CN110909074A - Method and device for processing social data, computer equipment and storage medium - Google Patents
Method and device for processing social data, computer equipment and storage medium Download PDFInfo
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- CN110909074A CN110909074A CN201911002065.9A CN201911002065A CN110909074A CN 110909074 A CN110909074 A CN 110909074A CN 201911002065 A CN201911002065 A CN 201911002065A CN 110909074 A CN110909074 A CN 110909074A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
Abstract
The application relates to a method, an apparatus, a computer device and a storage medium for processing social data. The method comprises the following steps: receiving a data query request, wherein the query request carries keywords; and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system. Social data of each accessed social platform are stored through the block chain system, and reliability of the inquired social data is guaranteed.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for processing social data, a computer device, and a storage medium.
Background
With the rapid development of the internet, the social networking platform is full of Lin and people have very high dependence on the social networking platform. However, each social platform has independent data storage, information sharing is difficult to achieve among the social platforms, and factors such as difficulty in obtaining data and easiness in data tampering exist among different platforms, so that the content of information-based data is reduced.
Disclosure of Invention
In order to solve the technical problem, the application provides a method, a device, a computer device and a storage medium for processing social data.
In a first aspect, the present application provides a method of processing social data, comprising:
receiving a data query request, wherein the query request carries keywords;
and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
In a second aspect, the present application provides an apparatus for processing social data, comprising:
the request receiving module is used for receiving a data query request, and the query request carries keywords;
and the data query module is used for querying the social data matched with the keywords to obtain matched data, and the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
receiving a data query request, wherein the query request carries keywords;
and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
receiving a data query request, wherein the query request carries keywords;
and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
The method, the device, the computer equipment and the storage medium for processing the social data comprise the following steps: receiving a data query request, wherein the query request carries keywords; and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system. Social data of each accessed social platform are stored through the block chain system, and reliability of the inquired social data is guaranteed.
In one embodiment, a method of processing social data is provided, comprising:
sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data;
receiving matching data;
and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
In one embodiment, an apparatus for processing social data is provided, and the apparatus includes:
the data sending module is used for sending a data query request to the block chain system so that the block chain system queries the matched social data according to the data query request to obtain matched data;
the data receiving module is used for receiving the matched data;
and the data analysis module is used for extracting the data characteristics of the matched data and determining the classification result of the matched data according to the data characteristics.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data;
receiving matching data;
and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data;
receiving matching data;
and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
The method, the device, the computer equipment and the storage medium for processing the social data are provided. The method comprises the following steps: sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data; receiving matching data; and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics. And inquiring the social data stored in the block chain system according to the requirements, and ensuring the reliability of the inquired social data.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention 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, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a diagram of an application environment for a method of processing social data in one embodiment;
FIG. 2 is a flow diagram that illustrates a method for processing social data, in one embodiment;
FIG. 3 is a flow diagram that illustrates a method for processing social data, in one embodiment;
FIG. 4 is a block diagram of an apparatus for processing social data in one embodiment;
FIG. 5 is a block diagram of an apparatus for processing social data in one embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 some embodiments of the present application, but not all 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.
FIG. 1 is a diagram of an application environment for a method of processing social data, in one embodiment. Referring to fig. 1, the method for processing social data is applied to a system for processing social data. The system for processing social data includes a terminal 110, a computer device 120, and a blockchain system 130. The terminal 110 and the computer device 120 are connected via a network, and the computer device 120 accesses the blockchain system 130 via a blockchain system interface. The terminal 110 may be a query terminal and a data upload terminal, and the same terminal may be used as a data query terminal and/or a data upload terminal. The data query terminal is a terminal used for querying data stored in the blockchain system, and the data upload terminal is a terminal used for uploading social data to the blockchain system for storage. The computer device 120 includes a terminal and/or a server, where the terminal includes a desktop terminal or a mobile terminal, and the mobile terminal may be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers. The blockchain system 130 is a common blockchain system.
As shown in FIG. 2, in one embodiment, a method of processing social data is provided. The embodiment is mainly illustrated by applying the method to the computer device 120 in fig. 1. Referring to fig. 2, the method for processing social data specifically includes the following steps:
step S201, a data query request is received.
In this embodiment, the query request carries a keyword.
Step S202, inquiring the social data matched with the keywords to obtain matched data.
In this embodiment, the social data is social data of each user identifier corresponding to each social platform stored by the blockchain system.
