Display method, device and device for display

Abstract

The embodiments of the present invention provide a display method, device and apparatus for display. The method includes: when identifying that the query information input by the user hits the target topic, obtaining target comment information corresponding to the target topic, the target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account categories; in the search result page of the query information, displaying the target comment information according to the account category classification. The embodiments of the present invention can prevent users from browsing the comment area of ​​the search result page one by one and viewing too many meaningless spam comments, so that users can quickly obtain more valuable comment information, reduce the user's operating cost of screening target comment information from massive comment information, and improve the efficiency of users in obtaining target comment information.

Description

Technical Field

[0001] The present invention relates to the field of network technology, and in particular to a display method, device, and a device for display. Background Art

[0002] With the rapid development of information technology and network technology, people are increasingly relying on the Internet to find the information they need. They can also comment on information they are interested in, such as hot news and posts, and express their opinions and views. Of course, they can also make secondary comments on other people's comments, or simply like them.

[0003] However, the search results found by users through search terms usually contain a large amount of comment information. Users need to browse the comment area of ​​the search results page one by one to find the comment information they are interested in, resulting in low efficiency in finding valid comment information among the massive comment information. Summary of the Invention

[0004] The embodiments of the present invention provide a display method, an apparatus, and an apparatus for display, which can reduce the operating cost of users in screening target comment information from massive comment information and improve the efficiency of users in obtaining target comment information.

[0005] In order to solve the above problems, an embodiment of the present invention discloses a display method, which includes:

[0006] When identifying that the query information input by the user hits a target topic, obtaining target review information corresponding to the target topic, the target review information including review information related to the target topic that is screened from at least one third-party platform and classified by account category;

[0007] In the search result page of the query information, the target review information is displayed according to the account category classification.

[0008] Optionally, obtaining target comment information corresponding to the target topic includes:

[0009] Searching at least one third-party platform based on the target topic to obtain relevant review information of the target topic;

[0010] Perform semantic recognition on the relevant comment information of the target topic to obtain valid comment information;

[0011] Performing account identification on the valid comment information to determine the account category corresponding to the valid comment information;

[0012] The valid comment information is clustered according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

[0013] Optionally, performing semantic recognition on the relevant comment information of the target topic to obtain valid comment information includes:

[0014] Identify the emotional tendency corresponding to each relevant comment information of the target topic;

[0015] The relevant comment information whose emotional tendency conforms to the first direction is determined to be valid comment information, and the relevant comment information whose emotional tendency conforms to the second direction is determined to be invalid comment information.

[0016] Optionally, after obtaining the valid comment information, the method further includes:

[0017] Counting relevant data of the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information;

[0018] The valid comment information is sorted according to relevant data of the valid comment information to obtain the top N valid comment information, where N is a positive integer.

[0019] Optionally, performing account identification on the valid comment information to determine the account category corresponding to the valid comment information includes:

[0020] Extracting the account ID of the valid comment information;

[0021] Obtaining identity association information of the account identifier, the identity association information including a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier;

[0022] The account category corresponding to the valid comment information is determined based on the account identifier and the identity association information of the account identifier.

[0023] Optionally, the method further includes:

[0024] Obtaining relevant comment information of the target comment information;

[0025] extracting target keywords from relevant comment information of the target comment information;

[0026] Marking the target review information with a tag based on the target keyword contained in the relevant review information of the target review information and the proportion of the target keyword contained;

[0027] The display of the target review information in the search result page of the query information according to the account category classification also includes:

[0028] The label corresponding to the target comment information is displayed at a relevant position of displaying the target comment information.

[0029] Optionally, displaying the target review information in the search result page of the query information according to the account category classification includes:

[0030] On the search result page of the query information, displaying a comment information interface in a reduced mode, wherein the comment information interface in the reduced mode includes key information of the target comment information;

[0031] In response to a triggering operation on the reduced mode comment information interface, an expanded mode comment information interface is displayed, wherein the expanded mode comment information interface includes at least one tab page, and the tab page is used to display target comment information of different account categories.

[0032] Optionally, the method further includes:

[0033] In the search result page of the query information, interactive comment information is displayed in the form of barrage, and the interactive comment information includes target comment information corresponding to the target topic and / or filtered comment information related to the target topic.

[0034] On the other hand, an embodiment of the present invention discloses a display device, comprising:

[0035] an information acquisition module, configured to, upon identifying that the query information input by the user hits a target topic, acquire target review information corresponding to the target topic, the target review information including review information related to the target topic, filtered from at least one third-party platform and classified by account category;

[0036] An information display module is used to display the target review information according to the account category classification in the search result page of the query information.

[0037] Optionally, the information acquisition module includes:

[0038] An information retrieval submodule, configured to search at least one third-party platform based on the target topic to obtain relevant comment information on the target topic;

[0039] A semantic recognition submodule is used to perform semantic recognition on the relevant comment information of the target topic to obtain valid comment information;

[0040] An account identification submodule, configured to perform account identification on the valid comment information and determine the account category corresponding to the valid comment information;

[0041] The information clustering submodule is used to cluster the valid comment information according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

[0042] Optionally, the semantic recognition submodule includes:

[0043] An emotion recognition unit, configured to recognize the emotion tendency corresponding to each relevant comment information of the target topic;

[0044] The information determination unit is configured to determine relevant comment information whose emotional tendency conforms to a first direction as valid comment information, and to determine relevant comment information whose emotional tendency conforms to a second direction as invalid comment information.

[0045] Optionally, the device further comprises:

[0046] A data statistics module, configured to collect statistics related to the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information;

[0047] The information sorting module is used to sort the valid comment information according to the relevant data of the valid comment information, and obtain the top N valid comment information, where N is a positive integer.

[0048] Optionally, the account identification submodule includes:

[0049] an identification extraction unit, configured to extract an account identification of the valid comment information;

[0050] an association obtaining unit, configured to obtain identity association information of the account identifier, wherein the identity association information includes a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier;

[0051] The category determination unit is configured to determine the account category corresponding to the valid comment information based on the account identifier and the identity association information of the account identifier.

