CN108549681A - Data processing method and device, electronic equipment, computer readable storage medium - Google Patents

Data processing method and device, electronic equipment, computer readable storage medium Download PDF

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Publication number
CN108549681A
CN108549681A CN201810292104.2A CN201810292104A CN108549681A CN 108549681 A CN108549681 A CN 108549681A CN 201810292104 A CN201810292104 A CN 201810292104A CN 108549681 A CN108549681 A CN 108549681A
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mood
keyword
expression data
expression
data
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CN201810292104.2A
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CN108549681B (en
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曾鸿坤
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • G06F40/289Phrasal analysis, e.g. finite state techniques or chunking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/02Input arrangements using manually operated switches, e.g. using keyboards or dials
    • G06F3/023Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
    • G06F3/0233Character input methods
    • G06F3/0237Character input methods using prediction or retrieval techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis

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  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

This application involves a kind of data processing method and device, electronic equipment, computer readable storage mediums.The method includes:Receive the character string inputted by character input boxes;The the first mood keyword for including in the character string is extracted, and association is carried out according to the first mood keyword and obtains the first mood associational word;Corresponding expression data is obtained according to the first mood keyword and the first mood associational word;The expression data is shown.Above-mentioned data processing method and device, electronic equipment, computer readable storage medium can improve the accuracy rate of data processing.

Description

Data processing method and device, electronic equipment, computer readable storage medium
Technical field
This application involves field of computer technology, more particularly to a kind of data processing method and device, electronic equipment, meter Calculation machine readable storage medium storing program for executing.
Background technology
Word is ubiquitous in life, during office, chat, mail, advertising, can pass through word It shows content that user is intended by, can also in real time be exchanged by word.However word is generally difficult to accurately Ground gives expression to the mood of user, if necessary to accurately give expression to mood, generally requires to be described by a large amount of word.
Invention content
A kind of data processing method and device of the embodiment of the present application offer, electronic equipment, computer readable storage medium, can To improve the accuracy rate of data processing.
A kind of data processing method, including:
Receive the character string inputted by character input boxes;
The the first mood keyword for including in the character string is extracted, and association is carried out according to the first mood keyword Obtain the first mood associational word;
Corresponding expression data is obtained according to the first mood keyword and the first mood associational word;
The expression data is shown.
A kind of data processing equipment, including:
Character receiving module, for receiving the character string inputted by character input boxes;
Character association module, for extracting the first mood keyword for including in the character string, and according to described first Mood keyword carries out association and obtains the first mood associational word;
Expression acquisition module, for obtaining corresponding expression according to the first mood keyword and the first mood associational word Data;
Expression display module, for the expression data to be shown.
A kind of electronic equipment, including memory and processor store computer program, the calculating in the memory When machine program is executed by the processor so that the processor executes following steps:
Receive the character string inputted by character input boxes;
The the first mood keyword for including in the character string is extracted, and association is carried out according to the first mood keyword Obtain the first mood associational word;
Corresponding expression data is obtained according to the first mood keyword and the first mood associational word;
The expression data is shown.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor Following steps are realized when row:
Receive the character string inputted by character input boxes;
The the first mood keyword for including in the character string is extracted, and association is carried out according to the first mood keyword Obtain the first mood associational word;
Corresponding expression data is obtained according to the first mood keyword and the first mood associational word;
The expression data is shown.
Above-mentioned data processing method and device, electronic equipment, computer readable storage medium can pass through character input boxes Receive input character string, then according to the text string extracting of input the first mood keyword, and by the first mood keyword into Row association obtains the first mood associational word.Corresponding expression number is obtained according to the first mood keyword and the first mood associational word According to, and the expression data of acquisition is shown.It is understood that when user inputs the first mood keyword, electronics is set It is standby not only to obtain expression data according to the first mood keyword, can also the first mood keyword be subjected to association, obtained With the relevant first mood associational word of the first mood keyword, and according to the first mood associational word obtain expression data.Thus More rich expression data can be obtained, can be more accurately that user recommends expression, improve the efficiency of data transmission.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with Obtain other attached drawings according to these attached drawings.
Fig. 1 is the application environment schematic diagram of data processing method in one embodiment;
Fig. 2 is the flow chart of data processing method in one embodiment;
Fig. 3 is the flow chart of data processing method in another embodiment;
Fig. 4 is the flow chart of data processing method in another embodiment;
Fig. 5 is the flow chart of data processing method in another embodiment;
Fig. 6 is the flow chart of data processing method in another embodiment;
Fig. 7 is the displaying schematic diagram that expression data is obtained in one embodiment;
Fig. 8 is the structural schematic diagram of data processing equipment in one embodiment;
Fig. 9 is the structural schematic diagram of data processing equipment in another embodiment;
Figure 10 is the block diagram with the part-structure of the relevant mobile phone of electronic equipment provided by the embodiments of the present application.
Specific implementation mode
It is with reference to the accompanying drawings and embodiments, right in order to make the object, technical solution and advantage of the application be more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, and It is not used in restriction the application.
It is appreciated that term " first " used in this application, " second " etc. can be used to describe herein various elements, But these elements should not be limited by these terms.These terms are only used to distinguish first element and another element.Citing comes It says, in the case where not departing from scope of the present application, the first client can be known as the second client, and similarly, can incite somebody to action Second client is known as the first client.First client and the second client both client, but it is not same visitor Family end.