Specifically, the computer device receives query requests sent by various data query terminals. The query request is computer instructions for querying data held in the blockchain system. The query request carries keywords, and the keywords are custom character strings used for social data matching. The keywords can be user-defined keywords or keywords stored in advance, and the content in the social data is searched through the keywords. When the keywords are adopted for matching, different data matching methods such as accurate matching and fuzzy matching can be adopted. The social data refers to social data uploaded by a social platform, wherein the social data may be social data between different users of the same social platform or social data generated by different users on different social platforms, and the social data includes, but is not limited to, chat data, friend circles, posts and the like for recording social life of the users. The computer device can receive social data from a plurality of different social platforms, and application terminals corresponding to the social platforms can be loaded on the terminals. The same terminal can be equipped with application terminals of a plurality of social platforms, and the login information of the same user on different social platforms can be the same login information. The user identification is identification data for identifying a user, wherein the user identification can uniquely identify the user. The application terminals loaded on the same terminal can log in accounts corresponding to different user identifications.
Social data corresponding to the user identification of each social platform are stored through the blockchain system, and the social data stored through the blockchain system have the characteristics of difficulty in tampering and high difficulty in counterfeiting, so that the authenticity and reliability of the stored social data are guaranteed.
The data may be queried for analysis of the user's behavior or to monitor certain events, such as monitoring for criminal offences. And performing corresponding processing according to the analyzed user behavior, for example, analyzing the user preference to push a message of interest to the user, where the message includes, but is not limited to, links of news, videos, articles, commodities, and the like. It may also be a method for analyzing the probability of the user performing a specific event, such as analyzing the default probability, managing the risk by analyzing the default probability of the user, predicting the probability of the occurrence of the illegal event, as a preparation for preventing the occurrence of the illegal event in advance by predicting the probability of the occurrence of the illegal event, and so on. The events can reflect the real situation of the user only by the real social data, so that the social data of the user is accessed into the block chain system, and the social data is stored through the block chain system, so that the authenticity of the social data is ensured.
In one embodiment, different user identifications correspond to different user permissions. The user rights include the user's right to access the social data and the user's right to use the social data, and so on.
In an embodiment, the method for processing social data further includes: acquiring data query authority corresponding to the user identification, determining a data query range according to the query authority, and querying social data matched with the keywords to obtain matched data, wherein the data query authority comprises the following steps: and inquiring the social data matched with the keywords in the data inquiry range to obtain matched data.
Specifically, each user identifier has a corresponding data query right. The data query authority may be determined by the user during registration, for example, the data query authority of users of different registration types is different, such as a common user, an administrator, and the like, the data query authority between the common user and the administrator is determined as different authority during registration, the common user and the administrator may be divided into multiple levels, the data query authority of common users of different levels is different, or the data query authority corresponding to administrators of different levels is different. The data query authority is used for determining the query range of the data, namely different data query authorities correspond to different data query ranges. And querying the social data of the keywords in the corresponding data query range by the user to obtain the matched data. Data can be guaranteed not to be leaked only by distributing different authorities to carry out data query, and therefore privacy of the data is guaranteed.
In an embodiment, the method for processing social data further includes: and receiving a registration request, wherein the registration request carries account information, generating a user identifier through a block chain system according to the registration request, and storing the user identifier.
Specifically, the registration request refers to a computer request for registration, the account information refers to information of a registered account at the time of registration, and the account information includes a name, a password, personal information, and the like. And sending the registration information in the registration request to a block chain system, generating a corresponding user identifier by the block chain system according to the registration information, and storing the user identifier.
In an embodiment, the method for processing social data further includes: receiving login requests of user identifications of all platforms, wherein the login requests carry login information; when the login information of the user identification is consistent with the preset login information, receiving social data of each user identification which is successfully logged in to obtain first social data; the first social data is saved by the blockchain system.
In particular, the login request is a computer instruction for requesting a login to the platform. The login information refers to information filled by a user or login information filled automatically. And judging whether the login information corresponding to the user identifier is matched with the login information corresponding to the user identifier stored in the block chain system, namely whether the login information is consistent with preset login information. The log-in information in the blockchain system is determined during registration, or may be log-in information modified after registration. And when the login information is consistent with the preset login information, the login is successful, the computer equipment receives the social data generated in the social platform corresponding to each user identifier which is successfully logged in real time, and the social data is used as first social data. The first social data is updated along with the generation of the social data, namely when the new social data is generated, the generated new social data is added to the first social data.
In an embodiment, the method for processing social data further includes: extracting key features in the first social data; establishing a data index feature according to a key feature in the first social data; saving, by a blockchain system, first social data, comprising: the first social data and corresponding data indexing features are saved by a blockchain system.
Specifically, the key feature refers to a data feature included in the social data, and the key feature may be a feature obtained by screening the social data according to a feature screening rule defined by the business requirement. Data indexing features refer to features used to index data. The first social data and the corresponding data indexing features are saved in the blockchain system. The data matching is carried out by adopting the data index features, so that the matching speed of the data can be improved, and the data processing efficiency is improved.
