CN111475731B

CN111475731B - Data processing method, device, storage medium and equipment

Info

Publication number: CN111475731B
Application number: CN202010284402.4A
Authority: CN
Inventors: 何锐明; 田元
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-04-13
Filing date: 2020-04-13
Publication date: 2021-10-15
Anticipated expiration: 2040-04-13
Also published as: CN111475731A

Abstract

The embodiment of the application discloses a data processing method, a data processing device, a storage medium and data processing equipment, and belongs to the technical field related to artificial intelligence-natural language processing. The method comprises the following steps: responding to a comment request aiming at a target object to be commented, and acquiring at least two pieces of historical comment information associated with the target object; clustering the at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information category, and each information set in the at least two information sets comprises at least one piece of historical comment information; generating a display area corresponding to each information set in the at least two information sets according to the comment information category; and respectively displaying the historical comment information in each information set in the corresponding display area. The comment efficiency can be improved through the comment processing method and the comment processing device.

Description

Data processing method, device, storage medium and equipment

Technical Field

The present application relates to the field of artificial intelligence-natural language processing technologies, and in particular, to a data processing method, an apparatus, a storage medium, and a device.

Background

With the rapid development of internet technology, application programs of electronic commerce and other categories provide a comment function for a service or a product, and a user can comment on the product or the service through the comment function of the applications after purchasing the product or experiencing the service. The comments of the users have important significance to consumers and suppliers; for example, for a consumer, not only can the product or the service be commented, but also the comments of other users can be browsed to know the quality of the product and the service, so that the consumer can make a reliable decision. For the supplier, the comments of the user can be analyzed, and further, the analysis result is utilized to provide better service for the user, and the like. However, in the process of commenting on a product or a service, a user needs to independently think comment information, so that the comment efficiency is low.

Disclosure of Invention

The technical problem to be solved by the embodiments of the present application is to provide a data processing method, device, storage medium, and apparatus, which can improve comment efficiency.

An embodiment of the present application provides a data processing method, including:

responding to a comment request aiming at a target object to be commented, and acquiring at least two pieces of historical comment information associated with the target object;

clustering the at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information category, and each information set in the at least two information sets comprises at least one piece of historical comment information;

generating a display area corresponding to each information set in the at least two information sets according to the comment information category;

and respectively displaying the historical comment information in each information set in the corresponding display area.

An embodiment of the present application provides a data processing apparatus, including:

the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for responding to a comment request aiming at a target object to be commented and acquiring at least two pieces of historical comment information related to the target object;

the clustering module is used for clustering the at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information category, and each information set in the at least two information sets comprises at least one piece of historical comment information;

the generating module is used for generating display areas corresponding to the information sets in the at least two information sets according to the comment information types;

and the display module is used for displaying the historical comment information in each information set in the corresponding display area respectively.

Optionally, the display module is specifically configured to obtain the number of pieces of historical comment information in each information set; arranging the display areas corresponding to the information sets according to the number of the information sets; and respectively displaying the historical comment information in each information set in the correspondingly sorted display area.

Optionally, the presentation module is specifically configured to obtain a generation timestamp of the historical comment information in each information set; determining a total value of the generation time stamps of the historical comment information in each information set according to the generation time stamps; arranging the display areas corresponding to the information sets according to the total value of the generated time stamps; and respectively displaying the historical comment information in each information set in the correspondingly sorted display area.

Optionally, the at least two information sets include an information set K_iAnd information set K_jSaid set of information K_iAnd a display area P_mCorrespondingly, the information set K_jAnd a display area P_nI, j, m and n are positive integers less than or equal to S, and S is the number of the information sets in the at least two information sets;

optionally, the display module is specifically configured to collect the information set K at a first time_iThe historical comment information in (1) is displayed in the display area P_mInternal; collecting the information K at a second time_jThe historical comment information in (1) is displayed in the display area P_nThe first time is earlier than the second time, and the display area P_mIs arranged in the display area P_nBefore the sort order of (c).

Optionally, the presentation module is specifically configured to obtain feature attributes of the historical comment information in each information set, where the feature attributes include: the times of the historical comment information appearing in the historical comment text, the times of the historical comment information being viewed and the times of the historical comment information being collected; determining the comment weight of the historical comment information according to the frequency of the historical comment information appearing in a historical comment text, the frequency of the historical comment information being viewed and the frequency of the historical comment information being collected; screening historical comment information with comment weight larger than a weight threshold value from each information set to serve as first target comment information; and respectively displaying the first target comment information screened from each information set in the display area to which the first target comment information belongs.

Optionally, the display module is specifically configured to obtain the number of categories corresponding to the comment information categories and a display interface; dividing the display interface into at least two display areas, wherein the number of the areas of the at least two display areas is the same as the number of the categories; acquiring the number of the historical comment information in each information set and the size of each display area in the at least two display areas; and determining the display areas corresponding to the information sets respectively according to the number and the size of each display area.

Optionally, the clustering module is specifically configured to extract semantic information of each piece of historical comment information in the at least two pieces of historical comment information, where the semantic information is used to indicate a comment information category of the historical comment information; obtaining the similarity between semantic information of each piece of historical comment information in the at least two pieces of historical comment information; and clustering the at least two pieces of historical comment information according to the similarity to obtain at least two information sets.

Optionally, the clustering module is specifically configured to obtain a distance between semantic information of each piece of historical comment information in the at least two pieces of historical comment information; and determining the similarity between the semantic information of each piece of historical comment information in the at least two pieces of historical comment information according to the distance.

Optionally, the obtaining module is specifically configured to obtain an object class of the target object; acquiring a history comment text corresponding to an object of which the object type is matched with the object type of the target object;

and extracting text segments from the historical comment texts as at least two pieces of historical comment information associated with the target object.

Optionally, the obtaining module is specifically configured to perform segmentation processing on the history comment text to obtain at least two candidate text segments; and screening candidate text segments with fields matched with fields in the key field dictionary from the at least two candidate text segments as at least two pieces of historical comment information associated with the target object.

Optionally, the apparatus further comprises: the comment module is used for responding to selection operation aiming at second target historical comment information in the at least two pieces of historical comment information and displaying the second target historical comment information on a comment information input interface; receiving comment information input on the comment information input interface; and commenting the target object by adopting the input comment information and the second target historical comment information.