Fig. 1 is the application environment schematic diagram of data processing method in one embodiment.As shown in Figure 1, the application environment packet Include user 102 and terminal 104.User 102 can input character string by the character input boxes of terminal 104, when terminal 104 receives To input character string when, can extract the first mood keyword for including in the character string, and by the first mood keyword into Row association, to obtain the first mood associational word.Then it is obtained and is corresponded to according to the first mood keyword and the first mood associational word Expression data, and the expression data got is shown.The table that user 102 can show according to terminal 104 in this way Feelings data are selected, the expression data chosen to input.Wherein, terminal 104 refers to being in computer network outermost, main It is used to input user information and exports the electronic equipment of handling result, such as can be PC, mobile terminal, individual Digital assistants, wearable electronic etc..It is understood that can include only in the application environment of above-mentioned data processing method Terminal 104, does not limit herein.
Fig. 2 is the flow chart of data processing method in one embodiment.As shown in Fig. 2, the data processing method includes step Rapid 202 to step 208.Wherein:
Step 202, the character string inputted by character input boxes is received.
Specifically, one or more application program (Application, APP) can be installed, user can be in electronic equipment The application program installed in electronic equipment is operated.For user during being interacted with electronic equipment, user is by answering Operation is completed with the operation box of program.For example, when playing game, game angle can be manipulated by role's operation box The moving direction of color;When playing music, the size of volume of music can be controlled by volume operation frame;It is regarded in broadcasting When frequency, the progress of video playing can be controlled by progress operation box.
Character input boxes are the operation box that can input character, and user can be by character input boxes into electronic equipment Character is inputted, electronic equipment receives character string input by user by detecting character input boxes.Work as when electronic equipment detects When preceding opening operation frame, it can be determined that whether the operation box currently opened is character input boxes.If the operation box currently opened is Character input boxes then receive the character string that user is inputted by character input boxes.
By taking Android (Android) system as an example, input frame can be defined by EditText controls in Android system, And show the characters' property of input frame input by defining the association attributes of EditText controls.For example, can limit defeated Size, type, digit of the character entered etc..In user operation process, electronic equipment can pass through AddTextChangedListener () method is opened to monitor input frame, then by judging that the character in input frame is long Degree is to determine whether there is input.
Step 204, the first mood keyword for including in character string is extracted, and association is carried out according to the first mood keyword Obtain the first mood associational word.
In one embodiment, the first mood keyword refers to just the keyword for expressing mood.For example, when user is defeated The character string entered is that " I is very glad!", " happiness " is used to express the mood of user's pleasure, then " happiness " is exactly in the character string The first mood keyword.Specifically, the character string of input can be carried out Character segmentation by electronic equipment first, character string is cut It is cut into different keywords, then keyword is identified again, judges whether the keyword of cutting is the mood for expressing mood Keyword.It is understood that may include one or more keywords in character string, then it is determined that the first mood it is crucial Word can also be one or more, herein without limiting.
Association is carried out according to the first mood keyword, that is, obtains keyword associated with the first mood keyword. Obtained the first mood associational word and the first mood antistop list reaches same or analogous mood.For example, the first mood keyword For " sad ", that first mood keyword obtained can be " pain of injury ", " sadness ", " pain ", " distressed ", " grief " etc..Electricity Sub- equipment can manage mood keyword by a mood keywords database, and by the pass of being in a bad mood in mood keywords database Keyword is classified, same or similar per the mood expressed by one kind mood keyword.In this way, electronic equipment is receiving input Character string when, so that it may the keyword for including in character string to be matched with the mood keyword in mood keywords database, If there is the mood keyword to match with the keyword of acquisition in mood keywords database, which can be closed Keyword is as the first mood keyword.And will with the matched of a sort mood keyword of mood keyword, as the first feelings Thread associational word.
It, then can be crucial by the mood of extraction when extracting more than two mood keywords in the character string in input Word is classified, and determines a mood keyword as the first mood keyword from every a kind of mood keyword.For example, carrying The mood keyword taken may include " happiness ", " happy ", " indignant ", " sad ", wherein " happiness " and " happy " is just same Class mood keyword can then obtain any one in " happiness " and " happy " as the first mood keyword, finally really The first fixed mood keyword can be with for " happy ", " indignant ", " sad ".
Specifically, if containing the mood keyword of two types or more in character string, each type can be counted Mood keyword keyword quantity, and choose a mood key from the most a kind of mood keyword of keyword quantity Word is as the first mood keyword.For example, the mood keyword of extraction may include " happiness ", " happy ", " happiness ", " wound The heart " and contains 3 mood keywords wherein " happiness ", " happy ", " happiness " are same class mood keyword.So can To select a keyword as the first mood keyword from " happiness ", " happy ", " happiness ".
Step 206, corresponding expression data is obtained according to the first mood keyword and the first mood associational word.
Expression data refer to can be able to be specifically with the data of figurative expression mood, expression data static images, character, The diversified forms such as dynamic picture, do not limit herein.Several expression datas can be stored in electronic equipment, each expression number According to there is corresponding expression to identify, the correspondence of expression data and mood keyword is established, it then can according to mood keyword To obtain corresponding expression data.Each mood keyword can correspond to one or more expression datas, then can be according to One mood keyword and the second mood associational word obtain corresponding expression data, and expression data is shown.
Step 208, expression data is shown.