[0052] Optionally, the device further comprises:

[0053] A related acquisition module, used to acquire related comment information of the target comment information;

[0054] A target extraction module, configured to extract target keywords from relevant comment information of the target comment information;

[0055] A label marking module is used to mark the target comment information with a label according to the target keyword contained in the relevant comment information of the target comment information and the proportion of the target keyword contained;

[0056] The device further comprises:

[0057] The label display module is used to display the label corresponding to the target comment information at a relevant position of displaying the target comment information.

[0058] Optionally, the information display module includes:

[0059] A first display submodule is configured to display a comment information interface in a reduced mode on a search result page of the query information, wherein the comment information interface in the reduced mode includes key information of the target comment information;

[0060] The second display submodule is used to display the comment information interface in the expanded mode in response to the triggering operation of the comment information interface in the reduced mode, wherein the comment information interface in the expanded mode includes at least one tab page, and the tab page is used to display target comment information of different account categories.

[0061] Optionally, the device further comprises:

[0062] The barrage display module is used to display interactive comment information in the form of barrage in the search result page of the query information, wherein the interactive comment information includes target comment information corresponding to the target topic and / or filtered comment information related to the target topic.

[0063] On the other hand, an embodiment of the present invention discloses a device for display, comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, and the one or more programs include instructions for performing one or more of the display methods described above.

[0064] On the other hand, an embodiment of the present invention discloses a machine-readable medium having instructions stored thereon. When the instructions are executed by one or more processors of a device, the device executes one or more of the aforementioned display methods.

[0065] The embodiments of the present invention include the following advantages:

[0066] In the embodiment of the present invention, during the user search process, when it is identified that the query information input by the user hits the target topic, in addition to obtaining the search results corresponding to the query information, the target comment information corresponding to the target topic hit by the query information is also obtained. The target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account categories. In the search results page of the query information, the target comment information is displayed according to the account category classification. Through the embodiment of the present invention, while displaying the search results to the user, valuable target comment information related to the query information can be displayed to the user in a classified manner, which can avoid the user browsing one by one in the comment area of ​​the search results page and viewing too many meaningless spam comments, so that the user can quickly obtain more valuable comment information, reduce the user's operating cost of screening target comment information from massive comment information, and improve the user's efficiency in obtaining target comment information. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0068] Figure 1 is a flowchart of steps of an embodiment of a display method of the present invention;

[0069] Figure 2 This is a schematic diagram of an interface for displaying comment information in a reduced mode on a search results page according to an embodiment of the present invention;

[0070] Figure 3 is a schematic diagram of a comment information interface in a reduced mode displayed on a search results page in a specific example of the present invention;

[0071] Figure 4 This is a schematic diagram of a comment information interface in an expanded mode displayed on a search results page according to an embodiment of the present invention;

[0072] Figure 5 is a schematic diagram of a comment information interface in an expanded mode displayed on a search results page in a specific example of the present invention;

[0073] Figure 6 It is a structural block diagram of an embodiment of a display device of the present invention;

[0074] Figure 7 is a block diagram of an apparatus 800 for display according to the present invention;

[0075] Figure 8 It is a schematic diagram of the structure of the server in some embodiments of the present invention. DETAILED DESCRIPTION

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0077] The terms "first", "second", etc. in the specification and claims of the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, the terms "and / or" in the specification and claims are used to describe the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. In the embodiments of the present invention, the term "multiple" refers to two or more, and other quantifiers are similar.

[0078] Method Example

[0079] Reference Figure 1 , shows a flowchart of a display method embodiment of the present invention, which may specifically include the following steps:

[0080] Step 101: When it is determined that the query information input by the user hits a target topic, target review information corresponding to the target topic is obtained, where the target review information includes review information related to the target topic that is screened from at least one third-party platform and classified by account category;

[0081] Step 102: On the search result page of the query information, display the target review information according to the account category classification.

[0082] The display method provided by the present invention can be applied to electronic devices, including but not limited to: servers, smart phones, voice recorders, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, car computers, desktop computers, set-top boxes, smart TVs, wearable devices, etc.

[0083] The embodiments of the present invention can be applied to various scenarios using search engine technology, including but not limited to general search engines and search engines within application programs.

[0084] The query information refers to the information entered by the user in the search box of the search engine. The query information is used to trigger a query request to obtain search results related to the query information. After receiving the query request triggered by the user, the electronic device responds to the query request and identifies whether the query information carried in the query request hits the target topic.

[0085] The target topic may be a preset topic, and may include, but is not limited to, any one or more of a target hot topic, a target news event, and a target entity. Entities refer to various objects and concepts that exist in the real world, such as names of people, places, events, organizations, brands, products, jobs, dates, and the like.

[0086] It should be noted that the embodiments of the present invention do not limit the specific type of the query information. The query information can be text information, voice information, image information, etc. When the query information is text information, the text information can be analyzed to identify whether the text information hits the target topic; when the query information is voice information, the voice information can be subjected to voice recognition to obtain the corresponding text information, and then the text information is analyzed; when the query information is image information, if the image information contains text content, the image information can be subjected to text recognition to obtain the corresponding text information, and then the text information is analyzed; if the image information does not contain text content, the image information can be subjected to image processing to identify the content contained in the image information, and to identify whether the content contained in the image information hits the target topic.

[0087] The identification that the query information input by the user hits the target topic includes but is not limited to: identifying that the query information input by the user and the target topic contain the same keywords, and / or identifying that the query information input by the user and the target topic contain the same entities, and / or identifying that the query information input by the user is semantically related to the target topic.

[0088] When identifying a target topic as being hit by a user-entered query, embodiments of the present invention not only obtain search results corresponding to the query but also obtain target review information corresponding to the target topic. The target review information includes review information related to the target topic, filtered from at least one third-party platform and categorized by account type.

[0089] In an example, assuming that the query information received from the user input is "Hongxing Erke donated 50 million", and assuming that the preset topics include the target topic "Hongxing Erke donated 50 million", it is determined that the query information hits the target topic. The embodiment of the present invention can obtain the search results corresponding to the query information "Hongxing Erke donated 50 million", and obtain the target comment information corresponding to the target topic. The target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account category. Among them, the account category can be used to represent the account field and / or account level of the comment information publisher. For example, in a specific application, the account category may include ordinary netizen accounts, official accounts, party accounts, big V accounts, etc.