One aspect of the present application provides a computer device, comprising: a processor and a memory;

wherein, the memory is used for storing computer programs, and the processor is used for calling the computer programs to execute the following steps:

An aspect of the embodiments of the present application provides a computer-readable storage medium, where a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, perform the following steps:

In the embodiment of the application, when computer equipment receives a comment request aiming at a target object to be commented, at least two pieces of historical comment information related to the target object can be acquired; and clustering at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information category. And generating a display area corresponding to each information set according to the comment information category, and displaying the historical comment information in each information set in the corresponding display area. The historical comment information is displayed in the display area, so that the user can comment on the target object by selecting the historical comment information, the user does not need to independently think the comment information, and the comment efficiency can be improved. In addition, the at least two pieces of historical comment information are clustered, and each information set is displayed in the corresponding display area, so that the user can know the comment information category corresponding to the historical comment information of each display area, and the user can quickly select the proper historical comment information.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a block diagram illustrating an architecture of a data processing system provided herein;

FIG. 2 is an interactive schematic diagram of data processing provided herein;

FIG. 3a is a schematic view of a display area provided herein;

FIG. 3b is a schematic view of a display area provided herein;

FIG. 3c is a schematic view of a display area provided herein;

FIG. 4 is a schematic flow chart diagram of a data processing method provided herein;

fig. 5 is a schematic view of a display area corresponding to a generated information set provided in the present application;

FIG. 6 is a scene schematic diagram illustrating historical comment information in an information set in a corresponding display area, provided by the application;

FIG. 7 is a scene schematic diagram illustrating historical comment information in an information set in a corresponding display area, provided by the application;

FIG. 8a is a scene schematic diagram of displaying historical comment information in an information set in a corresponding display area, provided by the application;

fig. 8b is a scene schematic diagram illustrating historical comment information in an information set in a corresponding display area, provided by the present application;

fig. 9 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Artificial Intelligence (AI) is a theory, method, technique and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend and expand human Intelligence, perceive the environment, acquire knowledge and use the knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence is the research of the design principle and the realization method of various intelligent machines, so that the machines have the functions of perception, reasoning and decision making.

The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like. Key technologies for Speech Technology (Speech Technology) are automatic Speech recognition Technology (ASR) and Speech synthesis Technology (TTS), as well as voiceprint recognition Technology. The computer can listen, see, speak and feel, and the development direction of the future human-computer interaction is provided, wherein the voice becomes one of the best viewed human-computer interaction modes in the future.

Among them, Natural Language Processing (NLP) is an important direction in the fields of computer science and artificial intelligence. It studies various theories and methods that enable efficient communication between humans and computers using natural language. Natural language processing is a science integrating linguistics, computer science and mathematics. Therefore, the research in this field will involve natural language, i.e. the language that people use everyday, so it is closely related to the research of linguistics. Natural language processing techniques typically include text processing, semantic understanding, machine translation, robotic question and answer, knowledge mapping, and the like. In the method, clustering processing is carried out on at least two pieces of historical comment information by using a natural language processing technology to obtain at least two information sets, namely, the at least two pieces of historical comment information are classified by using the natural language processing technology to obtain at least two information sets, wherein one information set corresponds to one comment information category; then, each information set is displayed in the corresponding display area, so that the user can understand the comment information category of the historical comment information, and the user can quickly select the proper historical comment information.

First, a data processing system provided in an embodiment of the present application is introduced, and fig. 1 shows a schematic structural diagram of a data processing system provided in an exemplary embodiment of the present application, where the data processing system includes a server 11 and at least one terminal, and two terminals are taken as an example in fig. 1 and respectively include a terminal 12 and a terminal 13.

The server 11 may be a back-end device for processing the comment information of the user, and may be configured to analyze the comment information of the user and recommend the comment information for the user; specifically, the system may be an independent server, a server cluster composed of a plurality of servers, or a cloud computing center. Both the terminal 12 and the terminal 13 are terminals facing users, and specifically may be terminals used by users for commenting on products or services; the smart phone can be particularly smart devices such as smart phones, tablet computers, portable personal computers, smart watches, bracelets and smart televisions.

Specifically, an example that a user reviews a product or a service by using the terminal 12 is described, please refer to fig. 2, and fig. 2 is an interaction schematic diagram of a data processing system provided in an embodiment of the present application. As shown in fig. 2, after a user purchases a certain product or experiences a certain service, the product or the service can be reviewed through a web page 14, and the web page 14 may refer to a service page of a shopping application, a forum web page, a service interface (such as a content publishing platform) of a social application, and the like. Products may include applications (social applications, gaming applications, office applications, etc.), articles, clothing, food, equipment, books, and so forth; the services may refer to food and drink services, psychological counseling, network lessons, and legal counseling, among others. The webpage 14 comprises a comment option 15, the comment option 15 is used for calling a comment page 16, if the terminal 12 detects a selection operation of the user for the comment option 15, the comment page 16 is displayed, and the comment page 16 may comprise a display interface 17 and a comment area 18; the display interface 17 is used for displaying historical comment information, and the comment area 17 is used for displaying the historical comment information selected by the user from the display interface 17 and receiving comment information input by the user. Further, the terminal 12 may generate a comment request for the target object, and send the comment request to the server (assumed as the server 11) corresponding to the webpage 14; the target object may refer to a product or a service to be commented on, and the target object is illustrated as a woman's bag in fig. 2. At least two pieces of historical comment information associated with the target object are acquired by the server 11, and the at least two pieces of historical comment information are sent to the terminal 12. The at least two pieces of historical comment information associated with the target object may refer to: at least two pieces of historical comment information of the target object; or at least two pieces of historical comment information corresponding to objects of the same or similar object category as the target object. The terminal 12 can perform clustering processing on at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information category, and the comment information categories are divided according to the emotion of the user, and can comprise good comment, medium comment and bad comment; the comment information category may include a function category (comment information describing a function of the object), an appearance category (comment information describing an appearance of the object), a price category (comment information describing a price of the object), a logistics category (comment information describing a shipment speed, a mailing speed of the object), and the like, classified by characteristics of the object. The terminal 12 may generate a display area corresponding to each information set according to the comment information category, that is, the display interface 17 is divided according to the comment information category to obtain a display area corresponding to each information set, that is, one information set corresponds to one display area.

