CN105512945B - Social network interaction information processing method and device - Google Patents
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Abstract
The disclosure relates to a social network interaction information processing method and device, wherein the method comprises the following steps: receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user; and pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the type of the semantic attribute of the social interaction information issued by the second user. The method and the device have the advantages that the prompt information corresponding to the semantic attribute type can be pushed to the user according to the type of the semantic attribute of the social information published by the user, so that the prompt information is more humanized, and the user experience is improved.
Description
Technical Field
The present disclosure relates to computer technologies, and in particular, to a method and an apparatus for processing social network interaction information.
Background
With the development of computer networks, various social applications are emerging, such as WeChat friend circles, microblogs, people networks, and the like, and more users communicate with other users through social applications. The social application generally provides an approval function, and after a certain user publishes or forwards a certain piece of state information, other users can respond to the state information, such as approval, publishing reply information, and the like.
In the related art, once a user approves a certain piece of status information or issues a reply message, the social application pushes fixed prompt messages to the user who issues the status information, such as "xxx approves your information" and "xxx replies your information".
Disclosure of Invention
In order to overcome the problems in the related art, the disclosure provides a social network interaction information processing method and device.
According to a first aspect of the embodiments of the present disclosure, a social network interaction information processing method is provided, including:
receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user;
and pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the type of the semantic attribute of the social interaction information issued by the second user.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the method comprises the steps of receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social interaction information issued by a second user, and then pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the semantic attribute of the social interaction information issued by the second user.
Further, the method further comprises:
and acquiring the type of the semantic attribute of the social information issued by the second user before pushing the prompt information of the social interaction information corresponding to the type of the semantic attribute to the second user according to the type of the semantic attribute of the social information issued by the second user.
Further, obtaining the type of the semantic attribute of the social information published by the second user includes:
performing word segmentation on the social information published by the second user to obtain keywords and/or emoticons forming the social information published by the second user;
and performing semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the method comprises the steps that social interaction information input by a first user and sent by a terminal is received, wherein the social interaction information is used for responding to social interaction information issued by a second user, and then prompt information of the social interaction information corresponding to the type of the semantic attribute is pushed to the terminal held by the second user according to the semantic attribute of the social interaction information issued by the second user, wherein keywords and/or emoticons of the social interaction information are obtained through segmentation, semantic analysis is conducted, and the type of the semantic attribute of the social interaction information is obtained.
Further, the method further comprises:
and receiving prompt information of the social interaction information corresponding to the types of the different semantic attributes sent by the terminal.
Further, the social interaction information includes: replies, and/or private messages.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the method comprises the steps of receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to the social interaction information issued by a second user, and further pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the semantic attribute of the social interaction information issued by the second user, wherein the prompt information of the social interaction information corresponding to the types of different semantic attributes can be sent by the terminal, so that the prompt information is more humanized, the user experience is improved, and the method is suitable for prompting various social interaction information, such as private letters, replies and the like.
According to a second aspect of the embodiments of the present disclosure, there is provided a social network interaction information processing apparatus, including:
the receiving module is configured to receive social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social interaction information issued by a second user;
the pushing module is configured to push prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the type of the semantic attribute of the social interaction information published by the second user.
Further, the apparatus further comprises:
the device further comprises:
the obtaining module is configured to obtain the type of the semantic attribute of the social information issued by the second user before the pushing module pushes the prompt information of the social interaction information corresponding to the type of the semantic attribute to the terminal held by the second user according to the type of the semantic attribute of the social information issued by the second user.
Further, the obtaining module comprises:
the segmentation unit is configured to perform word segmentation on the social information issued by the second user to acquire keywords and/or emoticons forming the social information issued by the second user;
and the analysis unit is configured to perform semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
Further, the apparatus further comprises:
and the self-defining module is configured to receive prompt information of the social interaction information corresponding to the types of the different semantic attributes sent by the terminal.
Further, the social interaction information includes: replies, and/or private messages.
According to a third aspect of the embodiments of the present disclosure, there is provided a social network interaction information processing apparatus, including:
the receiving module is configured to receive response prompt information sent by the server, wherein the response prompt information is used for prompting the first user to issue social interaction information so as to respond to the social interaction information issued by the second user holding the terminal;
the conversion module is configured to convert the response prompt information into prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information issued by the second user.
