, and associate the URL of the hot post list page with the topic keywords.

[0031] The display module is used to highlight the topic keywords in the comments.

[0032] In one embodiment, preferably, the device further includes:

[0033] The jump module is used to receive the selection or click command for the topic keyword, and jump the displayed content to the page corresponding to the URL of the hot post list page according to the selection or click command.

[0034] In one embodiment, preferably, the identification module is used for:

[0035] The comments are identified using a pre-trained topic keyword extraction model.

[0036] In one embodiment, preferably, the device further includes:

[0037] The selection module is used to select target topic names in the Internet community whose number of posts exceeds a preset number at preset time intervals.

[0038] The third determining module is used to determine a set of topic keywords based on the target topic name;

[0039] Add a module to add the set of topic keywords to the user-defined thesaurus for Chinese word segmentation;

[0040] The word segmentation module is used to perform Chinese word segmentation on target comments in the Internet community that meet preset conditions using the user-defined dictionary, and obtain Chinese word segmentation results.

[0041] The annotation module is used to perform BIO annotation on each target comment based on the topic keyword set and the Chinese word segmentation results to obtain annotated training data;

[0042] The training module is used to perform deep learning training using the labeled training data and the BERT training model to obtain the topic keyword extraction model.

[0043] In one embodiment, preferably, the preset conditions include:

[0044] The comment has a greater historical number of likes than the preset number of likes.

[0045] In one embodiment, preferably, the annotation module is used for:

[0046] Each word in the Chinese word segmentation result is compared sequentially with the words in the topic keyword set;

[0047] When a word in the Chinese word segmentation result is the same as a word in the topic keyword set, the word is marked as a keyword; otherwise, it is marked as a non-keyword.

[0048] According to a third aspect of the present invention, a comment display device based on internet community comments and likes is provided, the device comprising:

[0049] processor;

[0050] Memory used to store processor-executable instructions;

[0051] The processor is configured as follows:

[0052] When a user likes any comment in an online community, the comment is identified using topic keywords.

[0053] When the comment is identified to contain topic keywords, it is determined whether there is a corresponding existing topic for the topic keywords in the internet community;

[0054] When the topic keyword has a corresponding existing topic, determine whether the number of hot posts in the existing topic is greater than or equal to a preset threshold.

[0055] When the number of hot posts in the existing topic is greater than or equal to a preset threshold, obtain the URL of the hot post list page corresponding to the existing topic, and associate the URL of the hot post list page with the topic keywords;

[0056] Highlight the relevant keywords in the comments.

[0057] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having computer instructions stored thereon, which, when executed by a processor, implement the steps of the method as described in any one of the embodiments of the second aspect.

[0058] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0059] In this embodiment of the invention, user "likes" trigger automatic identification of topic keywords in comments. These keywords are designated as "traffic-driving words," displaying a unique format distinct from other characters. Clicking a traffic-driving word redirects the user to the corresponding topic's content list page, facilitating further browsing of related content. Adding the URL of the corresponding topic content to the keyword in the comment as a hyperlink enables these keywords to drive traffic to the relevant content. This not only allows interested users to further explore topic-related content, providing user value and making it convenient for users who "like" the comment to access related content, but also psychologically rewards them for actively liking it. Furthermore, it significantly increases the probability of niche topics effectively reaching genuinely interested users, improving the efficiency of content distribution on the community platform.

[0060] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0061] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0062] Figure 1 This is a flowchart illustrating a comment display method based on likes and comments in an internet community, according to an exemplary embodiment.

[0063] Figure 2 This is a screenshot of an interface for displaying comment text, according to an exemplary embodiment.

[0064] Figure 3 This is a screenshot of an interface showing another comment text display according to an exemplary embodiment.

[0065] Figure 4 This is a flowchart illustrating another method for displaying comments based on likes and comments in an internet community, according to an exemplary embodiment.

[0066] Figure 5This is a screenshot of an interface displaying comment text, as illustrated in an exemplary embodiment.

[0067] Figure 6 This is a flowchart illustrating yet another method for displaying comments based on likes and comments in an internet community, according to an exemplary embodiment.

[0068] Figure 7 This is a block diagram illustrating yet another comment display device based on internet community comment likes, according to an exemplary embodiment.

[0069] Figure 8 This is a block diagram illustrating yet another comment display device based on internet community comment likes, according to an exemplary embodiment.

[0070] Figure 9 This is a block diagram illustrating yet another comment display device based on internet community comment likes, according to an exemplary embodiment. Detailed Implementation

[0071] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0072] Figure 1 This is a flowchart illustrating a comment display method based on likes and comments in an internet community, according to an exemplary embodiment.