[0090] In this example, it is assumed that the account category "Ordinary Netizen" includes 10 target comments filtered out and related to the target topic. The account category "Official" includes 15 target comments filtered out and related to the target topic. The account category "Parties" includes 10 target comments filtered out and related to the target topic. The account category "Big V" includes 5 target comments filtered out and related to the target topic. Then, on the search result page displaying the search results corresponding to the query information "Hongxing Erke donated 50 million", the target comment information contained in each account category can be displayed according to the above account category classification.

[0091] The embodiment of the present invention does not limit the specific form of displaying the target comment information in the search results page. In an optional embodiment of the present invention, step 102 of displaying the target comment information in the search results page of the query information according to the account category classification may include:

[0092] Step S11: displaying a reduced-mode review information interface on the search result page of the query information, wherein the reduced-mode review information interface includes key information of the target review information;

[0093] Step S12: In response to a triggering operation on the comment information interface in the reduced mode, the comment information interface in the expanded mode is displayed, wherein the comment information interface in the expanded mode includes at least one tab page, and the tab page is used to display target comment information of different account categories.

[0094] When the query information input by the user is identified as hitting the target topic, the embodiment of the present invention displays the search results corresponding to the query information on the search results page. In addition, the search results page for the query information displays a reduced-mode review information interface, which includes key information of the target review information.

[0095] Among them, the comment information interface is used to display the target comment information. The reduced mode can only display a part of the comment information interface. The key information can be part of the target comment information displayed in the comment information interface. For example, the key information can be the complete content of a certain target comment information in the comment information interface, or the key information can be the content summary of a certain target comment information in the comment information interface, or the key information can be the target comment information ranked first in the comment information interface, etc. It can be understood that the embodiment of the present invention does not limit the specific content of the key information.

[0096] Reference Figure 2 , shows a schematic diagram of a review information interface for displaying a reduced mode in a search result page according to an embodiment of the present invention. Figure 2 The search results page shown displays the search results and the comment information interface in the reduced mode. Optionally, the comment information interface in the reduced mode may also display a trigger button for triggering the expanded mode. Optionally, the comment information interface in the reduced mode may also display a switch button for switching key information, such as switching to display the previous target comment information or switching to display the next target comment information.

[0097] It should be noted that the embodiment of the present invention does not limit the display method of the comment information interface in the reduced mode. Optionally, the comment information interface in the reduced mode can be displayed at the bottom of the search results page. Of course, in a specific implementation, the comment information interface in the reduced mode can also be displayed above or to the side of the search results page.

[0098] Reference Figure 3 , shows a schematic diagram of a review information interface for displaying a reduced mode on a search results page in a specific example of the present invention. As shown in the "Reviews from Various Parties" section at the bottom of the interface.

[0099] When an embodiment of the present invention receives a user trigger operation on the comment information interface in the reduced mode, such as a trigger operation performed on a trigger button in the comment information interface in the reduced mode, the comment information interface in the expanded mode is displayed in response to the trigger operation.

[0100] In an embodiment of the present invention, a trigger operation includes, but is not limited to, a mouse click operation, such as a left-click, a left-double-click, a right-click, a right-double-click, and a touch operation on a touch screen of an electronic device. A touch operation can be achieved by bringing a target object (such as a finger, a stylus, etc.) close to or in contact with the touch screen of the electronic device. In one example, the touch operation can include a click operation (including a single click, a double click, and a triple click), a long press operation, and a slide operation.

[0101] Furthermore, the trigger operation may include a gesture operation, which may be a gesture trajectory, etc.; or the trigger operation may be a combination of a gesture operation and a device input operation other than a gesture operation. For example, it may be a combination of a gesture operation and a key operation of a function key on an electronic device; it may also be a combination of a gesture operation and a voice control operation; it may also be a combination of a gesture operation and a touch operation; or it may also be a combination of a gesture operation and a fingerprint collection operation, etc. Accordingly, the devices other than the gesture operation mentioned above may be function keys, touch screens, fingerprint collection devices, or voice collection devices of the electronic device, etc.

[0102] The expanded mode can display a complete comment information interface, wherein the expanded mode comment information interface includes at least one tab page, and the tab page is used to display target comment information of different account categories.

[0103] Reference Figure 4 , shows a schematic diagram of a comment information interface in an expanded mode displayed on a search result page according to an embodiment of the present invention. Figure 4 The search result page shown displays the comment information interface in the expanded mode in a pop-up form. The comment information interface displayed in the expanded mode can be overlaid on top of the search result interface. The comment information interface in the expanded mode includes the following 4 tabs: Netizen Opinions, Official, Parties, and Big V Comments. The "Netizen Opinions" tab is used to display the target comment information included in the account category "Ordinary Netizens". The "Official" tab is used to display the target comment information included in the account category "Official". The "Party" tab is used to display the target comment information included in the account category "Party". The "Big V Comments" tab is used to display the target comment information included in the account category "Big V". Different tabs can be switched for display. Figure 3 As shown, the current interface displays the "Netizen Opinions" tab.

[0104] It should be noted that the embodiment of the present invention does not limit the display mode of the comment information interface in the expanded mode. Optionally, the comment information interface in the expanded mode can be displayed in a pop-up layer form, including a pop-up window, a floating layer, a layer, etc.

[0105] Reference Figure 5 , showing a schematic diagram of a comment information interface in an expanded mode displayed on a search results page in a specific example of the present invention.

[0106] In the embodiment of the present invention, during the user search process, in addition to obtaining the search results corresponding to the query information, the target comment information corresponding to the target topic hit by the query information is also obtained. The target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account categories. In the search results page of the query information, the target comment information is displayed according to the account category classification. Through the embodiment of the present invention, while displaying the search results to the user, valuable target comment information related to the query information can be displayed to the user in a classified manner, which can prevent the user from viewing too many meaningless junk comments, allowing the user to quickly obtain more valuable comment information, reducing the user's operating cost of screening target comment information from massive comment information, and improving the user's efficiency in obtaining target comment information.