It should be noted that the sizes of the display areas corresponding to the information sets may be the same or different; the shapes of the display areas corresponding to the information sets can be the same or different, and the shapes of the display areas comprise rectangles, circles, hexagons or other shapes; the arrangement of the display areas corresponding to the information sets may include a column arrangement, a row-column combination arrangement, or other arrangements. For example, assume that three presentation areas are generated, respectively presentation area 19, presentation area 20, and presentation area 21; as shown in fig. 3a, the three display areas are arranged in a row, and the size and shape of the three display areas are the same. Alternatively, as shown in fig. 3b, the three display areas are arranged in a column arrangement, and the three display areas are all the same in size and shape. Alternatively, as shown in fig. 3c, the three display areas are arranged in a row-column combination arrangement, the display area 19 is the largest, the size of the display area 21 is larger than that of the display area 20, and the three display areas are all rectangular in shape.

Assuming that the at least two information sets comprise three information sets; the display areas corresponding to the information set 1, the information set 2 and the information set 3 are a display area 19, a display area 20 and a display area 21 respectively; the three display areas are illustrated as shown in fig. 3 a. After the display areas are generated, the terminal 12 may respectively display the historical comment information in each information set in the corresponding display areas, that is, the historical comment information in the information set 1 is displayed in the display area 19; displaying the historical comment information in the information set 2 in a display area 20; the historical comment information in the information set 3 is presented in the presentation area 21. After the terminal 12 displays the historical comment information, the user can select to perform a selection operation on the displayed historical comment information, and the terminal 12 can comment on a target object by using the historical comment information selected by the user as target historical comment information.

Therefore, the method and the device have the advantages that the historical comment information is displayed in the display area, so that the user can comment the target object by selecting the historical comment information, the user does not need to independently think the comment information, and the comment efficiency can be improved; in addition, through clustering the historical comment information, the historical comment information of various categories can be displayed for the user, the comment information categories of the historical comment information can be understood by the user, and therefore the user can quickly select the proper historical comment information.

It should be noted that, in an embodiment, the above clustering process for the historical comment information may be implemented in the terminal 12, that is, the terminal 12 may obtain at least two pieces of historical comment information associated with the target object from the server 11, and perform clustering processing on the at least two pieces of historical comment information to obtain at least two information sets; in another embodiment, the above clustering process for the historical comment information may be implemented in the service 11, that is, the server 11 may obtain at least two pieces of historical comment information associated with the target object, and perform clustering processing on the at least two pieces of historical comment information to obtain at least two information sets; and returning the at least two information sets and the comment information category corresponding to each information set to the terminal 12.

Based on the above description, please refer to fig. 4, which is a flowchart illustrating a data processing method according to an embodiment of the present application. The method may be executed by a computer device, which may refer to the server 11 or any terminal in fig. 1, and as shown in fig. 4, the data processing method may include:

s101, responding to a comment request aiming at a target object to be commented, and acquiring at least two pieces of historical comment information related to the target object.

When computer equipment receives a comment request aiming at a target object to be commented, at least two pieces of historical comment information related to the target object can be acquired from a webpage or a server; target object here may refer to a product purchased or a service experienced by a user; the historical comment information associated with the target object may refer to historical comment information within a preset time period associated with the target object, and the preset time period may refer to the last week, last month, or last three months. Specifically, the historical comment information associated with the target object may refer to: historical comment information of the target object; for example, if the target object is a woman package, the historical review information associated with the target object may refer to the historical review information for the woman package. Alternatively, the historical comment information associated with the target object may refer to: historical comment information of objects with the same object type as that of the target object, wherein the object type can comprise clothing, paper books, electronic articles, application programs, catering services and the like; for example, if the target object is a woman in type a style, the historical review information associated with the target object may be historical review information for a woman in type B style. Alternatively, the historical comment information associated with the target object may refer to: historical comment information corresponding to an object belonging to the same supplier as the target object; for example, the target object may refer to a woman's bag provided by company C, and the historical comment information associated with the target object may refer to the historical comment information of the draw-bar box provided by company C.

It should be noted that the historical comment information may refer to a word, a phrase or a sentence in the historical comment text associated with the target object; the historical comment text may refer to original text obtained by comment, that is, the historical comment information may refer to words, phrases, sentences, images, videos, or the like extracted from the historical comment text. For example, the history comment text may be "the quality of the bag is particularly good, and there is no peculiar smell, and the style is simple and elegant", and the history comment information may include "the quality of the bag is particularly good", "there is no peculiar smell", and "the style is simple and elegant", and the like.

S102, clustering the at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information type, and each information set in the at least two information sets comprises at least one piece of historical comment information.

In order to display multiple categories of historical comment information, the computer equipment can acquire the similarity between the historical comment information, and perform clustering processing on the at least two pieces of historical comment information according to the similarity between the historical comments to obtain at least two information sets; the historical comment information with the similarity larger than the similarity threshold is classified into an information set. Or, the computer device may acquire semantic information of the historical comment information by using a natural language processing technology, and perform clustering processing on at least two pieces of historical comment information according to the semantic information to obtain at least two information sets. One information set corresponds to one comment information category, that is, comment information categories belonging to the history comment information in the same information set are the same. Through clustering the historical comment information, the historical comment information of various categories can be displayed for the user, the comment information categories of the historical comment information can be understood by the user, and therefore the user can quickly select the proper historical comment information.

S103, generating a display area corresponding to each information set in the at least two information sets according to the comment information type.

The display interface of the computer equipment can comprise a plurality of display areas, one display area corresponds to one comment information category, and the display areas corresponding to the information sets in the at least two information sets respectively can be determined according to the corresponding relation between the comment information categories and the display areas. For example, the correspondence between the comment information category and the presentation area is as shown in table 1, and the comment information category 1, the comment information category 2, and the comment information category 3 correspond to the presentation area 19, the presentation area 20, and the presentation area 21, respectively. Assuming that at least two information sets comprise an information set 1, an information set 2 and an information set 3, wherein the information set 1, the information set 2 and the information set 3 respectively correspond to a comment information category 1, a comment information category 2 and a comment information category 3; thus, it is possible to determine that information set 1 corresponds to presentation area 19, information set 2 corresponds to presentation area 20, and information set 3 corresponds to presentation area 21. Or the computing device may divide the display interface according to the comment information category to obtain at least two display areas, and determine, from the at least two display areas, a display area corresponding to each information set of the at least two information sets.