Further, the apparatus further comprises:
the obtaining module is configured to obtain the type of the semantic attribute of the social information issued by the second user before the converting module converts the response prompt information into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information issued by the second user.
Further, the apparatus further comprises:
the obtaining module is configured to obtain the type of the semantic attribute of the social information issued by the second user before the converting module converts the response prompt information into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information issued by the second user.
Further, the apparatus further comprises:
and the self-defining module is configured to receive prompt information of the social interaction information corresponding to the types of the different semantic attributes input by the user.
Further, the social interaction information includes: reply, or private letter.
According to a fourth aspect of embodiments of the present disclosure, there is provided a server, including: a processor, and a memory for storing processor-executable instructions;
the processor is configured to:
receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user;
and pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the type of the semantic attribute of the social interaction information issued by the second user.
According to a fifth aspect of the embodiments of the present disclosure, there is provided a terminal, including: the method comprises the following steps: a processor, and a memory for storing processor-executable instructions;
the processor is configured to:
receiving response prompt information sent by a server, wherein the response prompt information is used for prompting a first user to issue social interaction information so as to respond to the social interaction information issued by a second user holding a terminal;
and converting the response prompt information into prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information issued by the second user.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: and receiving response prompt information sent by the server, wherein the corresponding prompt information is used for prompting that the first user responds to the social information published by the second user holding the terminal, and the response prompt information is converted into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information published by the second user, so that the prompt information corresponding to the type of the semantic attribute can be displayed to the user according to the type of the semantic attribute of the social information published by the user, the prompt information is more humanized, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow diagram illustrating a social network interaction information processing method, according to an example embodiment;
FIG. 2 is a flow diagram illustrating a social network interaction information processing method, according to another example embodiment;
FIG. 3 is a flow diagram illustrating a social network interaction information processing method, according to yet another illustrative embodiment;
FIG. 4 is a block diagram illustrating a first embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 5 is a block diagram illustrating a second embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 6 is a block diagram illustrating a third embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 7 is a block diagram illustrating a fourth embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 8 is a block diagram illustrating a social network interaction information processing apparatus embodiment five, according to an example embodiment;
FIG. 9 is a block diagram illustrating a sixth embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 10 is a block diagram illustrating a seventh embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 11 is a block diagram illustrating an eighth embodiment of a social network interaction information processing apparatus, according to an illustrative embodiment;
FIG. 12 is a block diagram illustrating an entity of a server in accordance with an illustrative embodiment;
FIG. 13 is a block diagram illustrating entities of a terminal in accordance with an exemplary embodiment;
FIG. 14 is a block diagram illustrating a server 1400 in accordance with an exemplary embodiment;
fig. 15 is a block diagram illustrating a terminal 1500 according to an example embodiment.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart of a social network interaction information processing method according to an exemplary embodiment, and as shown in fig. 1, the social network interaction information processing method may be applied to social application programs in various terminals, such as micro blogs, WeChats, facebook (facebook), and the like, and prompt information of social interaction information responded by other users is pushed to the user according to the type of semantic attributes of the social information published by the user, so that the prompt information of the social application program is more humanized, and user experience is improved.
The execution subject of the method is a management server of a social application program background, and the method comprises the following steps:
in step S101, receiving social interaction information input by a first user and sent by a terminal, where the social interaction information is used for responding to social information posted by a second user.
All users can register accounts in the social application program, after the accounts are registered, the users can log in the social application program through the terminal to publish various social information, such as publishing own state information, forwarding information published by others, and the like, and the social information published by the users can include characters, emoticons and the like.
After other users log in, if the social information published by the user is seen, responses can be made, such as: reply, forward, etc. The reply may include reply of specific information such as characters and expressions, or praise.
In step S102, according to the type of the semantic attribute of the social information published by the second user, the prompting information of the social interaction information corresponding to the type of the semantic attribute is pushed to the second user.
Specifically, the server may perform semantic analysis on the social information published by the user to infer the state, mood, and the like of the user when publishing the social information. For example, the social information posted by the user includes: the user is in a negative state when publishing the social information, such as 'not happy', 'sick', 'tired', and the like; if the social information published by the user comprises: "excited", or an emoticon representing "laugh", etc., indicating that the user is in an active state when posting social information.