[0107] In an optional embodiment of the present invention, obtaining target comment information corresponding to the target topic in step 101 may include:

[0108] Step S21: searching at least one third-party platform based on the target topic to obtain relevant comment information of the target topic;

[0109] Step S22: performing semantic recognition on the relevant comment information of the target topic to obtain valid comment information;

[0110] Step S23: performing account identification on the valid comment information to determine the account category corresponding to the valid comment information;

[0111] Step S24: cluster the valid comment information according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

[0112] For a certain target topic, a unique identifier (ID) corresponding to the target topic can be created. Based on the target topic, a search is performed in at least one third-party platform to obtain relevant comment information of the target topic. Among them, the third-party platform can be any network platform, such as various news media websites. In addition, the embodiment of the present invention can also obtain topics related to the target topic, and associate the related topics with the unique identifier (ID) corresponding to the target topic, and then use the comment information of the topics related to the target topic as the relevant comment information of the target topic. Based on the unique identifier (ID) corresponding to the target topic, comment information related to the target topic can be gathered from the entire network.

[0113] In one example, the target topic may be a popular online event. Since the rise of a popular online event is generally accompanied by a large number of news reports, when the target topic is a popular online event, the relevant commentary information searched for the target topic may be news report texts related to the popular online event and the corresponding news commentary texts crawled from various news media websites.

[0114] After retrieving and obtaining the relevant comment information of the target topic, semantic recognition may be performed on the relevant comment information of the target topic to obtain valid comment information.

[0115] Semantic recognition is performed on the relevant comment information of the target topic to filter out worthless comment information. The worthless comment information includes at least one or more of the following: comment information containing repeated meaningless words, comment information containing uncivilized language, and comment information containing duplicate content. Among them, comment information containing repeated meaningless words includes: hahahahahahahaha, hehehehehe, hahahahi, etc. Comment information containing duplicate content refers to comment information that copies the comments of others.

[0116] Furthermore, semantic recognition can be performed on the relevant comment information of the target topic, and comment information that does not meet the emotional tendency can be filtered out.

[0117] In an optional embodiment of the present invention, performing semantic recognition on the relevant comment information of the target topic to obtain valid comment information in step S22 may include:

[0118] Step S221: Identify the emotional tendency corresponding to each relevant comment information of the target topic;

[0119] Step S222: Determine the relevant comment information whose emotional tendency conforms to the first direction as valid comment information, and determine the relevant comment information whose emotional tendency conforms to the second direction as invalid comment information.

[0120] Among them, emotional tendencies can include positive, negative, and neutral tendencies.

[0121] In an optional embodiment, the first direction may include positive and neutral, and the second direction may include negative. The embodiment of the present invention may determine that relevant comment information whose emotional tendency conforms to the first direction is valid comment information, and determine that relevant comment information whose emotional tendency conforms to the second direction is invalid comment information. Of course, in specific applications, the first direction and the second direction may be determined according to actual needs. For example, it may be determined that the first direction includes neutral and negative, and that the second direction includes positive, etc.

[0122] It should be noted that the embodiment of the present invention does not limit the specific method of identifying the emotional tendency corresponding to each piece of relevant comment information of the target topic.

[0123] Optionally, semantic recognition can be performed on each relevant comment information of the target topic to extract emotion-related keywords contained therein, and the emotion tendency corresponding to each relevant comment information of the target topic can be determined based on the extracted emotion-related keywords. For example, if positive emotion-related keywords are extracted from a piece of relevant comment information, the emotion tendency corresponding to the piece of relevant comment information can be determined to be positive; if negative emotion-related keywords are extracted from a piece of relevant comment information, the emotion tendency corresponding to the piece of relevant comment information can be determined to be negative; otherwise, the emotion tendency corresponding to the piece of relevant comment information can be determined to be neutral.

[0124] Optionally, an emotion recognition model for identifying emotional tendencies may be pre-trained, and the relevant comment information of the target topic may be sequentially input into the emotion recognition model, through which the emotional tendencies corresponding to the relevant comment information of the target topic may be output.

[0125] The emotion recognition model can be obtained by supervised training of an existing neural network based on a large number of training samples and machine learning methods. The training samples of the emotion recognition model may include a large amount of collected historical comment information and emotional tendency annotation data of each historical comment information. It should be noted that the embodiment of the present invention does not limit the model structure and training method of the emotion recognition model. The emotion recognition model can integrate multiple neural networks. The neural network includes but is not limited to a combination, superposition, and nesting of at least one or at least two of the following: CNN (Convolutional Neural Network), LSTM (Long Short-Term Memory) network, RNN (Simple Recurrent Neural Network), attention neural network, etc.

[0126] In an optional embodiment of the present invention, after obtaining the valid comment information, the method may further include:

[0127] Step S31: Count relevant data of the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information;

[0128] Step S32: Sort the valid comment information according to the relevant data of the valid comment information to obtain the top N valid comment information, where N is a positive integer.

[0129] After performing semantic recognition on the relevant comment information of the target topic and obtaining valid comment information, the embodiment of the present invention can further sort the obtained valid comment information to filter out the top N high-quality comment information from the valid comment information.

[0130] Specifically, relevant data of the valid comment information may be counted, and the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information.

[0131] By sorting the valid review information based on its relevant data, the top N valid review information can be obtained. The top N valid review information is selected as high-quality review information. Thus, the embodiment of the present invention can provide users with higher-quality target review information, further reducing the user's operating cost of browsing worthless junk review information.

[0132] In an optional embodiment of the present invention, performing account identification on the valid comment information and determining the account category corresponding to the valid comment information in step S23 may include:

[0133] Step S231: extracting the account ID of the valid comment information;

[0134] Step S232: Acquire identity association information of the account identifier, where the identity association information includes a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier;

[0135] Step S233: Determine the account category corresponding to the valid comment information based on the account identifier and the identity association information of the account identifier.

[0136] In the embodiment of the present invention, the account category may be used to indicate the account domain and / or account level of the comment information publisher.

[0137] After performing semantic recognition on the relevant comment information of the target topic to obtain valid comment information, or after sorting the obtained valid comment information to obtain the top N valid comment information, the embodiment of the present invention extracts the account identifier of the valid comment information and obtains the identity association information of the account identifier.

[0138] The account identifier may include an account ID and / or an account name. The identity association information of the account identifier may include a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier.

[0139] Relationship graphs and data visualization technologies can present data in a structured and visual manner, establishing a keyword-centric knowledge system and demonstrating the relationships between data. For example, a social network diagram reflecting the real world can be constructed based on people, things, places, and objects, and entity-relationship-event relationships. In a relationship graph, relationships can exist between objects in the entity category, between objects in the entity category and objects in the event category, and between objects in the event category and objects in the event category.