In embodiment provided by the present application, the expression data of acquisition is shown by electronic equipment, and user can basis The expression data of displaying needs expression data to be used to determine.Specifically, if electronic equipment is by the pantomimia data of acquisition It is shown, the larger area of display screen may be occupied, then can determine part expression data from the expression data of acquisition It is shown.For example, can be determined according to the access times of expression data, by the expression data of acquisition according to coefficient of utilization into Row sequence, and the more expression data of access times is shown.
The data processing method that above-described embodiment provides can receive the character string of input, then by character input boxes According to text string extracting the first mood keyword of input, and the first mood keyword is subjected to association and obtains the association of the first mood Word.Obtain corresponding expression data according to the first mood keyword and the first mood associational word, and by the expression data of acquisition into Row displaying.It is understood that when user inputs the first mood keyword, electronic equipment can not only be closed according to the first mood Keyword obtains expression data, can also the first mood keyword be carried out association, obtains and the first mood keyword relevant the One mood associational word, and expression data is obtained according to the first mood associational word.It can be obtained by more rich expression data in this way, It can be more accurately that user recommends expression, improve the efficiency of data transmission.
Fig. 3 is the flow chart of data processing method in another embodiment.As shown in figure 3, the data processing method includes Step 302 is to step 318.Wherein:
Step 302, the character string inputted by character input boxes is received.
Step 304, according to syntactic structure by string segmentation at least one keyword, and from least one keyword It obtains and presets the corresponding keyword of grammer classification as the first mood keyword.
It in one embodiment, can be first to character after receiving the character string inputted by character input boxes String is split processing, and by string segmentation at single keyword, whether the keyword then identified again is that mood is closed Keyword.Specifically, character string can be cut into at least one keyword according to syntactic structure, and is obtained from obtained keyword Take the other keyword of default syntactic class as the first mood keyword.Syntactic structure is used for the function and group of word in definitional language Relationship is knitted, the syntactic structure of different language is different.Can may include subject, predicate, guest by the ingredient in sentence in Chinese Character string can be split into multiple keywords by language, attribute etc. according to syntactic structure.Keyword can be divided into again noun, for several times, The classifications such as verb, adjective, so that it may using the default corresponding keyword of grammer classification as the first mood keyword.
For example, user can input character string according to character input boxes, it is assumed that the character string of input is that " I is very high Emerging ", then character string can be split into the keywords such as " I ", "Yes", " very ", " glad " according to syntactic structure.It can Using by adjective as default grammer classification, then can be using " glad " as the first mood keyword.
Step 306, association is carried out according to the first mood keyword and obtains the first mood associational word.
In one embodiment, mood keywords database can be stored in electronic equipment, if store in mood keywords database Dry mood keyword.Electronic equipment can classify the mood keyword root of storage according to different emotion expression services, and by feelings Thread keyword carries out classification storage.The mood keyword for including in classification where the first mood keyword can be obtained, as the One mood associational word.It is understood that electronic equipment can be periodically to obtaining mood keyword, and according to obtaining from server The mood keyword taken is updated mood keywords database.
Step 308, the network connection state of electronic equipment is detected.
When obtaining expression data, it both can locally be obtained in electronic equipment, and can also network and be obtained. Specifically, the network connection state that can detect electronic equipment obtains expression number according to the network connection state of electronic equipment According to.
Step 310, if detecting, electronic equipment connects network, and the first mood keyword is obtained by the network connected Expression data corresponding with the first mood associational word.
In embodiment provided by the present application, when electronic equipment is connected to network, it can be obtained by the network connected Take the first mood keyword and the corresponding expression data of the first mood associational word.Specifically, electronic equipment can be by the first mood Keyword and the first mood associational word are sent to server, and server can search the first mood keyword and the first mood associational word Corresponding expression data, and the expression data found is sent in electronic equipment.
Electronic equipment can pass through WiFi (WIreless-Fidelity, Wireless Fidelity), cellular mo-bile data network, indigo plant The networks such as tooth (Bluetooth) are attached, and before obtaining expression data, can first determine whether the network class of connected network Type obtains expression data if the network of connection is default network type by the network connected.For example, electronic equipment connects When meeting WiFi, expression data can be obtained by the WiFi of connection;Since the quantity of expression data may be relatively more, if The cellular mo-bile data network of electronic equipment connection can directly be set in electronics then can not have to obtain by network Standby local lookup expression data
Step 312, if detecting, electronic equipment disconnects network, in the expression data library of electronic equipment storage, obtains First mood keyword and the corresponding expression data of the first mood associational word.
When detecting that electronic equipment disconnects network, it can be obtained in the expression data library that electronic equipment is locally stored Take expression data.The first mood keyword that user can input electronic device histories counts, and obtains each mood The corresponding history of keyword inputs number, and inputting number according to history is ranked up the first mood keyword, according to from sequence Mood keyword to be updated is obtained in the first mood keyword afterwards.When electronic equipment is connected to network, network can be passed through Acquisition and the associated mood keyword of mood keyword to be updated and corresponding expression data, and the mood of acquisition is crucial Word and expression data are updated mood keywords database and expression data library.
Step 314, the corresponding history access times of expression data are obtained.
When user needs using expression, the expression data of displaying can be recommended to be chosen according to electronic equipment, It can also directly be chosen from expression data library.When user selects and uses expression data every time, electronic equipment is all It can add up to the access times of used expression data, and history access times are obtained according to accumulated result.