As shown in FIG. 3, in one embodiment, a method of processing social data is provided. The embodiment is mainly illustrated by applying the method to the terminal 110 in fig. 1. Referring to fig. 3, the method for processing social data specifically includes the following steps:
step S301, sending a data query request to the blockchain system, so that the blockchain system queries the matched social data according to the data query request to obtain the matched data.
Step S302, receiving the matching data.
Step S303, extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
Specifically, the terminal is a data query terminal, the data query terminal forwards a data query request to the block chain system through a communication interface of the computer device, and the block chain system queries data according to a query requirement carried in the data query request to obtain social data matched with the query request as matched data. And the block chain system sends the matching data to the equipment corresponding to the equipment identification carried in the query request. The extraction algorithm of the data features can be customized according to requirements. The data features comprise at least one feature of features such as specific scenes, specific application use cases, social frequency and the like, and the classification result of the matching data is determined according to the extracted data features. The classification result is related to the business, for example, the classification result in judicial application can be represented by words for describing illegal crimes of different degrees, such as illegal, non-illegal, crime, non-crime and the like. The risk early warning can comprise word expressions used for describing early warnings with different degrees of danger, no danger and the like.
Social data generated by each social platform in the social network is stored through the blockchain system, and users can enjoy more convenient social life. Due to the characteristics of the block chain, information counterfeiting behaviors are stopped, and powerful data basis is provided for case judgment of judicial authorities. And the user behavior can be analyzed on the social data generated by the user on a plurality of social platforms, the data is more reliable and comprehensive, and a more accurate analysis result is obtained. By adopting the accurate analysis result, more accurate information can be pushed for the user, and the user experience is improved. More accurate risk assessment can be obtained by analyzing and assessing social data stored on a plurality of social platforms in the blockchain system. The user behaviors can be uniformly monitored by aiming at the law enforcement, and illegal criminal behaviors are prevented.
Fig. 2 and 3 are flow diagrams illustrating a method for processing social data in one embodiment. It should be understood that although the steps in the flowcharts of fig. 2 and 3 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 3 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided an apparatus 200 for processing social data, comprising:
the request receiving module 201 is configured to receive a data query request, where the query request carries a keyword.
The data query module 202 is configured to query social data matched with the keywords to obtain matched data, where the social data is social data of each user identifier corresponding to each social platform stored by the blockchain system.
In an embodiment, the apparatus 200 for processing social data further includes:
and the authority inquiry module is used for acquiring the data inquiry authority corresponding to the user identifier.
And the query range determining module is used for determining the data query range according to the query authority.
The data query module 202 is further configured to query the social data matching the keyword within the data query range, so as to obtain matching data.
In an embodiment, the apparatus 200 for processing social data further includes:
the request receiving module 201 is further configured to receive a registration request, where the registration request carries account information.
And the user identifier generating module is used for generating a user identifier through the block chain system according to the registration request and storing the user identifier.
And the data sending module is used for sending the user identification according to the terminal identification.
In an embodiment, the apparatus 200 for processing social data further includes:
the request receiving module 201 is further configured to receive a login request of each user identifier of each platform, where the login request carries login information.
And the data receiving module is used for successfully logging in when the login information of the user identifier is consistent with the corresponding preset login information, and receiving the social data of each user identifier successfully logged in to obtain the first social data.
And the data storage module is used for storing the first social data through the blockchain system.
In an embodiment, the apparatus 200 for processing social data further includes:
and the feature extraction module is used for extracting key features in the first social data.
And the index establishing module is used for establishing data index characteristics according to the key characteristics in the first social data.
The data saving module is further used for saving the first social data and the corresponding data index features through the blockchain system.
In one embodiment, as shown in FIG. 5, there is provided an apparatus 300 for processing social data, comprising:
the data sending module 301 is configured to send a data query request to the blockchain system, so that the blockchain system queries the matched social data according to the data query request to obtain matched data.
A data receiving module 302, configured to receive the matching data.
And the data analysis module 303 is configured to extract data features of the matching data, and determine a classification result of the matching data according to the data features.
FIG. 6 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may be specifically the terminal 110 (or the blockchain system 120) in fig. 1. As shown in fig. 6, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected via a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by the processor, may cause the processor to implement a method of processing social data. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform a method of processing social data. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the apparatus for processing social data provided herein may be implemented in the form of a computer program, which is executable on a computer device as shown in fig. 6. The memory of the computer device may store various program modules constituting the apparatus for processing social data, such as the request receiving module 201 and the data query module 202 shown in fig. 4. The computer program constituted by the respective program modules causes the processor to execute the steps in the method of processing social data of the embodiments of the present application described in the present specification.
The data sending module 301, the data receiving module 302 and the data analyzing module 303 shown in fig. 5. The computer program constituted by the respective program modules causes the processor to execute the steps in the method of processing social data of the embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 6 may perform receiving a data query request by the request receiving module 201 in the apparatus 200 for processing social data shown in fig. 4, where the query request carries keywords. The computer device may perform query on social data matched with the keyword through the data query module 202 to obtain matched data, where the social data is social data of each user identifier corresponding to each social platform stored through the blockchain system.