[0140] The third-party authentication information refers to the authentication information assigned to the account identifier by the third-party platform after the account identifier is authenticated by the third-party platform. For example, after an account information is authenticated by the Weibo platform, the Weibo platform assigns the account identifier "Big V" authentication information.

[0141] According to the account identifier of the publisher of a certain valid comment information and the identity association information of the account identifier, the account category corresponding to the valid comment information can be obtained.

[0142] For example, for a valid comment message, assuming that the extracted publisher's account ID contains a keyword representing a public security management department in a certain region, by querying the relationship graph based on the keyword, it can be determined that the account ID belongs to an official account.

[0143] Optionally, the embodiment of the present invention may also pre-train an account identification model for identifying account categories, input the account identifier of the valid comment information into the account identification model, and output the account category corresponding to the account identifier through the account identification model.

[0144] The account identification model can be obtained by supervised training of an existing neural network based on a large number of training samples and machine learning methods. The training samples for the account identification model can include a large number of collected account identifiers and account category annotation data for each account identifier. It should be noted that the embodiments of the present invention do not limit the model structure and training methods of the account identification model. The account identification model can integrate multiple neural networks. Such neural networks include but are not limited to at least one of the following, or a combination, superposition, or nesting of at least two of the following: CNN networks, LSTM networks, RNN networks, attention neural networks, etc.

[0145] In an optional embodiment of the present invention, the method may further include:

[0146] Step S41: Obtain relevant comment information of the target comment information;

[0147] Step S42: extract target keywords from the relevant comment information of the target comment information;

[0148] Step S43: label the target comment information according to the target keyword contained in the relevant comment information of the target comment information and the proportion of the target keyword contained.

[0149] In addition to displaying target review information by account category, embodiments of the present invention may also tag the target review information with corresponding tags based on its related review information. When displaying target review information by category, tags corresponding to different target review information may also be displayed to highlight the uniqueness of the target review information.

[0150] Specifically, the embodiment of the present invention can obtain relevant comment information of the target comment information. The relevant comment information of the target comment information refers to the comment information made by other users on the target comment information. The embodiment of the present invention identifies and extracts target keywords from the relevant comment information of the target comment information.

[0151] The target keywords may include information such as text used to evaluate, support, or oppose the target comment information. For example, the target keywords may include text information such as "top", "wonderful", "like", "awesome", "support", "oppose", "agree", "excellent", and "well said". The embodiment of the present invention identifies the target keywords contained in the relevant comment information of each target comment information, and counts the proportion of each target keyword contained in the relevant comment information of each target comment information. According to the target keywords contained in the relevant comment information of each target comment information and the proportion of the target keywords contained, each target comment information is marked with a corresponding label. Of course, target comment information that does not contain the target keyword may not be marked with a label.

[0152] In one example, assuming that the target keyword "like" contained in the relevant comments of a certain target comment information has a high proportion, the target comment information can be tagged with "high like". In another example, assuming that the target keyword "excellent review" contained in the relevant comments of a certain target comment information has a high proportion, the target comment information can be tagged with "excellent review".

[0153] Optionally, the embodiment of the present invention may also pre-train a label prediction model for predicting labels, input relevant comment information of a certain target comment information into the label prediction model, and output the label corresponding to the target comment information through the label prediction model.

[0154] The label prediction model can be obtained by supervised training of an existing neural network based on a large number of training samples and machine learning methods. The training samples of the label prediction model may include a large amount of collected historical comment information and label annotation data for each historical comment information. It should be noted that the embodiment of the present invention does not limit the model structure and training method of the label prediction model. The label prediction model can integrate multiple neural networks. The neural network includes but is not limited to the combination, superposition, and nesting of at least one or at least two of the following: CNN network, LSTM network, RNN network, attention neural network, etc.

[0155] In an optional embodiment of the present invention, step 102 of displaying the target review information by the account category on the search result page of the query information may further include:

[0156] The label corresponding to the target comment information is displayed at a relevant position of displaying the target comment information.

[0157] In an embodiment of the present invention, when displaying the target comment information according to the account category in the search result page of the query information, a label corresponding to the target comment information may also be displayed at a relevant location where the target comment information is displayed. For example, for a certain target comment information, the label is marked as "God Comment", then when the target comment information is displayed, the label "God Comment" may be displayed at a relevant location where the target comment information is displayed. For another example, for another target comment information, the label is marked as "The King of Stories", then when the target comment information is displayed, the label "The King of Stories" may be displayed at a relevant location where the target comment information is displayed.

[0158] The relevant position may include any position near the target comment information, such as the upper left corner or the upper right corner of the target comment information.

[0159] Optionally, the embodiment of the present invention may provide two methods of obtaining target comment information corresponding to the target topic: an offline method and an online method.

[0160] The offline method involves directly querying and obtaining target review information corresponding to a target topic based on a pre-built database. Specifically, a database can be constructed that includes target review information corresponding to pre-built preset topics, where the target review information in the database is categorized by account type. When it is determined that the query information entered by the user hits the target topic, the target topic hit by the query information is used as a keyword to search the pre-built database, and the target review information corresponding to the target topic can be directly obtained.

[0161] The online method means that when the query information input by the user is received and it is identified that the query information input by the user hits the target topic, relevant comment information of the target topic is retrieved in real time in at least one third-party platform, and the retrieved relevant comment information is processed and classified in real time to obtain the target comment information corresponding to the target topic.

[0162] Of course, a combination of offline and online methods can also be adopted, and the offline constructed database can be synchronously updated using the target review information corresponding to the target topic obtained online.

[0163] In an optional embodiment of the present invention, the method may further include:

[0164] In the search result page of the query information, interactive comment information is displayed in the form of barrage, and the interactive comment information includes target comment information corresponding to the target topic and / or filtered comment information related to the target topic.

[0165] The embodiment of the present invention can also display interactive comment information in the form of bullet screens on the search result page of the query information to increase the diversity of comment information display and increase user interactivity.

[0166] The interactive comment information displayed in the form of barrage may include target comment information corresponding to the target topic and / or filtered comment information related to the target topic.

[0167] The filtered comment information related to the target topic may include relevant comment information whose emotional tendency identified in step S221 conforms to the second direction.