[0073] like Figure 1 As shown, according to a first aspect of the present invention, a method for displaying comments based on likes and comments in an internet community is provided, the method comprising:

[0074] Step S101: When a user's "like" action is received for any comment in the Internet community, topic keywords are identified for the comment.

[0075] Step S102: When it is identified that the comment contains topic keywords, determine whether there is a corresponding existing topic for the topic keywords in the Internet community;

[0076] If the identification results contain "topic keywords", check whether the identified "topic keywords" are in the topic keyword set; if not, it means that there is no such topic, and no comment keyword traffic will be generated.

[0077] Step S103: When the topic keyword has a corresponding existing topic, determine whether the number of hot posts in the existing topic is greater than or equal to a preset threshold.

[0078] If the identification result shows that the "topic keywords" identified in the comments are within the topic keyword set, then further checks are made to see if there are a certain number of popular posts in the corresponding topic. For example, it's determined whether the number of popular posts is greater than N (e.g., N=5). If the number of popular posts is extremely small, it indicates that the topic lacks content, and no comment keyword traffic generation will be implemented. If the identification result shows that the number of popular posts in the corresponding topic meets the standard, it indicates that the topic has some high-quality content, and further traffic generation through comment keywords can be implemented to expand the reach of genuinely interested users browsing related content.

[0079] Step S104: When the number of hot posts in the existing topic is greater than or equal to a preset threshold, obtain the URL of the hot post list page corresponding to the existing topic, and associate the URL of the hot post list page with the topic keywords.

[0080] If the recognition result shows that the number of hot posts for the corresponding topic meets the standard, the backend obtains the URL of the hot post list page for the corresponding topic and uses it as a hyperlink for the topic keywords in the comments.

[0081] Step S105: Highlight the topic keywords in the comments.

[0082] Highlighting topic keywords can be done by underlining, highlighting, bolding, boxing, separating them with special symbols, or using stylized artistic fonts, etc., to attract users' visual attention and increase the probability of users actively clicking on the keywords.

[0083] Specifically, when a user likes a comment, the backend is triggered to begin identifying "topic keywords" within the comment. For example... Figure 2 As shown, the comment reads, "It's a fireball, and very likely a meteorite," with a "like" button in the bottom right corner. When a user likes the comment, it changes to something like this. Figure 3 As shown, "meteorite" is specially marked on the front display, such as by adding an underline.

[0084] Figure 4 This is a flowchart illustrating another method for displaying comments based on likes and comments in an internet community, according to an exemplary embodiment.

[0085] like Figure 4 As shown, in one embodiment, preferably, the method further includes:

[0086] Step S401: Receive a selection or click command for the topic keyword, and redirect the displayed content to the page corresponding to the URL of the hot post list page according to the selection or click command.

[0087] like Figure 5 As shown, when a user clicks on the keyword "meteorite" in the comments, the page redirects to the content page of the corresponding topic, and by default redirects to the list of popular posts for the corresponding topic.

[0088] In one embodiment, preferably, topic keyword identification is performed on the comments, including:

[0089] The comments are identified using a pre-trained topic keyword extraction model.

[0090] Figure 6 This is a flowchart illustrating yet another method for displaying comments based on likes and comments in an internet community, according to an exemplary embodiment.

[0091] like Figure 6 As shown, in one embodiment, preferably, the method further includes:

[0092] Step S601: Select target topic names in the Internet community whose number of posts exceeds a preset number according to a preset time interval;

[0093] Compile a set of topic keywords, selecting topic names from those with a certain number of posts in the community throughout history; this set of topic keywords can be updated daily.

[0094] Step S602: Determine the set of topic keywords based on the target topic name;

[0095] Step S603: Add the set of topic keywords to the user-defined thesaurus for Chinese word segmentation;

[0096] The compiled set of topic keywords will be added to the user-defined thesaurus for Chinese word segmentation to ensure that the Chinese word segmentation results can segment all words in the topic keyword set into one word.

[0097] Step S604: Use the user-defined dictionary to perform Chinese word segmentation on target comments in the Internet community that meet the preset conditions to obtain Chinese word segmentation results;

[0098] In one embodiment, preferably, the preset conditions include:

[0099] The comment has a greater historical number of likes than the preset number of likes.

[0100] Of course, the preset conditions can also be other rules to select high-quality user comments, such as comments that exceed the preset word count, are clearly expressed, and contain a lot of information.