Table 1:

comment information category 1	Display area 19
		Comment information category 2	Display area 20
Comment information category 3	Display area 21
		……	……

And S104, respectively displaying the historical comment information in each information set in the corresponding display area.

After determining the display areas corresponding to the information sets, the computer equipment can display the historical comment information in the information sets in the corresponding display areas; specifically, the historical comment information in each information set is displayed in the corresponding display area in a rolling display mode. For example, ten pieces of historical comment information which are ranked in the top ten in each information set are displayed in the corresponding display area at the time T, ten pieces of historical comment information which are ranked in the last ten in each information set are displayed in the corresponding display area at the time T +1, and the process is circulated according to the sequence; the ranking of the information of the historical comments in each information set may be determined according to operation information of the historical comment information, the operation information including at least one of a frequency of being used, a number of times of being collected, a number of times of being liked, a number of times of being forwarded, and the like. Or, historical comment information in each information set can be displayed in the corresponding display area in a parallel display mode. The historical comment information in each information set is displayed in the corresponding display area in a row arrangement mode, or the historical comment information in each information set is displayed in the corresponding display area in a column arrangement mode, or the historical comment information in each information set is displayed in the corresponding display area in a row and column combination arrangement mode, or the historical comment information in each information set is displayed in the corresponding display area in other arrangement modes. The historical comment information is displayed in the display area, so that the user can comment on the target object by selecting the historical comment information, the user does not need to independently think the comment information, and the comment efficiency can be improved. Optionally, in order to facilitate a user to quickly know the comment information category of each information set, the comment information category corresponding to each information set may be displayed respectively.

In one embodiment, step S101 may include steps S11-S13 as follows.

And s11, acquiring the object type of the target object.

s12, obtaining the history comment text corresponding to the object with the object type matched with the object type of the target object.

s13, extracting text segments from the historical comment text as at least two pieces of historical comment information associated with the target object.

In steps s11 to s13, the computer device may set the corresponding history comment information of which the object class matches the object class of the target object as the history comment information associated with the target object. Specifically, the computer device may obtain an object category of the target object from description information of the target object, where the description information of the target object may refer to information that is displayed in a webpage for purchasing the target object and is used to describe the target object, and the description information includes, but is not limited to, the object category, the origin, the price, and the role of the target object. Further, the computer device may obtain a history comment text corresponding to an object whose object type matches the object type of the target object; the object class matching with the object class of the target object may refer to: the object class is the same as the object class of the target object, or the object class is similar to the object class of the target object. For example, if the target object is a lady bag, the object category of the target object is a bag category, and the object categories similar to the object category of the target object include footwear or apparel categories. After the computer equipment acquires the historical comment text, extracting text segments from the historical comment text by adopting a natural language processing method to serve as at least two pieces of historical comment information associated with the target object; for example, a dictionary segmentation algorithm (i.e., a character string matching segmentation algorithm) may be adopted to extract text segments from the historical comment text as at least two pieces of historical comment information associated with the target object; the dictionary word segmentation algorithm is an algorithm for matching fields in the key field dictionary with fields of the historical comment texts. Alternatively, the computing device may employ a statistics-based machine learning algorithm to extract text segments from the historical comment text as at least two pieces of historical comment information associated with the target object; the statistical-based Machine learning algorithm may be Hidden Markov Model (HMM), Conditional Random Field (CRF), Support Vector Machine (SVM), deep learning, and other algorithms. The text segment may refer to a word, a phrase, a sentence, or the like, and specifically, the text segment may refer to a word, a phrase, a sentence, or the like that occurs in the history comment text with a frequency greater than a frequency threshold.

In this embodiment, step s13 may include steps s 21-s 22 as follows.

s21, carrying out segmentation processing on the history comment text to obtain at least two candidate text segments.

s22, screening the candidate text segments with the fields matched with the fields in the key field dictionary from the at least two candidate text segments as at least two pieces of historical comment information related to the target object.

In steps s 21-s 22, the computer device may segment the historical comment text according to a special symbol (e.g., a period, a comma), so as to obtain at least two candidate text segments (i.e., at least two candidate sentences); segmenting the historical comment text according to words to obtain at least two candidate texts (namely at least two candidate words); and carrying out segmentation processing on the historical comment text according to the phrases to obtain at least two candidate text segments (namely at least two candidate phrases). After the computer device obtains the candidate text segments, screening the candidate text segments with fields matched with the fields in the key field dictionary from the at least two candidate text segments as at least two pieces of historical comment information associated with the target object; the key field dictionary may refer to a set of fields that appear in the review text more frequently than a frequency threshold, i.e., the key field dictionary includes fields that are commonly used for reviews. By screening at least two candidate text segments, invalid historical comment information can be prevented from being displayed in a display area, and the utilization rate of the display area is improved; the method is beneficial to displaying more effective historical comment information for the user.

In one embodiment, step S102 may include steps S31-S33 as follows.

s31, extracting semantic information of each piece of the at least two pieces of historical comment information, wherein the semantic information is used for indicating comment information category of the historical comment information.

And s32, acquiring the similarity between the semantic information of each piece of the at least two pieces of historical comment information.

And s33, clustering the at least two pieces of historical comment information according to the similarity to obtain at least two information sets.

In steps s31 to s33, the computer device may perform clustering processing on at least two pieces of history comment information according to semantic information of the history comment information, so as to obtain at least two information sets. Specifically, the computer device may extract semantic information of each of the at least two pieces of historical comment information, where the semantic information is used to indicate a comment information category of the historical comment information; that is, semantic information may refer to the inherent meaning of historical review information. After obtaining the semantic information of the historical comment information, the computer device may compare the semantic information of each piece of historical comment information, and determine a similarity between the semantic information of each piece of historical comment information in the at least two pieces of historical comment information; and clustering the at least two pieces of historical comment information according to the similarity to obtain at least two information sets, namely classifying the historical comment information with the similarity larger than a similarity threshold into one information set.

In this embodiment, step s32 may include steps s 41-s 42 as follows.

s41, obtaining the distance between the semantic information of each piece of the at least two pieces of historical comment information.

s42, determining the similarity between the semantic information of each of the at least two pieces of historical comment information according to the distance.