According to the types of different semantic attributes of the social information, different prompt messages can be pushed to the user who publishes the social information. For example, the second user issues a piece of social information "it is sick today and not happy", and after semantic analysis, it is known that this is a negative state, and after the user has friends to reply to the piece of social information, the social application program may push a prompt message "there are friends acquiescent and cared you" to the user, or there are multiple friends responding to the piece of social information, and may prompt "there are x friends cared you" and the like, without being limited thereto. The prompting information can enable the user to better feel caring under the condition of negative mood, and unlike the prompting without emotional colors such as 'you receive a reply' and the like in the prior art, the mood of the user can be caused to be worse.
Or the user publishes social information 'winning cheers today and being excited', which is an active state through semantic analysis, and then after a friend replies, prompt information can be pushed to 'x friends have shared your happiness', and the like.
Of course, the above examples are not intended to be limiting.
It should be noted that the prompt information is pushed to the user, and the push may be actively performed according to the setting of the user, or may be performed when the user opens the social application. Specifically, the server pushes the reminder to the terminal, which the user can see in the application of the terminal.
In the social network interaction information processing method provided by this embodiment, the social interaction information input by the first user and sent by the terminal is received, where the social interaction information is used to respond to the social information published by the second user, and then according to the semantic attribute of the social information published by the second user, the prompt information of the social interaction information corresponding to the type of the semantic attribute is pushed to the terminal held by the second user, so that the prompt information corresponding to the type of the semantic attribute can be pushed according to the type of the semantic attribute of the social information published by the user, so that the prompt information is more humanized, and the user experience is improved.
On the basis of the foregoing embodiment, before the step S102, obtaining a type of semantic attribute of the social information posted by the second user may be further included.
The whole social information can be semantically analyzed, and the analysis process is not limited herein. Or semantic analysis by keywords.
Fig. 2 is a flowchart illustrating a social network interaction information processing method according to another exemplary embodiment, and as shown in fig. 2, on the basis of the foregoing embodiment, obtaining a type of semantic attribute of social information posted by a second user may include:
in step S201, word segmentation is performed on the social information published by the second user, and keywords and/or emoticons forming the social information published by the second user are obtained.
In step S202, semantic analysis is performed on the keywords and/or the emoticons to obtain a type of semantic attribute of the social information issued by the second user.
In the implementation mode, the whole social information is firstly split, for example, "sick today and good too much" published by a user can be split into "sick today-good-too much", when specific analysis is carried out, "today" is a time word, neglects, "sick" is a keyword, shows negative meaning, "good" is a help word, neglects "too much" adjective as a keyword, shows negative meaning, and finally, the social information can be determined to be negative information. The semantic analysis mode can determine the type of the semantic attribute of the social information more accurately. Of course, this is not a limitation.
Optionally, on the basis of the above embodiment, the prompt information of the social interaction information corresponding to the types of different semantic attributes sent by the terminal may also be received. The prompting information of the social interaction information corresponding to the types of the different semantic attributes can be preset by the terminal or input by a user holding the terminal.
For this way of user input, the terminal may provide an input interface for the user, on which different semantic attribute types are displayed, such as "positive attribute" and "negative attribute", and then the user inputs the prompting information that the user wishes to receive from the prompting information of the social interaction information corresponding to each semantic attribute type, for example, "share pleasure" is input in the prompting information corresponding to "positive attribute", and "acquiescent concern" is input in the prompting information corresponding to "negative attribute". Of course, the user may not input, for example, the social information that the user feels "positive attribute" does not need to be set, and then nothing may be input, so that the terminal prompts according to default initial prompting information, for example, "someone replies a message", and the like.
On the basis of the above embodiment, the types of semantic attributes of the social information may include: a positive attribute and a negative attribute. But not limited to, it can also be divided into more detailed semantic familiar types, including: easy, difficult, melancholic, agitated, etc.
The social interaction information may include: reply, or private letter. The reply may include reply of specific information such as characters and expressions, or praise. Of course, the present invention is not limited thereto, and other users may respond to the social information posted by the user.