[0101] Step S605: Perform BIO annotation on each target comment based on the topic keyword set and the Chinese word segmentation results to obtain annotated training data;

[0102] Each word in the Chinese word segmentation result is compared sequentially with the topic keyword set. If it is in the topic keyword set, it is marked as a keyword; otherwise, it is marked as a non-keyword. That is, if the word segmentation result matches a topic word in the topic keyword set, the topic keyword is automatically marked using the BIO annotation method. For example, in the comment "When it comes to the acting skills of villains, I only admire Gao Mingyuan in the TV series 'Sweeping Storm'", "Sweeping Storm" is a topic name with many popular posts discussing the plot. The corresponding BIO annotation is "OOOOOOOOOOOOOBIIIOOOO O", where "Sweeping Storm" is marked as a keyword. If the word segmentation result of the comment does not contain the topic keyword 101, then each character is automatically marked as "O".

[0103] Step S606: Use the labeled training data and the BERT training model to perform deep learning training to obtain the topic keyword extraction model.

[0104] In one embodiment, preferably, each target comment is BIO-labeled based on the topic keyword set and the Chinese word segmentation results to obtain labeled training data, including:

[0105] Each word in the Chinese word segmentation result is compared sequentially with the words in the topic keyword set;

[0106] When a word in the Chinese word segmentation result is the same as a word in the topic keyword set, the word is marked as a keyword; otherwise, it is marked as a non-keyword.

[0107] Figure 7 This is a block diagram illustrating yet another comment display device based on internet community comment likes, according to an exemplary embodiment.

[0108] like Figure 7 As shown, according to a second aspect of the present invention, a comment display device based on internet community comments and likes is provided, the device comprising:

[0109] The identification module 71 is used to identify topic keywords in a comment when it receives a user's "like" action on any comment in an internet community.

[0110] The first determining module 72 is used to determine whether there is a corresponding existing topic in the Internet community when the comment is identified to contain topic keywords;

[0111] The second determining module 73 is used to determine whether the number of hot posts in the existing topics is greater than or equal to a preset threshold when the topic keyword has a corresponding existing topic.

[0112] The association module 74 is used to obtain the URL of the hot post list page corresponding to the existing topic when the number of hot posts in the existing topic is greater than or equal to a preset threshold, and associate the URL of the hot post list page with the topic keywords.

[0113] Display module 75 is used to highlight the topic keywords in the comments.

[0114] Figure 8 This is a block diagram illustrating yet another comment display device based on internet community comment likes, according to an exemplary embodiment.

[0115] like Figure 8 As shown, in one embodiment, preferably, the device further includes:

[0116] The jump module 81 is used to receive a selection or click command for the topic keyword, and jump the displayed content to the page corresponding to the URL of the hot post list page according to the selection or click command.

[0117] In one embodiment, preferably, the identification module is used for:

[0118] The comments are identified using a pre-trained topic keyword extraction model.

[0119] Figure 9 This is a block diagram illustrating yet another comment display device based on internet community comment likes, according to an exemplary embodiment.

[0120] like Figure 9 As shown, in one embodiment, preferably, the device further includes:

[0121] Module 91 is used to select target topic names in the Internet community where the number of posts exceeds a preset number at preset time intervals.

[0122] The third determining module 92 is used to determine a set of topic keywords based on the target topic name;

[0123] Add module 93 to add the set of topic keywords to the user-defined thesaurus for Chinese word segmentation;

[0124] The word segmentation module 94 is used to perform Chinese word segmentation on target comments in the Internet community that meet preset conditions using the user-defined dictionary, and obtain Chinese word segmentation results.

[0125] The annotation module 95 is used to perform BIO annotation on each target comment based on the topic keyword set and the Chinese word segmentation result to obtain annotated training data;

[0126] Training module 96 is used to perform deep learning training using the labeled training data and the BERT training model to obtain the topic keyword extraction model.

[0127] In one embodiment, preferably, the preset conditions include:

[0128] The comment has a greater historical number of likes than the preset number of likes.

[0129] In one embodiment, preferably, the annotation module is used for:

[0130] Each word in the Chinese word segmentation result is compared sequentially with the words in the topic keyword set;

[0131] When a word in the Chinese word segmentation result is the same as a word in the topic keyword set, the word is marked as a keyword; otherwise, it is marked as a non-keyword.

[0132] According to a third aspect of the present invention, a comment display device based on internet community comments and likes is provided, the device comprising:

[0133] processor;

[0134] Memory used to store processor-executable instructions;

[0135] The processor is configured as follows:

[0136] When a user likes any comment in an online community, the comment is identified using topic keywords.

[0137] When the comment is identified to contain topic keywords, it is determined whether there is a corresponding existing topic for the topic keywords in the internet community;

[0138] When the topic keyword has a corresponding existing topic, determine whether the number of hot posts in the existing topic is greater than or equal to a preset threshold.

[0139] When the number of hot posts in the existing topic is greater than or equal to a preset threshold, obtain the URL of the hot post list page corresponding to the existing topic, and associate the URL of the hot post list page with the topic keywords;

[0140] Highlight the relevant keywords in the comments.