[0168] In an optional embodiment, the filtered out review information of lower value can be displayed in the form of barrage in the search result page of the query information to create an atmosphere and mobilize user interactivity; and the filtered out target review information of higher value can be displayed in a fixed form to facilitate users to quickly obtain high-quality review information.

[0169] In another optional embodiment, all relevant comment information of the target topic (including filtered comment information and screened target comment information) can be displayed in the form of barrage in the search result page of the query information to create an atmosphere and mobilize user interactivity; and the screened target comment information with higher value can be displayed in a fixed form to facilitate users to quickly obtain high-quality comment information.

[0170] It should be noted that the embodiment of the present invention does not limit the specific display position of the interactive comment information in the form of a bullet screen. Optionally, the interactive comment information can be displayed in the form of a bullet screen in the title part of the first search result in the search results page.

[0171] Thus, through embodiments of the present invention, while displaying search results on a search results page, target comments related to the query information can be displayed in a categorized manner. This includes displaying interactive comment information in the form of bullet screens, and displaying target comments from different account categories in the form of tabs. By displaying comment information in a variety of formats and categories, users can reduce the operational cost of filtering target comments from a large amount of comment information and improve the efficiency of users in obtaining target comments.

[0172] In an optional embodiment of the present invention, the method may further include:

[0173] Step S51: upon receiving a forwarding request for the target comment information, generating forwarding information corresponding to the target comment information;

[0174] Step S52: In response to the forwarding request, send the forwarding information to the target application.

[0175] The forwarding information may include any one or more combinations of text information, image information, graphic and text information, and link information. Through the link information, the user may jump to the original page of the forwarded target comment information.

[0176] Through the embodiment of the present invention, the target review information displayed on the search result page can be forwarded or shared to the target application, so that the user can recommend the target review information of interest to friends or forward it.

[0177] In summary, in the embodiment of the present invention, during the user search process, when identifying that the query information input by the user hits the target topic, in addition to obtaining the search results corresponding to the query information, the target comment information corresponding to the target topic hit by the query information is also obtained. The target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account categories. In the search results page of the query information, the embodiment of the present invention displays the target comment information according to the account category classification. Through the embodiment of the present invention, while displaying the search results to the user, valuable target comment information related to the query information can be displayed to the user in a classified manner, which can avoid the user browsing one by one in the comment area of ​​the search results page and viewing too many meaningless spam comments, so that the user can quickly obtain more valuable comment information, reduce the user's operating cost of screening target comment information from massive comment information, and improve the user's efficiency in obtaining target comment information.

[0178] It should be noted that for the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0179] Device embodiment

[0180] Reference Figure 6 , shows a structural block diagram of an embodiment of a display device of the present invention, the device may include:

[0181] An information acquisition module 601 is configured to, upon identifying that the query information input by the user hits a target topic, acquire target review information corresponding to the target topic, wherein the target review information includes review information related to the target topic that is screened from at least one third-party platform and categorized by account type;

[0182] The information display module 602 is configured to display the target review information in the search result page of the query information according to the account category.

[0183] Optionally, the information acquisition module includes:

[0184] An information retrieval submodule, configured to search at least one third-party platform based on the target topic to obtain relevant comment information on the target topic;

[0185] A semantic recognition submodule is used to perform semantic recognition on the relevant comment information of the target topic to obtain valid comment information;

[0186] An account identification submodule, configured to perform account identification on the valid comment information and determine the account category corresponding to the valid comment information;

[0187] The information clustering submodule is used to cluster the valid comment information according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

[0188] Optionally, the semantic recognition submodule includes:

[0189] An emotion recognition unit, configured to recognize the emotion tendency corresponding to each relevant comment information of the target topic;

[0190] The information determination unit is configured to determine relevant comment information whose emotional tendency conforms to a first direction as valid comment information, and to determine relevant comment information whose emotional tendency conforms to a second direction as invalid comment information.

[0191] Optionally, the device further comprises:

[0192] A data statistics module, configured to collect statistics related to the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information;

[0193] The information sorting module is used to sort the valid comment information according to the relevant data of the valid comment information, and obtain the top N valid comment information, where N is a positive integer.

[0194] Optionally, the account identification submodule includes:

[0195] an identification extraction unit, configured to extract an account identification of the valid comment information;

[0196] an association obtaining unit, configured to obtain identity association information of the account identifier, wherein the identity association information includes a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier;

[0197] The category determination unit is configured to determine the account category corresponding to the valid comment information based on the account identifier and the identity association information of the account identifier.

[0198] Optionally, the device further comprises:

[0199] A related acquisition module, used to acquire related comment information of the target comment information;

[0200] A target extraction module, configured to extract target keywords from relevant comment information of the target comment information;

[0201] A label marking module is used to mark the target comment information with a label according to the target keyword contained in the relevant comment information of the target comment information and the proportion of the target keyword contained;

[0202] The device further comprises:

[0203] The label display module is used to display the label corresponding to the target comment information at a relevant position of displaying the target comment information.

[0204] Optionally, the information display module includes:

[0205] A first display submodule is configured to display a comment information interface in a reduced mode on a search result page of the query information, wherein the comment information interface in the reduced mode includes key information of the target comment information;

[0206] The second display submodule is used to display the comment information interface in the expanded mode in response to the triggering operation of the comment information interface in the reduced mode, wherein the comment information interface in the expanded mode includes at least one tab page, and the tab page is used to display target comment information of different account categories.

[0207] Optionally, the device further comprises:

[0208] The barrage display module is used to display interactive comment information in the form of barrage in the search result page of the query information, wherein the interactive comment information includes target comment information corresponding to the target topic and / or filtered comment information related to the target topic.

[0209] Optionally, the device further comprises:

[0210] A poster generation module, configured to generate poster information corresponding to the target comment information when receiving a forwarding request for the target comment information;

[0211] The information forwarding module is configured to forward the poster information to a target application in response to the forwarding request.

[0212] In the embodiment of the present invention, during the user search process, when it is identified that the query information input by the user hits the target topic, in addition to obtaining the search results corresponding to the query information, the target comment information corresponding to the target topic hit by the query information is also obtained. The target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account categories. In the search results page of the query information, the target comment information is displayed according to the account category classification. Through the embodiment of the present invention, while displaying the search results to the user, valuable target comment information related to the query information can be displayed to the user in a classified manner, which can avoid the user browsing one by one in the comment area of ​​the search results page and viewing too many meaningless spam comments, so that the user can quickly obtain more valuable comment information, reduce the user's operating cost of screening target comment information from massive comment information, and improve the user's efficiency in obtaining target comment information.