In steps s 41-s 42, the computer device may obtain a distance between semantic information of each of the at least two pieces of historical comment information by using a distance algorithm; the distance algorithm here may comprise a euclidean distance algorithm, a manhattan distance algorithm, a chebyshev distance algorithm or a mahalanobis distance algorithm, etc. Further, the computer device may determine, according to the distance, a similarity between semantic information of each of the at least two pieces of historical comment information; namely, the distance between the two pieces of historical comment information and the similarity between the two pieces of historical comment information have a negative correlation relationship, namely, the greater the distance between the two pieces of historical comment information, the smaller the similarity between the two pieces of historical comment information; conversely, the smaller the distance between two pieces of historical comment information is, the greater the similarity between the two pieces of historical comment information is.

In one embodiment, step S103 may include steps S51-S54 as follows.

s51, obtaining the category number corresponding to the comment information category, and displaying an interface.

s52, dividing the display interface into at least two display areas, wherein the number of the at least two display areas is the same as the number of the categories.

s53, obtaining the number of the historical comment information in each information set, and the size of each of the at least two display areas.

s54, determining the display areas corresponding to the information sets respectively according to the number and the size of each display area.

In steps s 51-s 54, the computer device may generate display areas corresponding to the respective information sets according to the comment information categories; specifically, the number of categories corresponding to the comment information categories and the number of display interfaces can be obtained, and the number of the categories is the same as the number of sets of the information sets. Further, the display interface may be divided into at least two display areas, the number of the at least two display areas is the same as the number of the categories, and the sizes of the display areas may be the same or different. When the sizes of the display areas are the same, the corresponding display areas can be randomly allocated to the information sets. When the sizes of the display areas are different, the number of the historical comment information in each information set and the size of each display area in the at least two display areas can be obtained; and determining the display areas corresponding to the information sets respectively according to the number of the information sets and the size of each display area, namely allocating a larger display area to an information set with a larger number of the information sets, and allocating a smaller display area to an information set with a smaller number of the information sets.

For example, as shown in fig. 5, the number of categories corresponding to the comment information category is 3, and the computer device may divide the presentation interface 17 into 3 presentation areas, which are a presentation area 19, a presentation area 20, and a presentation area 21; wherein, the size of the display area 19 is the largest, the size of the display area 20 is the smallest, and the size of the display area 21 is larger than the size of the display area 20 and smaller than the size of the display area 19. Assuming that the number of information sets is 3, which are information set 1, information set 2, and information set 3, respectively, the computer device may obtain the number of pieces of history comment information corresponding to the three information sets, respectively, if the number of pieces corresponding to information set 1 > the number of pieces corresponding to information set 2 > the number of pieces corresponding to information set 3. The computer device may determine that presentation area 19 corresponds to information set 1, presentation area 21 corresponds to information set 2, and presentation area 20 corresponds to information set 3.

In one embodiment, step S104 may include steps S61-S63 as follows.

s61, obtaining the number of the historical comment information in each information set.

s62, arranging the display areas corresponding to the information sets according to the number.

And s63, respectively displaying the historical comment information in each information set in the corresponding sorted display area.

In steps s61 to s63, the computer device may obtain the number of pieces of historical comment information in each information set, and the larger the number of pieces of historical comment information in an information set is, the more the user is interested in commenting on the object by using comment information of a comment information category corresponding to the information set, that is, the more refined the historical comment information in the information set is, the more frequently the historical comment information is used; conversely, the smaller the number of pieces of historical comment information in the information set, the less the user commends the object with comment information of the comment information category corresponding to the information set, that is, the less frequently used historical comment information in the information set. Therefore, the computer device can arrange the display areas corresponding to the information sets according to the number, namely arrange the display areas corresponding to the information sets in sequence from high to low, so that the user can quickly select the history comment information with high use frequency (namely the popular history comment information); or the display areas corresponding to the information sets are sequentially arranged according to the sequence of the number of the information sets from low to high, so that the user can quickly select the historical comment information with low frequency of use, and diversified comments on the target object can be realized. Further, the historical comment information in each information set is respectively displayed in the display areas which are sorted correspondingly.

For example, as shown in fig. 6, the presentation area 19 corresponds to the information set 1, the presentation area 21 corresponds to the information set 2, the presentation area 20 corresponds to the information set 3, and the number of pieces of history comment information in the information set 1 > the number of pieces of history comment information in the information set 2 > the number of pieces of history comment information in the information set 3. Therefore, the display areas are sorted according to the number of the historical comment information corresponding to each information set, that is, the sequence of the display areas is from first to last: the display area 19, the display area 21, and the display area 20 may be sequentially displayed from left to right on the display interface, that is, the display area 19, the display area 21, and the display area 20. Then, the historical comment information in the information set 1 is displayed in the display area 19, the historical comment information in the information set 2 is displayed in the display area 21, and the historical comment information in the information set 3 is displayed in the display area 20.

Alternatively, step S104 may include steps S71-S74 as follows.

And s71, acquiring the generation time stamp of the historical comment information in each information set.

s72, determining the total value of the generation time stamp of the historical comment information in each information set according to the generation time stamp.

s73, arranging the display areas corresponding to the information sets according to the total value of the generated time stamps.

And s74, respectively displaying the historical comment information in each information set in the corresponding sorted display area. In steps s 71-s 74, the computer device may acquire generation time stamps of the historical comment information in the respective information sets; the generation time stamp of the historical comment information is a character sequence which can uniquely identify the generation time of the historical comment information, and the character sequence can be formed by a series of numbers, for example, the generation time stamp of the historical comment information is 20200408, which indicates that the generation time of the historical comment information is No. 4/8 of 2020. The computer device may determine a total value of the generation timestamps of the historical review information in each information set according to the generation timestamp, that is, the generation timestamps may be accumulated to obtain a total value of the generation timestamps of the historical review information in each information set. If the total value of the generation time stamp corresponding to the information set is larger, the fact that the historical comment information in the information set is generated recently is indicated, namely the historical comment information in the information set is more representative; on the contrary, if the total value of the generation timestamp corresponding to the information set is smaller, it indicates that the historical comment information in the information set is not generated recently, i.e. the historical comment information in the information set is less representative. Therefore, the computer device can sort the display areas corresponding to the information sets according to the generated total timestamp value, for example, the display areas corresponding to the information sets can be sorted according to the descending order of the total timestamp value; or arranging the display area corresponding to the maximum total timestamp value at the center position in the display interface, and sequentially arranging the display areas with smaller total timestamp values. Furthermore, the historical comment information in each information set can be displayed in the corresponding sorted display area, so that the user can quickly select representative historical comment information.