[0141] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having computer instructions stored thereon, which, when executed by a processor, implement the steps of the method as described in any one of the embodiments of the second aspect.

[0142] Furthermore, it can be understood that in this invention, "multiple" refers to two or more, and other quantifiers are similar. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship. The singular forms "a," "the," and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0143] It is further understood that the terms "first," "second," etc., are used to describe various types of information, but this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another, and do not indicate a specific order or degree of importance. In fact, the expressions "first," "second," etc., are completely interchangeable. For example, without departing from the scope of this invention, first information can also be referred to as second information, and similarly, second information can also be referred to as first information.

[0144] It is further understood that although the operations are described in a specific order in the accompanying drawings in the embodiments of the present invention, this should not be construed as requiring these operations to be performed in the specific order or serial order shown, or requiring all the operations shown to obtain the desired result. In certain environments, multitasking and parallel processing may be advantageous.

[0145] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0146] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. An Internet community review point-based comment display method, characterized by, The method comprises: When receiving a like operation of a user on any comment in an Internet community, performing topic keyword identification on the comment; When identifying that the comment contains a topic keyword, determining whether the topic keyword has a corresponding existing topic in the Internet community; When the topic keyword has a corresponding existing topic, determining whether the number of hot posts in the existing topic is greater than or equal to a preset threshold; When the number of hot posts in the existing topic is greater than or equal to the preset threshold, obtaining a hot post list page URL corresponding to the existing topic, and associating the hot post list page URL with the topic keyword by website; Highlighting the topic keyword in the comment; Wherein, the topic keyword identification on the comment comprises: Performing topic keyword identification on the comment by using a pre-trained topic keyword extraction model; The method further comprises: Selecting a target topic name in the Internet community according to a preset time interval, wherein the target topic name has a post quantity greater than a preset quantity; Determining a topic keyword set according to the target topic name; Adding the topic keyword set to a user-defined word library of Chinese word segmentation; Performing Chinese word segmentation on target comments in the Internet community that meet a preset condition by using the user-defined word library to obtain a Chinese word segmentation result; Performing BIO tagging on each target comment according to the topic keyword set and the Chinese word segmentation result to obtain tagged training data; Performing deep learning training by using the tagged training data and a BERT training model to obtain the topic keyword extraction model.

2. The method of claim 1, wherein, The method further comprises: Receiving a selection or click command of the topic keyword, and jumping the display content to a page corresponding to the hot post list page URL according to the selection or click command.

3. The method of claim 1, wherein, The preset condition comprises: The historical like quantity of the comment is greater than a preset like quantity.

4. The method of claim 1, wherein, Performing BIO tagging on each target comment according to the topic keyword set and the Chinese word segmentation result to obtain tagged training data, comprises: Comparing each word in the Chinese word segmentation result with the words in the topic keyword set in turn; When the word in the Chinese word segmentation result is the same as the word in the topic keyword set, the word is tagged as a keyword, otherwise, it is tagged as a non-keyword.

5. A comment display device based on internet community comments and likes, characterized in that, A comment display method based on Internet community comment likes, the device comprises: An identification module for identifying a topic keyword in a comment when receiving a like operation of a user on any comment in an Internet community; A first determination module for determining whether the topic keyword has a corresponding existing topic in the Internet community when identifying that the comment contains a topic keyword; A second determination module for determining whether the number of hot posts in the existing topic is greater than or equal to a preset threshold when the topic keyword has a corresponding existing topic; The association module is configured to: when the number of hot posts in the existing topic is greater than or equal to a preset threshold, acquire a hot post list page URL corresponding to the existing topic, and associate the hot post list page URL with the topic keyword in a website address; The display module is configured to highlight the topic keyword in the comment. 6.A comment display device based on Internet community comment likes, characterized by, A comment display method based on Internet community comment likes, the apparatus comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: acquire a comment text to be displayed; when receiving a like operation of a user on any comment in an Internet community, identify a topic keyword in the comment; when identifying that the comment contains a topic keyword, determine whether the topic keyword has a corresponding existing topic in the Internet community; when the topic keyword has a corresponding existing topic, determine whether the number of hot posts in the existing topic is greater than or equal to a preset threshold; when the number of hot posts in the existing topic is greater than or equal to the preset threshold, acquire a hot post list page URL corresponding to the existing topic, and associate the hot post list page URL with the topic keyword in a website address; highlight the topic keyword in the comment.

7. A computer readable storage medium having stored thereon computer instructions, wherein, The instructions, when executed by the processor, implement the steps of the method of any one of claims 1-4. The instructions, when executed by the processor, implement the steps of the method of any one of claims 1-4.

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