Fig. 3 is a flowchart of a social network interaction information processing method according to yet another exemplary embodiment, where the social network interaction information processing method is applicable to social application programs in various terminals, such as micro blogs, WeChats, facebook, and the like, and is implemented to push prompt information of social interaction information responded by other users to a user according to the type of semantic attribute of the social information published by the user, so that the prompt information of the social application program is more humanized, and user experience is improved.
The main execution body of the method is a terminal, and different from the foregoing embodiment, the method includes the following steps that after receiving the prompt message sent by the server side, the terminal converts the prompt message according to the semantic attribute of the message issued by the user holding the terminal, and then displays the converted prompt message to the user:
in step S301, response prompt information transmitted by the server is received. And the response prompt message is used for prompting the first user to respond to the social information published by the second user holding the terminal.
The second user holds the terminal, logs in a certain social application program on the terminal to publish social information, the first user responds to the social information published by the second user after logging in the same social application program on the terminal of the first user, and the server sends response prompt information to the terminal held by the second user after receiving the response published by the first user.
The response prompt message may be "the first user replies" or the like, and may further include an identification of the replied social information, which is not limited herein.
In step S302, according to the type of the semantic attribute of the social information published by the second user, the response prompt information is converted into the prompt information of the social interaction information corresponding to the type of the semantic attribute.
Optionally, the social interaction information may include: reply, or private letter.
Namely, the terminal converts the response prompt information into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information issued by the second user and responded by the first user. And then the converted prompt information is displayed to the user.
For example, after the social information posted by the second user is 'good and difficult to pass', the first user replies to the social information and the like, the server sends response prompt information to a terminal held by the second user to inform the terminal that the first user replies to the social information, the terminal knows that the social information is a negative state after semantic analysis, converts the response prompt information into 'friends careless and careless about you', and displays the social information to the second user on the terminal.
In the social network interaction information processing method provided by this embodiment, response prompt information sent by a server is received, where the corresponding prompt information is used to prompt a first user to respond to social information published by a second user holding the terminal, and the response prompt information is converted into prompt information of social interaction information corresponding to a type of a semantic attribute according to the type of the semantic attribute of the social information published by the second user.
Further, similar to the foregoing embodiment, before step S302, the terminal may acquire the type of semantic attribute of the social information posted by the second user.
In the implementation process, as in the embodiment shown in fig. 2, the type of obtaining the semantic attribute of the social information published by the second user may be: performing word segmentation on the social information issued by the second user to obtain keywords and/or emoticons forming the social information issued by the second user; and performing semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user. Reference may be made to the embodiment of fig. 2, which is not described in detail herein.
Optionally, prompt information corresponding to types of different semantic attributes input by the user may be received. For example, the terminal provides an input interface for the user, on which types of different semantic attributes, such as "positive attribute" and "negative attribute", are displayed, and then the user inputs the prompt information that the user wants to receive in the prompt information of the social interaction information corresponding to the types of the semantic attributes, for example, "share pleasure" is input in the prompt information corresponding to the "positive attribute", and "acquiescent concern" is input in the prompt information corresponding to the "negative attribute". Of course, the user may not input, for example, the social information that the user feels "positive attribute" does not need to be set, and then nothing may be input, so that the terminal prompts according to default initial prompting information, for example, "someone replies a message", and the like.
And when the terminal converts the response prompt information into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information issued by the second user, the terminal can convert the response prompt information according to the prompt information input by the user.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 4 is a block diagram illustrating a first embodiment of a social network interaction information processing apparatus, which may be implemented as a processor by software, hardware, or a combination of the two, according to an example embodiment. As shown in fig. 4, the social network interaction information processing apparatus includes: a receiving module 401 and a pushing module 402, wherein:
the receiving module 401 is configured to receive social interaction information input by a first user and sent by a terminal, where the social interaction information is used for responding to social information posted by a second user.
The pushing module 402 is configured to push, to a terminal held by the second user, prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information published by the second user.
The social network interaction information processing device provided by the embodiment of the disclosure receives social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social interaction information published by a second user, and then according to semantic attributes of the social interaction information published by the second user, prompt information of the social interaction information corresponding to the semantic attributes is pushed to the terminal held by the second user, so that the prompt information corresponding to the semantic attributes can be pushed according to the semantic attributes of the social interaction information published by the user, the prompt information is more humanized, and user experience is improved.