For example, as shown in fig. 7, the presentation area 19 corresponds to the information set 1, the presentation area 21 corresponds to the information set 2, the presentation area 20 corresponds to the information set 3, and if the total timestamp value corresponding to the information set 3 > the total timestamp value corresponding to the information set 2 > the total timestamp value corresponding to the information set 1. Therefore, the display areas are sorted according to the total timestamp value corresponding to each information set, that is, the sequence of the display areas is from first to last: the display area 20, the display area 21, and the display area 19 may be sequentially displayed from left to right on the display interface, that is, the display area 20, the display area 21, and the display area 19 may be sequentially displayed. Then, the historical comment information in the information set 1 is displayed in the display area 19, the historical comment information in the information set 2 is displayed in the display area 21, and the historical comment information in the information set 3 is displayed in the display area 20.

OptionalThe at least two information sets comprise an information set K_iAnd information set K_jThe set of information K_iAnd a display area P_mCorrespondingly, the information set K_jAnd a display area P_nI, j, m and n are positive integers less than or equal to S, and S is the number of the information sets in the at least two information sets;

the step of displaying the history comment information in each information set in the corresponding sorted display area may include the following steps s81 to s 82:

s81, assembling the information K at the first time_iThe historical comment information in (1) is displayed in the display area P_mAnd (4) the following steps.

s82, aggregating the information K at a second time_jThe historical comment information in (1) is displayed in the display area P_nThe first time is earlier than the second time, the display area P_mIs arranged in the display area P_nBefore the sort order of (c).

In steps s 81-s 82, the computer device may present each information set in a scrolling manner, and in particular, may present the information set K at a first time_iThe historical comment information in (1) is displayed in the display area P_mIn a second time, the information is collected into a set K_jThe historical comment information in (1) is displayed in the display area P_nInternal; therefore, more historical comment information in each information set can be displayed at one time, or the interference of the user by the historical comment information of other comment information categories can be avoided.

For example, as shown in fig. 8a, the computer device may present the historical comment information in information set 1 in presentation area 19 at time T, present the historical comment information in information set 2 in presentation area 21 at time T +1, and present the historical comment information in information set 3 in presentation area 20 at time T + 2. Then, according to the steps, the historical comment information in each information set is displayed in a circulating mode, so that the phenomenon that a user is interfered by the historical comment information of other comment information categories when selecting the historical comment information can be avoided. Optionally, each display area may refer to a display interface, as shown in fig. 8b, the computer device may display the historical comment information in the information set 1 in the display interface 17 at time T, display the historical comment information in the information set 2 in the display interface 17 at time T +1, and display the historical comment information in the information set 3 in the display interface 17 at time T + 2. And then, according to the steps, the historical comment information in each information set is displayed in a circulating mode, so that more historical comment information in each information set can be displayed at one time.

Alternatively, step S104 may include steps S91-S94 as follows.

s91, obtaining characteristic attributes of the historical comment information in each information set, wherein the characteristic attributes comprise: the number of times the history comment information appears in the history comment text, the number of times the history comment information is viewed, and the number of times the history comment information is collected.

s92, determining the comment weight of the history comment information according to the number of times the history comment information appears in the history comment text, the number of times the history comment information is viewed, and the number of times the history comment information is collected.

s93, selecting the historical comment information with the comment weight larger than the weight threshold value from the information sets as the first target comment information.

s94, displaying the first target comment information screened from the information sets in the display areas to which the first target comment information belongs.

In steps s91 to s94, the computer device may obtain the feature attributes of the historical comment information in each information set, set weights for the number of times that the historical comment information included in the feature attributes appears in the historical comment text, the number of times that the historical comment information is viewed, and the number of times that the historical comment information is collected, respectively, and perform weighted summation according to the weights, the number of times that the historical comment information appears in the historical comment text, the number of times that the historical comment information is viewed, and the number of times that the historical comment information is collected, to obtain the comment weight of the historical comment information; or directly summing the number of times of the historical comment information appearing in the historical comment text, the number of times of the historical comment information being viewed and the number of times of the historical comment information being collected to obtain the comment weight of the historical comment information. The comment weight can be used for indicating the representativeness of the historical comment information, namely the larger the comment weight is, the more representative the historical comment information is; the smaller the review weight is, the less representative the historical review information is. Further, the computer device may filter, from the respective information sets, historical comment information whose comment weight is greater than a weight threshold as first target comment information; and displaying the first target comment information screened from each information set in the display area to which the first target comment information belongs, specifically, sequentially displaying the first target comment information in the information sets according to the comment weight.

Alternatively, the method may comprise the following steps s111 to s 113.

And s111, responding to a selection operation aiming at a second target historical comment information in the at least two pieces of historical comment information, and displaying the second target historical comment information on the comment information input interface.

And s112, receiving the comment information input on the comment information input interface.

s113, commenting the target object by using the input comment information and the second target history comment information.

In steps s111 to s113, the user may perform a selection operation on any one of the historical comment information displayed on the display interface, where the comment information input interface may refer to the comment area 18 in fig. 2; accordingly, if the computer device detects a selection operation for a second target historical comment information of the at least two pieces of historical comment information, the second target historical comment information is displayed on the comment information input interface, and the target object can be commented by using the second target historical comment information. Optionally, the user may further input comment information on a comment information input interface, and accordingly, the computer device may receive the comment information input on the comment information input interface, and comment the target object by using the input comment information and the second target history comment information.

Fig. 9 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. The data processing means may be a computer program (including program code) running on a computer device, for example, an application software; the apparatus may be used to perform the corresponding steps in the methods provided by the embodiments of the present application. As shown in fig. 9, the data processing apparatus may include: an acquisition module 901, a clustering module 902, a generation module 903, a presentation module 904, and a comment module 905.