For example, the computer device shown in fig. 6 may execute sending a data query request to the blockchain system through the data sending module 301 in the apparatus 300 for processing social data shown in fig. 5, so that the blockchain system queries the matched social data according to the data query request to obtain the matched data. The computer device may perform the receiving of the matching data by the data receiving module 302. The computer device may extract data features of the matching data through the data analysis module 303, and determine a classification result of the matching data according to the data features.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: receiving a data query request, wherein the query request carries keywords; and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
In one embodiment, the query request carries a user identifier, and the processor, when executing the computer program, further performs the following steps: acquiring data query authority corresponding to the user identifier; determining a data query range according to the query authority; inquiring the social data matched with the keywords to obtain matched data, wherein the matched data comprises the following steps: and inquiring the social data matched with the keywords in the data inquiry range to obtain matched data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving a registration request, wherein the registration request carries account information; generating a user identifier through a block chain system according to the registration request, and storing the user identifier; and sending the user identification according to the terminal identification.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving login requests of user identifications of all platforms, wherein the login requests carry login information; when the login information of the user identification is consistent with the corresponding preset login information, successfully logging in; receiving social data of each user identifier which is successfully logged in to obtain first social data; the first social data is saved by the blockchain system.
In one embodiment, the processor, when executing the computer program, further performs the steps of: extracting key features in the first social data; establishing a data index feature according to a key feature in the first social data; saving, by a blockchain system, first social data, comprising: the first social data and corresponding data indexing features are saved by a blockchain system.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data; receiving matching data; and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: receiving a data query request, wherein the query request carries keywords; and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
In one embodiment, the query request carries a user identification, and the computer program when executed by the processor further performs the steps of: acquiring data query authority corresponding to the user identifier; determining a data query range according to the query authority; inquiring the social data matched with the keywords to obtain matched data, wherein the matched data comprises the following steps: and inquiring the social data matched with the keywords in the data inquiry range to obtain matched data.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a registration request, wherein the registration request carries account information; generating a user identifier through a block chain system according to the registration request, and storing the user identifier; and sending the user identification according to the terminal identification.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving login requests of user identifications of all platforms, wherein the login requests carry login information; when the login information of the user identification is consistent with the corresponding preset login information, successfully logging in; receiving social data of each user identifier which is successfully logged in to obtain first social data; the first social data is saved by the blockchain system.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting key features in the first social data; establishing a data index feature according to a key feature in the first social data; saving, by a blockchain system, first social data, comprising: the first social data and corresponding data indexing features are saved by a blockchain system.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data; receiving matching data; and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
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 non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of processing social data, the method comprising:
receiving a data query request, wherein the query request carries keywords;
and inquiring social data matched with the keywords to obtain matched data, wherein the social data is the social data of each user identifier corresponding to each social platform stored through the block chain system.
2. The method of claim 1, wherein the query request carries the user identifier, and wherein the method further comprises:
acquiring data query authority corresponding to the user identification, and determining a data query range according to the query authority;
the step of inquiring the social data matched with the keywords to obtain matched data comprises the following steps: and inquiring the social data matched with the keywords in a data inquiry range to obtain the matched data.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
receiving a registration request, wherein the registration request carries account information;
and generating the user identification through the block chain system according to the registration request, and storing the user identification.
4. The method of claim 1, further comprising:
receiving login requests of the user identifications of the platforms, wherein the login requests carry login information;
when the login information of the user identification is consistent with preset login information, receiving social data of each user identification which is successfully logged in to obtain first social data;
saving, by the blockchain system, the first social data.
5. The method of claim 4, further comprising:
extracting key features in the first social data, and establishing data index features according to the key features in the first social data;
the saving, by the blockchain system, the first social data includes: saving, by the blockchain system, the first social data and corresponding data indexing features.
6. A method of processing social data, the method comprising:
sending a data query request to a block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data;
receiving the matching data;
and extracting the data characteristics of the matched data, and determining the classification result of the matched data according to the data characteristics.
7. An apparatus for processing social data, the apparatus comprising:
the request receiving module is used for receiving a data query request, and the query request carries keywords;
and the data query module is used for querying social data matched with the keywords to obtain matched data, wherein the social data is social data of each user identifier corresponding to each social platform stored through the block chain system.
8. An apparatus for processing social data, the apparatus comprising:
the data sending module is used for sending a data query request to the block chain system so that the block chain system queries matched social data according to the data query request to obtain matched data;
the data receiving module is used for receiving the matching data;
and the data analysis module is used for extracting the data characteristics of the matched data and determining the classification result of the matched data according to the data characteristics.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 6 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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