Step 316, expression data is ranked up according to history access times, and is obtained from the expression data after sequence Target expression data.
History illustrates that user more likes using the more expression data of data.According to history access times to expression data It is ranked up, and obtains target expression data from the expression data after sequence.Usually, can by history access times compared with More expression datas is shown as target expression data, and by target expression data.
Step 318, target expression data is shown.
As an example it is assumed that electronic equipment can show five expression pictures, then can be according to history access times Expression picture is subjected to descending arrangement, then obtains and is arranged in the expression picture of first five as target expression data, and by target Expression data is shown.
Specifically, it when obtaining expression data, can be carried out according to the network performance of electronic equipment connected network It obtains, then the step of obtaining expression data includes:
Step 402, the network performance data of connected network is obtained.
Step 404, if network performance data is more than performance threshold, it is crucial that the first mood is obtained by the network connected Word and the corresponding expression data of the first mood associational word.
Step 406, if network performance data is less than or equal to performance threshold, in the expression data library of electronic equipment storage In, obtain the first mood keyword and the corresponding expression data of the first mood associational word.
Network performance data refers to the related data for the performance for identifying connected network.For example, network data can be net Network signal strength, when connecting cellular mo-bile data network, network performance data can be residual flow etc..When network performance number When according to more than performance threshold, expression data can be obtained by network, when network performance data is less than or equal to performance threshold When, expression data can be obtained in the expression data library that electronic equipment is locally stored.For example, when the WiFi signal of connection compares When weak, then directly expression data locally can be obtained in electronic equipment;It, can when the WiFi signal of connection is stronger Expression data is obtained with WiFi network by connection.
In other embodiment provided by the present application, electronic equipment can not only be recommended according to character string input by user Expression data can also recommend expression to data according to the character string that other electronic equipments are sent.Specifically, expression number is obtained According to method may include:
Step 502, the conversation message that second terminal is sent is received in interactive sessions.
It is understood that user can be communicated by electronic equipment and other users, electronic equipment can be made For message sending end, message sink end can also be used as.Specifically, may include that first terminal and second are whole in session context End, user can input character string by first terminal, and first terminal can recommend expression number according to character string input by user According to.Meanwhile first terminal can also receive the conversation message of second terminal transmission, when the session for receiving second terminal transmission disappears After breath, first terminal can also recommend expression data according to the conversation message received.
Step 504, the second mood keyword for including in conversation message is extracted.
After first terminal receives the conversation message of second terminal transmission, can detect whether conversation message is word Message, if detecting, the conversation message is word message, the mood keyword in the conversation message is extracted, as the second mood Keyword.It is non-legible message if the conversation message received, then is not necessarily to be handled.
Step 506, expression number is obtained according to the first mood keyword, the second mood keyword and the first mood associational word According to.
After extracting the second mood keyword for including in conversation message, can according to according to the first mood keyword, Second mood keyword and the first mood associational word obtain expression data, so both can be according to the mood of the user of first terminal State recommends expression data, and can recommend expression data according to the emotional state of second terminal user.Include specifically:
Step 602, the corresponding Expression intensity of the second mood keyword is obtained, and according to the first mood keyword and the first feelings Thread associational word, which obtains, refers to expression data, and Expression intensity is used to indicate the degree of strength of emotion expression service.
In one embodiment, Expression intensity is used to express the degree of strength of mood.It specifically, can be by mood keyword The mood degree of strength of the different grade of corresponding expression data point, different grades of expression data expression is different.For example, glad Degree of strength may include glad, be very glad, be very delight etc..It can then be obtained according to the second mood keyword received Take the strong and weak program of expression.For example, when the message that second terminal is sent is " I is hard hit ", user is inputted by first terminal Character string be " you will be more happily ".That is the first mood keyword is " happy ", and the second mood keyword is " sad ", then The happy Expression intensity generated can be slightly weaker.When the message that second terminal is sent is " I am very happy ", user It is " I nor the normally opened heart " by the character string that first terminal inputs.The Expression intensity so generated can more it is strong a bit, To indicate the mood started extremely.
Specifically, second terminal can also be strong to obtain expression according to the character string of the character input boxes input received Degree extracts the degree keyword in character string, and obtains corresponding Expression intensity according to degree keyword.For example, can extract The qualifier comprising expression degree is as degree keyword in character string, for example the degree such as " very ", " very ", "abnormal" are crucial Word, and by the degree keyword extracted come judge generate expression data degree of strength.Expression intensity is stronger, corresponding Mood expressed by the expression data of acquisition is stronger;On the contrary, Expression intensity is weaker, expressed by the corresponding expression data obtained Mood is more flat.
Step 604, from reference to the corresponding expression data of acquisition Expression intensity in expression data.
Fig. 7 is the displaying schematic diagram that expression data is obtained in one embodiment.As described in Figure 7, user can pass through electronics The character input boxes of equipment input character string, and the character string 702 of input is " I am especially excited ", then is identified according to character string 702 The first obtained mood keyword 704 is " excitement ".It is carried out joining conceivable first mood connection according to the first mood keyword 704 Think that word is " happiness ", " happiness ", " excitement ", is then got according to the first mood keyword 704 and the first mood associational word 706 Expression data 708.It is understood that 706 corresponding expression of each first mood keyword 704 and the first mood associational word Data 708 can be one or more, and the expression data of acquisition can be shown, be selected for user by electronic equipment.