On the basis of the embodiment shown in fig. 4, fig. 5 is a block diagram of a second embodiment of a social network interaction information processing apparatus according to an exemplary embodiment, and referring to fig. 5, the apparatus may further include: the obtaining module 403 is configured to obtain the type of the semantic attribute of the social information published by the second user before the pushing module 402 pushes, to the terminal held by the second user, the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information published by the second user.
On the basis of the embodiment shown in fig. 5, fig. 6 is a block diagram of a third embodiment of a social network interaction information processing apparatus according to an exemplary embodiment, and referring to fig. 6, the obtaining module 403 may include:
the segmentation unit 501 is configured to perform word segmentation on the social information published by the second user, and obtain keywords and/or emoticons forming the social information published by the second user.
An analyzing unit 502 configured to perform semantic analysis on the keywords and/or the emoticons to obtain a type of semantic attribute of the social information published by the second user.
On the basis of the embodiment shown in fig. 4, fig. 7 is a block diagram of a fourth embodiment of an apparatus for processing social network interaction information shown in an exemplary embodiment, and referring to fig. 7, the apparatus may further include: the self-defining module 701 is configured to receive prompt information of social interaction information corresponding to different semantic attribute types sent by a terminal.
Optionally, the social interaction information includes: replies, and/or private messages.
Fig. 8 is a block diagram illustrating a fifth embodiment of a social network interaction information processing apparatus, which may be implemented by software, hardware, or a combination of the two as part of or all of an electronic device including a touch display screen, according to an exemplary embodiment. As shown in fig. 8, the social network interaction information processing apparatus includes: a receiving module 801 and a converting module 802, wherein
The receiving module 801 is configured to receive response prompt information sent by a server, where the response prompt information is used to prompt a first user to publish social interaction information in response to social information published by a second user holding a terminal.
A conversion module 802, configured to convert the response prompt information into prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information published by the second user.
The social network interaction information processing device provided by the embodiment of the disclosure receives response prompt information sent by a server, wherein the corresponding prompt information is used for prompting that a first user responds to social information published by a second user holding the terminal, and the response prompt information is converted into prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information published by the second user, so that the prompt information corresponding to the type of the semantic attribute can be displayed to the user according to the type of the semantic attribute of the social information published by the user, thereby enabling the prompt information to be more humanized and improving user experience.
On the basis of the embodiment shown in fig. 8, fig. 9 is a block diagram of a sixth embodiment of an apparatus for processing social network interaction information shown in an exemplary embodiment, and referring to fig. 4, the apparatus may further include:
an obtaining module 803, configured to obtain the type of the semantic attribute of the social information published by the second user before the converting module converts the response prompt information into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information published by the second user.
On the basis of the embodiment shown in fig. 9, fig. 10 is a block diagram of a seventh embodiment of a social network interaction information processing apparatus shown according to an exemplary embodiment, and referring to fig. 10, the obtaining module 803 includes: a segmentation unit 901 and an analysis unit 902.
The segmentation unit 901 is configured to perform word segmentation on the social information published by the second user, and obtain keywords and/or emoticons forming the social information published by the second user.
An analyzing unit 902, configured to perform semantic analysis on the keywords and/or the emoticons to obtain a type of semantic attribute of the social information published by the second user.
On the basis of the embodiment shown in fig. 8, fig. 11 is a block diagram of an eighth embodiment of an apparatus for processing social network interaction information shown according to an exemplary embodiment, and referring to fig. 11, the apparatus further includes:
and the custom module 111 is configured to receive prompt information of the social interaction information corresponding to the types of the different semantic attributes input by the user.
Optionally, the social interaction information includes: reply, or private letter.
The internal functional modules and the structural schematic of the social network interaction information processing apparatus are described above, the entity of the social network interaction information processing apparatus should be a server, fig. 12 is a block diagram of an entity of a server shown according to an exemplary embodiment, and referring to fig. 12, the terminal may specifically include: a processor 121, and a memory 122 for storing processor-executable instructions;
the processor 121 is configured to:
receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user;
and pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the type of the semantic attribute of the social interaction information issued by the second user.