[0213] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0214] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0215] Regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0216] An embodiment of the present invention provides a device for display, comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, wherein the one or more programs include instructions for performing the following operations: upon identifying that query information input by a user hits a target topic, obtaining target comment information corresponding to the target topic, wherein the target comment information includes comment information related to the target topic that is screened from at least one third-party platform and classified according to account categories; and displaying the target comment information in the search result page of the query information according to the account category classification.

[0217] Optionally, obtaining target comment information corresponding to the target topic includes:

[0218] Searching at least one third-party platform based on the target topic to obtain relevant review information of the target topic;

[0219] Perform semantic recognition on the relevant comment information of the target topic to obtain valid comment information;

[0220] Performing account identification on the valid comment information to determine the account category corresponding to the valid comment information;

[0221] The valid comment information is clustered according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

[0222] Optionally, performing semantic recognition on the relevant comment information of the target topic to obtain valid comment information includes:

[0223] Identify the emotional tendency corresponding to each relevant comment information of the target topic;

[0224] The relevant comment information whose emotional tendency conforms to the first direction is determined to be valid comment information, and the relevant comment information whose emotional tendency conforms to the second direction is determined to be invalid comment information.

[0225] Optionally, the device is further configured to execute, by one or more processors, the one or more programs comprising instructions for performing the following operations:

[0226] Counting relevant data of the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information;

[0227] The valid comment information is sorted according to relevant data of the valid comment information to obtain the top N valid comment information, where N is a positive integer.

[0228] Optionally, performing account identification on the valid comment information to determine the account category corresponding to the valid comment information includes:

[0229] Extracting the account ID of the valid comment information;

[0230] Obtaining identity association information of the account identifier, the identity association information including a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier;

[0231] The account category corresponding to the valid comment information is determined based on the account identifier and the identity association information of the account identifier.

[0232] Optionally, the device is further configured to execute, by one or more processors, the one or more programs comprising instructions for performing the following operations:

[0233] Obtaining relevant comment information of the target comment information;

[0234] extracting target keywords from relevant comment information of the target comment information;

[0235] Marking the target review information with a tag based on the target keyword contained in the relevant review information of the target review information and the proportion of the target keyword contained;

[0236] The display of the target review information in the search result page of the query information according to the account category classification also includes:

[0237] The label corresponding to the target comment information is displayed at a relevant position of displaying the target comment information.

[0238] Optionally, displaying the target review information in the search result page of the query information according to the account category classification includes:

[0239] On the search result page of the query information, displaying a comment information interface in a reduced mode, wherein the comment information interface in the reduced mode includes key information of the target comment information;

[0240] In response to a triggering operation on the reduced mode comment information interface, an expanded mode comment information interface is displayed, wherein the expanded mode comment information interface includes at least one tab page, and the tab page is used to display target comment information of different account categories.

[0241] Optionally, the device is further configured to execute, by one or more processors, the one or more programs comprising instructions for performing the following operations:

[0242] In the search result page of the query information, interactive comment information is displayed in the form of barrage, and the interactive comment information includes target comment information corresponding to the target topic and / or filtered comment information related to the target topic.

[0243] Figure 7 FIG8 is a block diagram of an apparatus 800 for display according to an exemplary embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0244] Reference Figure 7 , the device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output (I / O) interface 812 , a sensor component 814 , and a communication component 816 .

[0245] The processing component 802 generally controls the overall operation of the device 800, such as operations associated with display, phone calls, data communications, camera operation, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 802 may include one or more modules to facilitate interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

[0246] The memory 804 is configured to store various types of data to support operations on the device 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0247] The power supply component 806 provides power to the various components of the device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 800.

[0248] The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor can not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have a focal length and optical zoom capability.

[0249] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), which is configured to receive external audio signals when the device 800 is in an operating mode, such as a call mode, a recording mode, and a voice information processing mode. The received audio signal can be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0250] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as a keyboard, click wheel, buttons, etc. These buttons may include but are not limited to: a home button, volume buttons, a start button, and a lock button.

[0251] The sensor assembly 814 includes one or more sensors for providing various aspects of the status assessment of the device 800. For example, the sensor assembly 814 can detect the open / closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800. The sensor assembly 814 can also display changes in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration / deceleration of the device 800, and temperature changes of the device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0252] The communication component 816 is configured to facilitate wired or wireless communication between the device 800 and other devices. The device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency information processing (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0253] In an exemplary embodiment, the apparatus 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described method.

[0254] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, and the instructions can be executed by the processor 820 of the apparatus 800 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0255] Figure 8 1 is a schematic diagram of the structure of a server in some embodiments of the present invention. The server 1900 may vary greatly due to different configurations or performance, and may include one or more central processing units (CPUs) 1922 (for example, one or more processors) and memory 1932, and one or more storage media 1930 (for example, one or more mass storage devices) storing application programs 1942 or data 1944. Among them, the memory 1932 and the storage medium 1930 can be temporary storage or permanent storage. The program stored in the storage medium 1930 may include one or more modules (not shown in the figure), each module may include a series of instruction operations on the server. Furthermore, the central processing unit 1922 can be configured to communicate with the storage medium 1930 to execute a series of instruction operations in the storage medium 1930 on the server 1900.

[0256] The server 1900 may also include one or more power supplies 1926, one or more wired or wireless network interfaces 1950, one or more input and output interfaces 1958, one or more keyboards 1956, and / or one or more operating systems 1941, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.

[0257] A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of a device (server or terminal), enables the device to perform Figure 1 The display method shown.

[0258] A non-temporary computer-readable storage medium, when the instructions in the storage medium are executed by the processor of a device (server or terminal), enables the device to perform a display method, the method comprising: when identifying that the query information input by the user hits the target topic, obtaining target comment information corresponding to the target topic, the target comment information including comment information related to the target topic screened from at least one third-party platform and classified according to account categories; in the search result page of the query information, displaying the target comment information according to the account category classification.