The data processing method that above-described embodiment provides can receive the character string of input, then by character input boxes According to text string extracting the first mood keyword of input, and the first mood keyword is subjected to association and obtains the association of the first mood Word.Corresponding expression data is obtained according to the first mood keyword and the first mood associational word.Then going through according to expression data History access times obtain target expression data, and target expression data is shown.It is understood that when user's input the When one mood keyword, electronic equipment not only can obtain expression data according to the first mood keyword, can also be by the first feelings Thread keyword carries out association, obtain with the relevant first mood associational word of the first mood keyword, and according to the first mood associate Word obtains expression data.It can be obtained by more rich expression data in this way, can be more accurately that user recommends expression, improve The efficiency of data transmission.
It should be understood that although each step in the flow chart of Fig. 2 to Fig. 6 is shown successively according to the instruction of arrow, But these steps are not the inevitable sequence indicated according to arrow to be executed successively.Unless expressly state otherwise herein, these There is no stringent sequences to limit for the execution of step, these steps can execute in other order.Moreover, in Fig. 2 to Fig. 6 At least part step may include that either these sub-steps of multiple stages or stage are not necessarily same to multiple sub-steps One moment executed completion, but can execute at different times, and the execution in these sub-steps or stage sequence is also not necessarily Be carry out successively, but can with other steps either the sub-step of other steps or at least part in stage in turn or Alternately execute.
Fig. 8 is the structural schematic diagram of data processing equipment in one embodiment.As shown in figure 8, the data processing equipment 800 Including character receiving module 802, character association module 804, expression acquisition module 806 and expression display module 808.Wherein:
Character receiving module 802, for receiving the character string inputted by character input boxes.
Character association module 804, for extracting the first mood keyword for including in the character string, and according to described One mood keyword carries out association and obtains the first mood associational word.
Expression acquisition module 806, it is corresponding for being obtained according to the first mood keyword and the first mood associational word Expression data.
Expression display module 808, for the expression data to be shown.
The data processing equipment that above-described embodiment provides can receive the character string of input, then by character input boxes According to text string extracting the first mood keyword of input, and the first mood keyword is subjected to association and obtains the association of the first mood Word.Obtain corresponding expression data according to the first mood keyword and the first mood associational word, and by the expression data of acquisition into Row displaying.It is understood that when user inputs the first mood keyword, electronic equipment can not only be closed according to the first mood Keyword obtains expression data, can also the first mood keyword be carried out association, obtains and the first mood keyword relevant the One mood associational word, and expression data is obtained according to the first mood associational word.It can be obtained by more rich expression data in this way, It can be more accurately that user recommends expression, improve the efficiency of data transmission.
Fig. 9 is the structural schematic diagram of data processing equipment in another embodiment.As shown in figure 9, the data processing equipment 900 include character receiving module 902, character association module 904, expression acquisition module 906, number acquisition module 908 and expression Display module 910.Wherein:
Character receiving module 902, for receiving the character string inputted by character input boxes.
Character association module 904, for extracting the first mood keyword for including in the character string, and according to described One mood keyword carries out association and obtains the first mood associational word.
Expression acquisition module 906, it is corresponding for being obtained according to the first mood keyword and the first mood associational word Expression data.
Number acquisition module 908, for obtaining the corresponding history access times of the expression data;Made according to the history The expression data is ranked up with number, and obtains target expression data from the expression data after sequence.
Expression display module 910, for the target expression data to be shown.
The data processing equipment that above-described embodiment provides can receive the character string of input, then by character input boxes According to text string extracting the first mood keyword of input, and the first mood keyword is subjected to association and obtains the association of the first mood Word.Corresponding expression data is obtained according to the first mood keyword and the first mood associational word.Then going through according to expression data History access times obtain target expression data, and target expression data is shown.It is understood that when user's input the When one mood keyword, electronic equipment not only can obtain expression data according to the first mood keyword, can also be by the first feelings Thread keyword carries out association, obtain with the relevant first mood associational word of the first mood keyword, and according to the first mood associate Word obtains expression data.It can be obtained by more rich expression data in this way, can be more accurately that user recommends expression, improve The efficiency of data transmission.
In one embodiment, character association module 904 is additionally operable to string segmentation according to syntactic structure at least one A keyword, and obtained from least one keyword and preset the corresponding keyword of grammer classification as the first mood key Word.
In one embodiment, expression acquisition module 906 is additionally operable to the network connection state of detection electronic equipment;If detection Network is connected to the electronic equipment, then the first mood keyword is obtained by the network connected and the first mood is associated The corresponding expression data of word;If detecting, the electronic equipment disconnects network, in the expression data of electronic equipment storage In library, the first mood keyword and the corresponding expression data of the first mood associational word are obtained.
In one embodiment, expression acquisition module 906 is additionally operable to obtain the network performance data of connected network;If institute It states network performance data and is more than performance threshold, then the first mood keyword and the first mood are obtained by the network connected The corresponding expression data of associational word;If the network performance data is less than or equal to performance threshold, deposited in the electronic equipment In the expression data library of storage, the first mood keyword and the corresponding expression data of the first mood associational word are obtained.
In one embodiment, expression acquisition module 906 is additionally operable to receive the meeting that second terminal is sent in interactive sessions Talk about message;Extract the second mood keyword for including in the conversation message;According to the first mood keyword, the second mood Keyword and the first mood associational word obtain expression data.