An obtaining module 901, configured to respond to a comment request for a target object to be commented, and obtain at least two pieces of historical comment information associated with the target object;

a clustering module 902, configured to perform clustering processing on the at least two pieces of historical comment information to obtain at least two information sets, where one information set corresponds to one comment information category, and each information set in the at least two information sets includes at least one piece of historical comment information;

a generating module 903, configured to generate, according to the comment information category, a display area corresponding to each information set of the at least two information sets respectively;

and a displaying module 904, configured to respectively display the historical comment information in each information set in the corresponding displaying area.

Optionally, the presentation module 904 is specifically configured to obtain the number of pieces of historical comment information in each information set; arranging the display areas corresponding to the information sets according to the number of the information sets; and respectively displaying the historical comment information in each information set in the correspondingly sorted display area.

Optionally, the presentation module 904 is specifically configured to obtain a generation timestamp of the historical comment information in each information set; determining a total value of the generation time stamps of the historical comment information in each information set according to the generation time stamps; arranging the display areas corresponding to the information sets according to the total value of the generated time stamps; and respectively displaying the historical comment information in each information set in the correspondingly sorted display area.

optionally, the displaying module 904 is specifically configured to collect the information K at a first time_iThe historical comment information in (1) is displayed in the display area P_mInternal; collecting the information K at a second time_jThe historical comment information in (1) is displayed in the display area P_nThe first time is earlier than the second time, and the display area P_mIs arranged in the display area P_nBefore the sort order of (c).

Optionally, the presentation module 904 is specifically configured to obtain characteristic attributes of the historical comment information in each information set, where the characteristic attributes include: the times of the historical comment information appearing in the historical comment text, the times of the historical comment information being viewed and the times of the historical comment information being collected; determining the comment weight of the historical comment information according to the frequency of the historical comment information appearing in a historical comment text, the frequency of the historical comment information being viewed and the frequency of the historical comment information being collected; screening historical comment information with comment weight larger than a weight threshold value from each information set to serve as first target comment information; and respectively displaying the first target comment information screened from each information set in the display area to which the first target comment information belongs.

Optionally, the display module 904 is specifically configured to obtain the number of categories corresponding to the comment information categories and a display interface; dividing the display interface into at least two display areas, wherein the number of the areas of the at least two display areas is the same as the number of the categories; acquiring the number of the historical comment information in each information set and the size of each display area in the at least two display areas; and determining the display areas corresponding to the information sets respectively according to the number and the size of each display area.

Optionally, the clustering module 902 is specifically configured to extract semantic information of each piece of historical comment information in the at least two pieces of historical comment information, where the semantic information is used to indicate a comment information category of the historical comment information; obtaining the similarity between semantic information of each piece of historical comment information in the at least two pieces of historical comment information; and clustering the at least two pieces of historical comment information according to the similarity to obtain at least two information sets.

Optionally, the clustering module 902 is specifically configured to obtain a distance between semantic information of each piece of historical comment information in the at least two pieces of historical comment information; and determining the similarity between the semantic information of each piece of historical comment information in the at least two pieces of historical comment information according to the distance.

Optionally, the obtaining module 901 is specifically configured to obtain an object class of the target object; acquiring a history comment text corresponding to an object of which the object type is matched with the object type of the target object;

Optionally, the obtaining module 901 is specifically configured to perform segmentation processing on the history comment text to obtain at least two candidate text segments; and screening candidate text segments with fields matched with fields in the key field dictionary from the at least two candidate text segments as at least two pieces of historical comment information associated with the target object.

Optionally, the apparatus further comprises: the comment module 905 is used for responding to a selection operation aiming at a second target historical comment information in the at least two pieces of historical comment information and displaying the second target historical comment information on a comment information input interface; receiving comment information input on the comment information input interface; and commenting the target object by adopting the input comment information and the second target historical comment information.

According to an embodiment of the present application, the steps involved in the data processing method shown in fig. 4 may be performed by respective modules in the data processing apparatus shown in fig. 9. For example, step S101 shown in fig. 4 may be performed by the obtaining module 901 in fig. 9, and step S102 shown in fig. 4 may be performed by the clustering module 902 in fig. 9; step S103 shown in fig. 4 may be performed by the generation module 903 in fig. 9; step S104 shown in fig. 4 may be performed by the display module 904 in fig. 9.

According to an embodiment of the present application, each module in the data processing apparatus shown in fig. 9 may be respectively or entirely combined into one or several units to form the unit, or some unit(s) therein may be further split into multiple sub-units with smaller functions, which may implement the same operation without affecting implementation of technical effects of the embodiment of the present application. The modules are divided based on logic functions, and in practical application, the functions of one module can be realized by a plurality of units, or the functions of a plurality of modules can be realized by one unit. In other embodiments of the present application, the data processing apparatus may also include other units, and in practical applications, the functions may also be implemented by being assisted by other units, and may be implemented by cooperation of a plurality of units.

According to an embodiment of the present application, the data processing apparatus as shown in fig. 9 may be constructed by running a computer program (including program codes) capable of executing the steps involved in the corresponding method as shown in fig. 4 on a general-purpose computer device such as a computer including a processing element such as a Central Processing Unit (CPU), a random access storage medium (RAM), a read-only storage medium (ROM), and a storage element, and implementing the data processing method of the embodiment of the present application. The computer program may be recorded on a computer-readable recording medium, for example, and loaded into and executed by the computing apparatus via the computer-readable recording medium.

Fig. 10 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 10, the computer apparatus 1000 may include: the processor 1001, the network interface 1004, and the memory 1005, and the computer apparatus 1000 may further include: a user interface 1003, and at least one communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display) and a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a standard wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., at least one disk memory). The memory 1005 may optionally be at least one memory device located remotely from the processor 1001. As shown in fig. 10, a memory 1005, which is a kind of computer-readable storage medium, may include therein an operating system, a network communication module, a user interface module, and a device control application program.