The internal functional modules and the structural schematic of the social network interaction information processing apparatus are described above, and the entity of the social network interaction information processing apparatus may also be a terminal, fig. 13 is a block diagram of an entity of a terminal shown according to an exemplary embodiment, and referring to fig. 13, the terminal may specifically include: a processor 131, and a memory 132 for storing processor-executable instructions;
the processor 131 is configured to:
receiving response prompt information sent by a server, wherein the response prompt information is used for prompting a first user to issue social interaction information so as to respond to the social interaction information issued by a second user holding a terminal;
and converting the response prompt information into prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information issued by the second user.
In the embodiments of the server and the terminal for information, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor, and the aforementioned memory may be a read-only memory (ROM), a Random Access Memory (RAM), a flash memory, a hard disk, or a solid state disk. SIM cards, also known as subscriber identity cards, smart cards, must be installed in a digital mobile phone for use. That is, the information of the digital mobile phone client, the encrypted key and the contents of the user's phone book are stored on the computer chip. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in a hardware processor, or in a combination of hardware and software modules.
FIG. 14 is a block diagram illustrating a server 1400, which may be a social application backend management server, according to an example embodiment. Referring to fig. 14, the server 1400 includes a processing component 1422, which may further include one or more processors, and memory resources, represented by memory 1432, for storing instructions, such as applications, that are executable by the processing component 1422. The application programs stored in memory 1432 may include one or more modules each corresponding to a set of instructions. Further, the processing component 1422 is configured to execute the instructions to perform the above social network interaction information processing method, which includes:
receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user;
and pushing prompt information of the social interaction information corresponding to the type of the semantic attribute to a terminal held by the second user according to the type of the semantic attribute of the social interaction information issued by the second user.
Further, still include:
and acquiring the type of the semantic attribute of the social information issued by the second user before pushing the prompt information of the social interaction information corresponding to the type of the semantic attribute to the second user according to the type of the semantic attribute of the social information issued by the second user.
Further, obtaining the type of the semantic attribute of the social information published by the second user includes:
performing word segmentation on the social information published by the second user to obtain keywords and/or emoticons forming the social information published by the second user;
and performing semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
Further, the method further comprises:
and receiving prompt information of the social interaction information corresponding to the types of the different semantic attributes sent by the terminal.
Optionally, the social interaction information includes: replies, and/or private messages.
In addition, the server 1400 may include a power component 1426 configured to perform power management of the server 1400, a wired or wireless network interface 1450 configured to connect the server 1400 to a network, and an input/output (I/O) interface 1458. Server 1400 may operate based on an operating system stored in memory 1432, such as Windows Server, Mac OS XTM, UnixTM, Linux, FreeBSDTM, or the like.
Fig. 15 is a block diagram illustrating a terminal 1500 according to an example embodiment. For example, the social network interaction information processing device may be a terminal such as a smart phone, a computer, and a tablet computer. Referring to fig. 15, terminal 1500 can include one or more of the following components: processing component 1502, memory 1504, power component 1506, multimedia component 1508, audio component 1510, input/output (I/O) interface 1512, sensor component 1514, and communications component 1516.
The processing component 1502 generally controls overall operation of the terminal 1500, such as operations associated with display, data communication, multimedia operations, and recording operations. The processing components 1502 may include one or more processors 1520 executing instructions to perform all or a portion of the steps of the methods described above. Further, processing component 1502 may include one or more modules that facilitate interaction between processing component 1502 and other components. For example, processing component 1502 may include a multimedia module to facilitate interaction between multimedia component 1508 and processing component 1502.
The power component 1506 provides power to the various components of the terminal 1500. Power components 1506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for terminal 1500.
The multimedia component 1508 includes a screen providing an output interface between the terminal 1500 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The audio component 1510 is configured to output and/or input audio signals. For example, the audio component 1510 includes a Microphone (MIC) configured to receive external audio signals when the terminal 1500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 1504 or transmitted via the communication component 1516. In some embodiments, audio component 1510 also includes a speaker for outputting audio signals.
The I/O interface 1512 provides an interface between the processing component 1502 and peripheral interface modules, which can be keyboards, click wheels, buttons, etc.