In one embodiment, expression acquisition module 906 is additionally operable to obtain the corresponding expression of the second mood keyword Intensity, and obtained according to the first mood keyword and the first mood associational word and refer to expression data, the Expression intensity is used In the degree of strength for indicating emotion expression service;The corresponding expression data of the Expression intensity is obtained from the reference expression data.
Realizing for modules in the data processing equipment provided in the embodiment of the present application can be the shape of computer program Formula.The computer program can be run in terminal or server.The program module that the computer program is constituted is storable in terminal Or on the memory of server.When the computer program is executed by processor, method described in the embodiment of the present application is realized Step.
The embodiment of the present application also provides a kind of computer readable storage mediums.One or more is executable comprising computer The non-volatile computer readable storage medium storing program for executing of instruction, when the computer executable instructions are executed by one or more processors When so that the step of the processor configuration for executing data processing.
A kind of computer program product including instruction, when run on a computer so that computer implemented data Processing method.
The embodiment of the present application also provides a kind of electronic equipment.As shown in Figure 10, for convenience of description, it illustrates only and this Apply for that the relevant part of embodiment, particular technique details are not disclosed, please refers to the embodiment of the present application method part.The electronics is set Include mobile phone, tablet computer, PDA (Personal Digital Assistant, personal digital assistant), POS for that can be The arbitrary terminal device such as (Point of Sales, point-of-sale terminal), vehicle-mounted computer, Wearable, using electronic equipment as mobile phone For:
Figure 10 is the block diagram with the part-structure of the relevant mobile phone of electronic equipment provided by the embodiments of the present application.Reference chart 10, mobile phone includes:Radio frequency (Radio Frequency, RF) circuit 1010, memory 1020, input unit 1030, display unit 1040, sensor 1050, voicefrequency circuit 1060, Wireless Fidelity (wireless fidelity, WiFi) module 1070, processor The components such as 1080 and power supply 1090.It will be understood by those skilled in the art that handset structure shown in Fig. 10 does not constitute opponent The restriction of machine may include either combining certain components or different components arrangement than illustrating more or fewer components.
Wherein, RF circuits 1010 can be used for receiving and sending messages or communication process in, signal sends and receivees, can be by base station After downlink information receives, handled to processor 1080;The data of uplink can also be sent to base station.In general, RF circuits include But be not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..In addition, RF circuits 1010 can also be communicated with network and other equipment by radio communication.It is above-mentioned wireless Communication can use any communication standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile communication, GSM), general packet radio service (General Packet Radio Service, GPRS), CDMA (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE)), Email, Short message service (Short Messaging Service, SMS) etc..
Memory 1020 can be used for storing software program and module, and processor 1080 is stored in memory by operation 1020 software program and module, to execute various function application and the data processing of mobile phone.Memory 1020 can be led To include program storage area and data storage area, wherein program storage area can storage program area, needed at least one function Application program (such as the application program of sound-playing function, application program of image player function etc.) etc.;It data storage area can Storage uses created data (such as audio data, address list etc.) etc. according to mobile phone.In addition, memory 1020 can wrap High-speed random access memory is included, can also include nonvolatile memory, for example, at least disk memory, a flash memories Part or other volatile solid-state parts.
Input unit 1030 can be used for receiving the number or character information of input, and generates and set with the user of mobile phone 1000 It sets and the related key signals of function control inputs.Specifically, input unit 1030 may include touch panel 1031 and other Input equipment 1032.Touch panel 1031, alternatively referred to as touch screen collect user on it or neighbouring touch operation (are compared Such as user is using finger, stylus any suitable object or attachment on touch panel 1031 or near touch panel 1031 Operation), and corresponding attachment device is driven according to preset formula.In one embodiment, touch panel 1031 can Including both touch detecting apparatus and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and examine The signal that touch operation is brought is surveyed, touch controller is transmitted a signal to;Touch controller is received from touch detecting apparatus to be touched Information is touched, and is converted into contact coordinate, then gives processor 1080, and order that processor 1080 is sent can be received and added To execute.Furthermore, it is possible to realize touch panel using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves 1031.In addition to touch panel 1031, input unit 1030 can also include other input equipments 1032.Specifically, other are inputted Equipment 1032 can include but is not limited to one in physical keyboard, function key (such as volume control button, switch key etc.) etc. Kind is a variety of.
Display unit 1040 can be used for showing information input by user or be supplied to user information and mobile phone it is each Kind menu.Display unit 1040 may include display panel 1041.In one embodiment, liquid crystal display may be used (Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting Diode, ) etc. OLED forms configure display panel 1041.In one embodiment, touch panel 1031 can cover display panel 1041, When touch panel 1031 detects on it or after neighbouring touch operation, processor 1080 is sent to determine touch event Type is followed by subsequent processing device 1080 and provides corresponding visual output on display panel 1041 according to the type of touch event.Although In Fig. 10, touch panel 1031 and display panel 1041 are to realize the input and input of mobile phone as two independent components Function, but in some embodiments it is possible to touch panel 1031 and display panel 1041 are integrated and are realized the input of mobile phone And output function.