In the computer device 1000 shown in fig. 10, the network interface 1004 may provide a network communication function; the user interface 1003 is an interface for providing a user with input; and the processor 1001 may be used to invoke a device control application stored in the memory 1005 to implement:

Optionally, the processor 1001 may be configured to invoke a device control application stored in the memory 1005 to implement:

acquiring the number of the historical comment information in each information set;

arranging the display areas corresponding to the information sets according to the number of the information sets;

and respectively displaying the historical comment information in each information set in the correspondingly sorted display area.

acquiring generation time stamps of historical comment information in each information set;

determining a total value of the generation time stamps of the historical comment information in each information set according to the generation time stamps;

arranging the display areas corresponding to the information sets according to the total value of the generated time stamps;

collecting the information K at a first time_iThe historical comment information in (1) is displayed in the display area P_mInternal;

collecting the information K at a second time_jThe historical comment information in (1) is displayed in the display area P_nThe first time is earlier than the second time, and the display area P_mIs arranged in the display area P_nBefore the sort order of (c).

obtaining characteristic attributes of the historical comment information in each information set, wherein the characteristic attributes comprise: the times of the historical comment information appearing in the historical comment text, the times of the historical comment information being viewed and the times of the historical comment information being collected;

determining the comment weight of the historical comment information according to the frequency of the historical comment information appearing in a historical comment text, the frequency of the historical comment information being viewed and the frequency of the historical comment information being collected;

screening historical comment information with comment weight larger than a weight threshold value from each information set to serve as first target comment information;

and respectively displaying the first target comment information screened from each information set in the display area to which the first target comment information belongs.

acquiring the category number corresponding to the comment information category and a display interface;

dividing the display interface into at least two display areas, wherein the number of the areas of the at least two display areas is the same as the number of the categories;

acquiring the number of the historical comment information in each information set and the size of each display area in the at least two display areas;

and determining the display areas corresponding to the information sets respectively according to the number and the size of each display area.

extracting semantic information of each piece of historical comment information in the at least two pieces of historical comment information, wherein the semantic information is used for indicating comment information category of the historical comment information;

obtaining the similarity between semantic information of each piece of historical comment information in the at least two pieces of historical comment information;

and clustering the at least two pieces of historical comment information according to the similarity to obtain at least two information sets.

obtaining the distance between semantic information of each piece of historical comment information in the at least two pieces of historical comment information;

and determining the similarity between the semantic information of each piece of historical comment information in the at least two pieces of historical comment information according to the distance.

acquiring the object type of the target object;

acquiring a history comment text corresponding to an object of which the object type is matched with the object type of the target object;

segmenting the historical comment text to obtain at least two candidate text segments;

and screening candidate text segments with fields matched with fields in the key field dictionary from the at least two candidate text segments as at least two pieces of historical comment information associated with the target object.

in response to a selection operation aiming at second target historical comment information in the at least two pieces of historical comment information, displaying the second target historical comment information on a comment information input interface;

receiving comment information input on the comment information input interface;

and commenting the target object by adopting the input comment information and the second target historical comment information.

It should be understood that the computer device 1000 described in this embodiment of the present application may perform the description of the data processing method in the embodiment corresponding to fig. 4, and may also perform the description of the data processing apparatus in the embodiment corresponding to fig. 9, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.

Further, here, it is to be noted that: an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program executed by the aforementioned data processing apparatus, and the computer program includes program instructions, and when the processor executes the program instructions, the description of the data processing method in the embodiment corresponding to fig. 4 can be performed, so that details are not repeated here. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application.

By way of example, the program instructions described above may be executed on one computer device, or on multiple computer devices located at one site, or distributed across multiple sites and interconnected by a communication network, which may comprise a blockchain network.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims

1. A data processing method, comprising:

clustering the at least two pieces of historical comment information to obtain at least two information sets, wherein one information set corresponds to one comment information category, each information set in the at least two information sets comprises at least one piece of historical comment information, and the at least two information sets comprise an information set K_iAnd information set K_jSaid set of information K_iAnd a display area P_mCorrespondingly, the information set K_jAnd a display area P_nI, j, m and n are positive integers less than or equal to S, and S is the number of the information sets in the at least two information sets;

respectively displaying the historical comment information in each information set in the corresponding display area, including:

collecting the information K at a second time_jThe historical comment information in (1) is displayed in the display area P_nThe first time is earlier than the second time, and the display area P_mIs arranged in the display area P_nBefore the sorting order, the arrangement order of the display areas corresponding to the information sets isAnd determining according to the historical comment information in each information set.

2. The method of claim 1, wherein the displaying the historical comment information in each information set in the corresponding display area respectively comprises:

3. The method of claim 1, wherein the displaying the historical comment information in each information set in the corresponding display area respectively comprises:

4. The method of claim 1, wherein the displaying the historical comment information in each information set in the corresponding display area respectively comprises:

5. The method of claim 1, wherein the generating a presentation area corresponding to each of the at least two information sets according to the comment information category comprises:

6. The method of claim 1, wherein the clustering the at least two pieces of historical review information to obtain at least two sets of information comprises:

7. The method of claim 6, wherein the obtaining the similarity between semantic information of each of the at least two pieces of historical review information comprises:

8. The method of claim 1, wherein said obtaining at least two pieces of historical review information associated with the target object comprises:

acquiring the object type of the target object;

9. The method of claim 8, wherein said extracting text segments from said historical comment text as at least two pieces of historical comment information associated with said target object comprises:

10. The method of claim 1, wherein the method further comprises:

receiving comment information input on the comment information input interface;

11. A data processing apparatus, comprising:

a clustering module, configured to perform clustering processing on the at least two pieces of historical comment information to obtain at least two information sets, where one information set corresponds to one comment information category, each information set of the at least two information sets includes at least one piece of historical comment information, and the at least two information sets include an information set K_iAnd information set K_jSaid set of information K_iAnd a display area P_mCorrespondingly, the information set K_jAnd a display area P_nI, j, m and n are positive integers less than or equal to S, and S is the number of the information sets in the at least two information sets;

the display module is used for displaying the historical comment information in each information set in the corresponding display area respectively, and comprises:

collecting the information K at a second time_jThe historical comment information in (1) is displayed in the display area P_nThe first time is earlier than the second time, and the display area P_mRow of (2)The row sequence is positioned in the display area P_nBefore the sorting order, the arrangement order of the display areas corresponding to the information sets is determined according to the historical comment information in the information sets.

12. A computer device, comprising: a processor and a memory;

wherein the memory is configured to store program code and the processor is configured to invoke the program code to perform the method of any of claims 1 to 10.

13. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions which, when executed by a processor, perform the steps of the method according to any one of claims 1 to 10.