The sensor assembly 1514 includes one or more sensors for providing status assessment of various aspects of the terminal 1500. For example, sensor assembly 1514 can detect an open/closed state of terminal 1500, the relative positioning of components such as a display and keypad of terminal 1500, sensor assembly 1514 can also detect a change in position of terminal 1500 or a component of terminal 1500, the presence or absence of user contact with terminal 1500, orientation or acceleration/deceleration of terminal 1500, and a change in temperature of terminal 1500. The sensor assembly 1514 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 1514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 1516 is configured to facilitate wired or wireless communication between the terminal 1500 and other devices. The terminal 1500 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1516 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1516 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the terminal 1500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided that includes instructions, such as the memory 1504 that includes instructions, which are executable by the processor 1520 of the terminal 1500 to perform the above-described methods. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium having instructions therein that, when executed by a processing component of a social network interaction information processing apparatus, enable the social network interaction information processing apparatus to perform a social network interaction information processing method, the method comprising:
receiving response prompt information sent by a server, wherein the response prompt information is used for prompting a first user to issue social interaction information so as to respond to the social interaction information issued by a second user holding a terminal;
and converting the response prompt information into prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social interaction information issued by the second user.
Further, the type of the semantic attribute of the social information issued by the second user is obtained before the response prompt information is converted into the prompt information of the social interaction information corresponding to the type of the semantic attribute according to the type of the semantic attribute of the social information issued by the second user.
Further, the obtaining of the type of the semantic attribute of the social information posted by the second user includes:
performing word segmentation on the social information published by the second user to obtain keywords and/or emoticons forming the social information published by the second user;
and performing semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
Further, on the basis of the above embodiment, prompt information of social interaction information corresponding to types of different semantic attributes input by the user may also be received.
Optionally, the social interaction information includes: reply, or private letter.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (14)
1. A social network interaction information processing method is characterized by comprising the following steps:
receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user;
according to the type of the semantic attribute of the social information issued by the second user, pushing prompt information corresponding to the type of the semantic attribute and used for prompting the receiving of the social interaction information to a terminal held by the second user;
the method further comprises the following steps:
and receiving prompt information of the social interaction information corresponding to the types of the different semantic attributes sent by the terminal.
2. The method of claim 1, further comprising:
and obtaining the type of the semantic attribute of the social information issued by the second user before pushing the prompting information which is corresponding to the type of the semantic attribute and is used for prompting to receive the social interaction information to the second user according to the type of the semantic attribute of the social information issued by the second user.
3. The method of claim 2, wherein obtaining the type of semantic attribute of the social information published by the second user comprises:
performing word segmentation on the social information published by the second user to obtain keywords and/or emoticons forming the social information published by the second user;
and performing semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
4. The method of any of claims 1-3, wherein the social interaction information comprises: replies, and/or private messages.
5. A social network interaction information processing apparatus, comprising:
the receiving module is configured to receive social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social interaction information issued by a second user;
the pushing module is configured to push prompt information which is used for prompting to receive the social interaction information and corresponds to the type of the semantic attribute to the terminal held by the second user according to the type of the semantic attribute of the social interaction information issued by the second user;
the device further comprises:
and the self-defining module is configured to receive prompt information of the social interaction information corresponding to the types of the different semantic attributes sent by the terminal.
6. The apparatus of claim 5, further comprising:
the obtaining module is configured to obtain the type of the semantic attribute of the social information published by the second user before the pushing module pushes prompt information, corresponding to the type of the semantic attribute, for prompting the reception of the social interaction information, to the terminal held by the second user according to the type of the semantic attribute of the social information published by the second user.
7. The apparatus of claim 6, wherein the obtaining module comprises:
the segmentation unit is configured to perform word segmentation on the social information issued by the second user to acquire keywords and/or emoticons forming the social information issued by the second user;
and the analysis unit is configured to perform semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
8. The apparatus of any of claims 5-7, wherein the social interaction information comprises: replies, and/or private messages.
9. A social network interaction information processing apparatus, comprising:
the receiving module is configured to receive response prompt information sent by the server, wherein the response prompt information is used for prompting the first user to issue social interaction information so as to respond to the social interaction information issued by the second user holding the terminal;
the conversion module is configured to convert the response prompt information into prompt information which corresponds to the semantic attribute type and is used for prompting the receiving of the social interaction information according to the semantic attribute type of the social interaction information issued by the second user;
the device further comprises:
and the self-defining module is configured to receive prompt information of the social interaction information corresponding to the types of the different semantic attributes input by the user.