Mobile phone 1000 may also include at least one sensor 1050, such as optical sensor, motion sensor and other biographies Sensor.Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ring The light and shade of border light adjusts the brightness of display panel 1041, and proximity sensor can close display when mobile phone is moved in one's ear Panel 1041 and/or backlight.Motion sensor may include acceleration transducer, can detect all directions by acceleration transducer The size of upper acceleration can detect that size and the direction of gravity when static, the application that can be used to identify mobile phone posture is (such as horizontal Vertical screen switches), Vibration identification correlation function (such as pedometer, tap) etc.;In addition, mobile phone can also configure gyroscope, barometer, Other sensors such as hygrometer, thermometer, infrared sensor etc..
Voicefrequency circuit 1060, loud speaker 1061 and microphone 1062 can provide the audio interface between user and mobile phone.Sound The transformed electric signal of the audio data received can be transferred to loud speaker 1061 by frequency circuit 1060, by 1061 turns of loud speaker It is changed to voice signal output;On the other hand, the voice signal of collection is converted to electric signal by microphone 1062, by voicefrequency circuit Audio data is converted to after 1060 receptions, then by after the processing of audio data output processor 1080, can be sent out through RF circuits 1010 Another mobile phone is given, or audio data is exported to memory 1020 so as to subsequent processing.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 1070 Part, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Figure 10 is shown WiFi module 1070, but it is understood that, and it is not belonging to must be configured into for mobile phone 1000, it can save as needed Slightly.
Processor 1080 is the control centre of mobile phone, using the various pieces of various interfaces and connection whole mobile phone, By running or execute the software program and/or module that are stored in memory 1020, and calls and be stored in memory 1020 Interior data execute the various functions and processing data of mobile phone, to carry out integral monitoring to mobile phone.In one embodiment, Processor 1080 may include one or more processing units.In one embodiment, processor 1080 can integrate application processor And modem processor, wherein the main processing operation system of application processor, user interface and application program etc.;Modulatedemodulate Processor is adjusted mainly to handle wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor In 1080.
Mobile phone 1000 further includes the power supply 1090 (such as battery) powered to all parts, it is preferred that power supply can pass through Power-supply management system and processor 1080 are logically contiguous, to realize management charging, electric discharge, Yi Jigong by power-supply management system The functions such as consumption management.
In one embodiment, mobile phone 1000 can also include camera, bluetooth module etc..
In the embodiment of the present application, the processor 1080 included by the electronic equipment executes the calculating of storage on a memory The step of data processing method is realized when machine program.
Used in this application may include to any reference of memory, storage, database or other media is non-volatile And/or volatile memory.Nonvolatile memory may include that read-only memory (ROM), programming ROM (PROM), electricity can be compiled Journey ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include random access memory (RAM), it is used as external cache.By way of illustration and not limitation, RAM is available in many forms, such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) directly RAM (RDRAM), straight Connect memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM).
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously Cannot the limitation to the application the scope of the claims therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art For, under the premise of not departing from the application design, various modifications and improvements can be made, these belong to the guarantor of the application Protect range.Therefore, the protection domain of the application patent should be determined by the appended claims.

Claims (10)

1. a kind of data processing method, which is characterized in that including:
Receive the character string inputted by character input boxes;
The the first mood keyword for including in the character string is extracted, and association is carried out according to the first mood keyword and is obtained First mood associational word;
Corresponding expression data is obtained according to the first mood keyword and the first mood associational word;
The expression data is shown.
2. according to the method described in claim 1, it is characterized in that, the first mood for including in the extraction character string is closed Keyword, including:
According to syntactic structure by string segmentation at least one keyword, and obtains and preset from least one keyword The corresponding keyword of grammer classification is as the first mood keyword.
3. according to the method described in claim 1, it is characterized in that, described according to the first mood keyword and the first mood Associational word obtains corresponding expression data, including:
Detect the network connection state of electronic equipment;
If detecting electronic equipment connection network, the first mood keyword and the are obtained by the network connected The corresponding expression data of one mood associational word;
If detecting, the electronic equipment disconnects network, in the expression data library of electronic equipment storage, described in acquisition First mood keyword and the corresponding expression data of the first mood associational word.
4. according to the method described in claim 3, it is characterized in that, it is described by the network that is connected according to first mood Keyword and the first mood associational word obtain corresponding expression data, including:
Obtain the network performance data of connected network;
If the network performance data is more than performance threshold, by the network that is connected obtain the first mood keyword and The corresponding expression data of first mood associational word;
If the network performance data is less than or equal to performance threshold, in the expression data library of electronic equipment storage, Obtain the first mood keyword and the corresponding expression data of the first mood associational word.
5. according to the method described in claim 1, it is characterized in that, described according to the first mood keyword and the first mood Associational word obtains corresponding expression data, including:
The conversation message that second terminal is sent is received in interactive sessions;
Extract the second mood keyword for including in the conversation message;
Expression data is obtained according to the first mood keyword, the second mood keyword and the first mood associational word.
6. according to the method described in claim 5, it is characterized in that, described according to the first mood keyword, the second mood Keyword and the first mood associational word obtain expression data, including:
The corresponding Expression intensity of the second mood keyword is obtained, and is joined according to the first mood keyword and the first mood Think that word obtains and refer to expression data, the Expression intensity is used to indicate the degree of strength of emotion expression service;
The corresponding expression data of the Expression intensity is obtained from the reference expression data.
7. method according to any one of claims 1 to 6, which is characterized in that described to be shown the expression data Before, further include:
Obtain the corresponding history access times of the expression data;
The expression data is ranked up according to the history access times, and target is obtained from the expression data after sequence Expression data;
It is described by the expression data be shown including:
The target expression data is shown.