[0259] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow from the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

[0260] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

[0261] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0262] The above is a detailed introduction to a display method, a display device and a device for display provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A display method, characterized in that: The method comprises: When identifying that query information entered by a user in a search box of a search engine hits a target topic, obtaining target review information corresponding to the target topic, the target review information including review information related to the target topic that is screened from at least one third-party platform and classified by account category; On the search result page of the query information, while displaying the search results corresponding to the query information, the filtered target review information is displayed according to the account category classification; In the search result page of the query information, interactive comment information is displayed in the form of bullet screen, and the interactive comment information includes filtered comment information related to the target topic.

2. The method according to claim 1, characterized in that The obtaining of target review information corresponding to the target topic includes: Searching at least one third-party platform based on the target topic to obtain relevant review information of the target topic; Perform semantic recognition on the relevant comment information of the target topic to obtain valid comment information; Performing account identification on the valid comment information to determine the account category corresponding to the valid comment information; The valid comment information is clustered according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

3. The method according to claim 2, characterized in that The semantic recognition of the relevant comment information of the target topic to obtain valid comment information includes: Identify the emotional tendency corresponding to each relevant comment information of the target topic; The relevant comment information whose emotional tendency conforms to the first direction is determined to be valid comment information, and the relevant comment information whose emotional tendency conforms to the second direction is determined to be invalid comment information.

4. The method according to claim 2, characterized in that After obtaining the valid comment information, the method further includes: Counting relevant data of the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information; The valid comment information is sorted according to relevant data of the valid comment information to obtain the top N valid comment information, where N is a positive integer.

5. The method according to claim 2, characterized in that The performing account identification on the valid comment information to determine the account category corresponding to the valid comment information includes: Extracting the account ID of the valid comment information; Obtaining identity association information of the account identifier, the identity association information including a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier; The account category corresponding to the valid comment information is determined based on the account identifier and the identity association information of the account identifier.

6. The method according to claim 1, characterized in that The method further comprises: Obtaining relevant comment information of the target comment information; extracting target keywords from relevant comment information of the target comment information; Marking the target review information with a tag based on the target keyword contained in the relevant review information of the target review information and the proportion of the target keyword contained; The display of the target review information in the search result page of the query information according to the account category classification also includes: The label corresponding to the target comment information is displayed at a relevant position of displaying the target comment information.

7. The method according to claim 1, characterized in that In the search result page of the query information, the target review information is displayed according to the account category, including: On the search result page of the query information, displaying a comment information interface in a reduced mode, wherein the comment information interface in the reduced mode includes key information of the target comment information; In response to a triggering operation on the reduced mode comment information interface, an expanded mode comment information interface is displayed, wherein the expanded mode comment information interface includes at least one tab page, and the tab page is used to display target comment information of different account categories.

8. The method according to claim 1, characterized in that The interactive comment information also includes target comment information corresponding to the target topic.

9. A display device, characterized in that: The device comprises: An information acquisition module, configured to, upon recognizing that query information entered by a user in a search box of a search engine hits a target topic, acquire target review information corresponding to the target topic, the target review information including review information related to the target topic that is screened from at least one third-party platform and categorized by account category; An information display module is used to display the search results corresponding to the query information on the search results page of the query information while displaying the filtered target comment information according to the account category classification; it is also used to display interactive comment information in the form of barrage on the search results page of the query information, and the interactive comment information includes filtered comment information related to the target topic.

10. The device according to claim 9, characterized in that The information acquisition module includes: An information retrieval submodule, configured to search at least one third-party platform based on the target topic to obtain relevant comment information on the target topic; A semantic recognition submodule is used to perform semantic recognition on the relevant comment information of the target topic to obtain valid comment information; An account identification submodule, configured to perform account identification on the valid comment information and determine the account category corresponding to the valid comment information; The information clustering submodule is used to cluster the valid comment information according to the identified account categories to obtain target comment information corresponding to each account category of the target topic.

11. The device according to claim 10, characterized in that The semantic recognition submodule includes: An emotion recognition unit, configured to recognize the emotion tendency corresponding to each relevant comment information of the target topic; The information determination unit is configured to determine relevant comment information whose emotional tendency conforms to a first direction as valid comment information, and to determine relevant comment information whose emotional tendency conforms to a second direction as invalid comment information.

12. The device according to claim 10, characterized in that The device further comprises: A data statistics module, configured to collect statistics related to the valid comment information, wherein the relevant data includes at least one of the number of comments, the number of likes, and the number of reposts of the valid comment information; The information sorting module is used to sort the valid comment information according to the relevant data of the valid comment information, and obtain the top N valid comment information, where N is a positive integer.

13. The device according to claim 10, characterized in that The account identification submodule includes: an identification extraction unit, configured to extract an account identification of the valid comment information; an association obtaining unit, configured to obtain identity association information of the account identifier, wherein the identity association information includes a relationship graph corresponding to the account identifier and / or third-party authentication information corresponding to the account identifier; The category determination unit is configured to determine the account category corresponding to the valid comment information based on the account identifier and the identity association information of the account identifier.

14. The device according to claim 9, characterized in that The device further comprises: A related acquisition module, used to acquire related comment information of the target comment information; A target extraction module, configured to extract target keywords from relevant comment information of the target comment information; A label marking module is used to mark the target comment information with a label according to the target keyword contained in the relevant comment information of the target comment information and the proportion of the target keyword contained; The label display module is used to display the label corresponding to the target comment information at a relevant position of displaying the target comment information.

15. The device according to claim 9, characterized in that The information display module includes: A first display submodule is configured to display a comment information interface in a reduced mode on a search result page of the query information, wherein the comment information interface in the reduced mode includes key information of the target comment information; The second display submodule is used to display the comment information interface in the expanded mode in response to the triggering operation of the comment information interface in the reduced mode, wherein the comment information interface in the expanded mode includes at least one tab page, and the tab page is used to display target comment information of different account categories.

16. The device according to claim 9, characterized in that The interactive comment information also includes target comment information corresponding to the target topic.

17. A device for display, characterized in that: The present invention comprises a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, and the one or more programs include instructions for performing the display method according to any one of claims 1 to 8.

18. A machine-readable medium having instructions stored thereon, which, when executed by one or more processors of a device, causes the device to perform the display method according to any one of claims 1 to 8.

19. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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