10. The apparatus of claim 9, further comprising:
the obtaining module is configured to obtain the type of the semantic attribute of the social information issued by the second user before the converting module converts the response prompt information into prompt information corresponding to the type of the semantic attribute and used for prompting the receiving of the social interaction information according to the type of the semantic attribute of the social information issued by the second user.
11. The apparatus of claim 10, wherein the obtaining module comprises:
the segmentation unit is configured to perform word segmentation on the social information issued by the second user to acquire keywords and/or emoticons forming the social information issued by the second user;
and the analysis unit is configured to perform semantic analysis on the keywords and/or the emoticons to acquire the type of the semantic attribute of the social information issued by the second user.
12. The apparatus of any of claims 9-10, wherein the social interaction information comprises: reply, or private letter.
13. A server, comprising: a processor, and a memory for storing processor-executable instructions;
the processor is configured to:
receiving social interaction information input by a first user and sent by a terminal, wherein the social interaction information is used for responding to social information issued by a second user;
according to the type of the semantic attribute of the social information issued by the second user, pushing prompt information corresponding to the type of the semantic attribute and used for prompting the receiving of the social interaction information to a terminal held by the second user;
further comprising:
and receiving prompt information of the social interaction information corresponding to the types of the different semantic attributes sent by the terminal.
14. A terminal, comprising: a processor, and a memory for storing processor-executable instructions;
the processor is configured to:
receiving response prompt information sent by a server, wherein the response prompt information is used for prompting a first user to issue social interaction information so as to respond to the social interaction information issued by a second user holding a terminal;
according to the type of the semantic attribute of the social information issued by the second user, converting the response prompt information into prompt information which corresponds to the type of the semantic attribute and is used for prompting the receiving of the social interaction information;
further comprising:
and receiving prompt information of the social interaction information corresponding to the types of the different semantic attributes input by the user.
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| CN107346197B (en) * | 2016-05-05 | 2020-08-25 | 腾讯科技（深圳）有限公司 | Information display method and device |
| CN107786414B (en) * | 2016-08-24 | 2021-01-15 | 中国移动通信有限公司研究院 | Data sending method, device and system |
| CN106339949A (en) * | 2016-08-31 | 2017-01-18 | 重庆金母带科技有限公司 | Article forwarding and sharing processing method based on electronic business card |
| CN110059819B (en) * | 2018-01-17 | 2022-11-25 | 腾讯科技（深圳）有限公司 | Device work control method, device, system, control equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103108017A (en) * | 2011-11-10 | 2013-05-15 | 北京千橡网景科技发展有限公司 | Method and device for transmitting content |
| CN103838749A (en) * | 2012-11-22 | 2014-06-04 | 上海智臻网络科技有限公司 | Method, device and equipment for carrying out corresponding operation on shared information |
| CN104639423A (en) * | 2014-12-24 | 2015-05-20 | 腾讯科技（深圳）有限公司 | Information interaction method, information interaction device and terminals |
| CN104811469A (en) * | 2014-01-29 | 2015-07-29 | 北京三星通信技术研究有限公司 | Mobile terminal and emotion sharing method and device thereof |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI472929B (en) * | 2011-12-08 | 2015-02-11 | Inst Information Industry | Method and system for sharing data utilizing mobile apparatus, mobile apparatus appling the method and computer readable storage medium storing the method |
-
2015
- 2015-12-24 CN CN201510991437.0A patent/CN105512945B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103108017A (en) * | 2011-11-10 | 2013-05-15 | 北京千橡网景科技发展有限公司 | Method and device for transmitting content |
| CN103838749A (en) * | 2012-11-22 | 2014-06-04 | 上海智臻网络科技有限公司 | Method, device and equipment for carrying out corresponding operation on shared information |
| CN104811469A (en) * | 2014-01-29 | 2015-07-29 | 北京三星通信技术研究有限公司 | Mobile terminal and emotion sharing method and device thereof |
| CN104639423A (en) * | 2014-12-24 | 2015-05-20 | 腾讯科技（深圳）有限公司 | Information interaction method, information interaction device and terminals |
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