8. a kind of data processing equipment, which is characterized in that including:
Character receiving module, for receiving the character string inputted by character input boxes;
Character association module, for extracting the first mood keyword for including in the character string, and according to first mood Keyword carries out association and obtains the first mood associational word;
Expression acquisition module, for obtaining corresponding expression number according to the first mood keyword and the first mood associational word According to;
Expression display module, for the expression data to be shown.
9. a kind of electronic equipment, including memory and processor, computer program, the computer are stored in the memory When program is executed by the processor so that the processor executes the step of the method as described in any one of claim 1 to 7 Suddenly.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of method as described in any one of claim 1 to 7 is realized when being executed by processor.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111291184A (en) * 2020-01-20 2020-06-16 百度在线网络技术(北京)有限公司 Expression recommendation method, device, equipment and storage medium
WO2020221104A1 (en) * 2019-04-30 2020-11-05 上海连尚网络科技有限公司 Emoji packet presentation method and equipment
CN112199215A (en) * 2020-10-13 2021-01-08 恒生电子股份有限公司 Message processing method, device, equipment and storage medium
CN114442816A (en) * 2020-11-04 2022-05-06 北京搜狗科技发展有限公司 Association prefetching method and device for association prefetching

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004086001A (en) * 2002-08-28 2004-03-18 Sony Corp Conversation processing system, conversation processing method, and computer program
CN101281430A (en) * 2007-04-06 2008-10-08 北京三星通信技术研究有限公司 Apparatus with expression symbol associating input function and associating input method
CN103902535A (en) * 2012-12-24 2014-07-02 腾讯科技(深圳)有限公司 Method, device and system for obtaining associational word
US8825515B1 (en) * 2011-10-27 2014-09-02 PulsePopuli, LLC Sentiment collection and association system
CN104836726A (en) * 2015-04-01 2015-08-12 网易(杭州)网络有限公司 Method and device for displaying chatting emoticons
CN104917669A (en) * 2015-05-29 2015-09-16 北京搜狗科技发展有限公司 Information processing method and device
CN105843606A (en) * 2016-03-17 2016-08-10 海信集团有限公司 Emotion animation displaying method and device
CN105929976A (en) * 2016-05-25 2016-09-07 广州市久邦数码科技有限公司 Input method-based dynamic expression input method and system
CN106341724A (en) * 2016-08-29 2017-01-18 刘永娜 Expression image marking method and system
CN107315820A (en) * 2017-07-01 2017-11-03 北京奇虎科技有限公司 The expression searching method and device of User Interface based on mobile terminal
CN107577804A (en) * 2017-09-26 2018-01-12 广东欧珀移动通信有限公司 Associational word methods of exhibiting, mobile terminal and computer-readable recording medium
CN107590214A (en) * 2017-08-30 2018-01-16 腾讯科技(深圳)有限公司 The recommendation method, apparatus and electronic equipment of search key

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004086001A (en) * 2002-08-28 2004-03-18 Sony Corp Conversation processing system, conversation processing method, and computer program
CN101281430A (en) * 2007-04-06 2008-10-08 北京三星通信技术研究有限公司 Apparatus with expression symbol associating input function and associating input method
US8825515B1 (en) * 2011-10-27 2014-09-02 PulsePopuli, LLC Sentiment collection and association system
CN103902535A (en) * 2012-12-24 2014-07-02 腾讯科技(深圳)有限公司 Method, device and system for obtaining associational word
CN104836726A (en) * 2015-04-01 2015-08-12 网易(杭州)网络有限公司 Method and device for displaying chatting emoticons
CN104917669A (en) * 2015-05-29 2015-09-16 北京搜狗科技发展有限公司 Information processing method and device
CN105843606A (en) * 2016-03-17 2016-08-10 海信集团有限公司 Emotion animation displaying method and device
CN105929976A (en) * 2016-05-25 2016-09-07 广州市久邦数码科技有限公司 Input method-based dynamic expression input method and system
CN106341724A (en) * 2016-08-29 2017-01-18 刘永娜 Expression image marking method and system
CN107315820A (en) * 2017-07-01 2017-11-03 北京奇虎科技有限公司 The expression searching method and device of User Interface based on mobile terminal
CN107590214A (en) * 2017-08-30 2018-01-16 腾讯科技(深圳)有限公司 The recommendation method, apparatus and electronic equipment of search key
CN107577804A (en) * 2017-09-26 2018-01-12 广东欧珀移动通信有限公司 Associational word methods of exhibiting, mobile terminal and computer-readable recording medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
YOUN-KYUNG LIM等: "Interactivity Attributes for Expression-oriented Interaction Design", 《IJDESIGN》, pages 1 - 33 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020221104A1 (en) * 2019-04-30 2020-11-05 上海连尚网络科技有限公司 Emoji packet presentation method and equipment
CN111291184A (en) * 2020-01-20 2020-06-16 百度在线网络技术(北京)有限公司 Expression recommendation method, device, equipment and storage medium
CN112199215A (en) * 2020-10-13 2021-01-08 恒生电子股份有限公司 Message processing method, device, equipment and storage medium
CN112199215B (en) * 2020-10-13 2024-01-19 恒生电子股份有限公司 Message processing method, device, equipment and storage medium
CN114442816A (en) * 2020-11-04 2022-05-06 北京搜狗科技发展有限公司 Association prefetching method and device for association prefetching

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