CN111401009A - Digital expression symbol recognition conversion method, device, server and storage medium - Google Patents
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Abstract
The invention discloses a method, a device, a server and a storage medium for identifying and converting digital emoticons, wherein the method comprises the following steps: extracting a digital emoticon in first information input by a user; matching the digital emoticons with corresponding digital information in a preset emoticon coding library; replacing the digital emoticons in the first information with the digital information to generate second information; and performing data statistics on the user based on the second information. The technical scheme of the invention realizes the effects of self-adaptively identifying the digital emoticon and facilitating data statistics.
Description
Technical Field
The embodiment of the invention relates to the field of databases, in particular to a digital emoticon identification conversion method, a digital emoticon identification conversion device, a server and a storage medium.
Background
At present, both mobile terminal equipment and an advanced input method can input emoji emoticons. For example: digital emoticons, etc., which are not within the utf8 character set, will cause the database based on the utf8 character set to report errors in the insertion operation. The conventional solution is to adjust the corresponding character set code utf8mb4, so that the corresponding emoticon will not be entered in digital storage. Although the implementation can store the digital emoticons in a storage, the hidden danger caused by the emoticon numbers cannot be fundamentally eliminated, and for example, when the digital emoticons are needed to be compared and judged, the digits cannot be identified to be compared and checked.
Disclosure of Invention
The invention provides a digital emoticon identification conversion method, a digital emoticon identification conversion device, a server and a storage medium, which are used for realizing the effects of self-adaptive identification of digital emoticons and convenience in data statistics.
In a first aspect, an embodiment of the present invention provides a method for identifying and converting a digital emoticon, including:
extracting a digital emoticon in first information input by a user;
matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
replacing the digital emoticons in the first information with the digital information to generate second information;
and performing data statistics on the user based on the second information.
In a second aspect, an embodiment of the present invention further provides a digital emoticon recognition conversion apparatus, including:
the digital emoticon extracting module is used for extracting the digital emoticons in the first information input by the user;
the digital information matching module is used for matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
the second information generation module is used for replacing the digital emoticons in the first information with the digital information to generate second information;
and the data statistics module is used for carrying out data statistics on the user based on the second information.
In a third aspect, an embodiment of the present invention further provides a server, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the digital emoticon recognition conversion method as described above.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the digital emoticon recognition conversion method as described above.
According to the technical scheme, the digital emoticons in the first information input by the user are extracted; matching the digital emoticons with corresponding digital information in a preset emoticon coding library; replacing the digital emoticons in the first information with the digital information to generate second information; and performing data statistics on the user based on the second information, so that the problem that the digital emoticon cannot be identified during digital statistics is solved, and the effects of adaptively identifying the digital emoticon and facilitating data statistics are achieved.
Drawings
Fig. 1 is a flowchart of a digital emoticon recognition conversion method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a digital emoticon according to a first embodiment of the invention.
Fig. 3 is a flowchart of a digital emoticon recognition conversion method according to a second embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a digital emoticon recognition and conversion apparatus according to a third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a server in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, the first information may be referred to as second information, and similarly, the second information may be referred to as first information, without departing from the scope of the present application. The first information and the second information are both information, but they are not the same information. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Example one
Fig. 1 is a flowchart of a digital emoticon identification conversion method according to an embodiment of the present invention, where the embodiment is applicable to a digital emoticon identification conversion situation, and the method specifically includes the following steps:
s110, extracting the digital emoticons in the first information input by the user;
in this embodiment, the emoticon is an emoji emoticon which can be input by both the current mobile terminal device and the advanced input method, and is generally used for vividly presenting and tracing nonverbal information in daily face-to-face communication. The digital emoticon is an emoticon containing numbers in an emoji emoticon, and for example, as shown in fig. 2, such characters are not in the range of the utf8 character set, which may cause the characters to report errors in database warehousing operations based on the utf8 character set. The server may extract the digital emoticon in the first information input by the user in real time in the information exchange process between the users, or may extract the first information input by the user in a specific mode, which is not limited herein.
S120, matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
in this embodiment, the preset emoticon code library is a preset correspondence relationship including the digital emoticon and the normal digital characters. The digital information is normal digital information. The server may match the digital emoticon extracted from the first information in step 110 with a preset emoticon code library to obtain a normal number corresponding to the digital emoticon.
S130, replacing the digital emoticons in the first information with the digital information to generate second information;
in this embodiment, when the number included in the digital emoticon is also within the category of some data statistics, the normal number matched in step 120 may be directly counted, or the matched digital information may be replaced with the digital emoticon in the first information, and when statistics is needed, the normal number may be directly extracted from the second information, so as to avoid the problem that the normal number cannot be identified.
And S140, performing data statistics on the user based on the second information.
In this embodiment, the numbers in the second information may be directly counted, or the second information may be preprocessed, the keywords in the second information are extracted, the corresponding statistical operations are matched according to the keywords, the numbers in the corresponding statistical ranges are statistically processed, and a specific calculation manner is not limited.
According to the technical scheme of the embodiment of the invention, the digital emoticons in the first information input by the user are extracted; matching the digital emoticons with corresponding digital information in a preset emoticon coding library; replacing the digital emoticons in the first information with the digital information to generate second information; and performing data statistics on the user based on the second information, so that the problem that the digital emoticon cannot be identified during digital statistics is solved, and the effects of adaptively identifying the digital emoticon and facilitating data statistics are achieved.
Example two
Fig. 3 is a flowchart of a digital emoticon identification conversion method according to a second embodiment of the present invention, which is further optimized based on the second embodiment, and specifically includes:
s210, extracting the digital emoticons in the first information input by the user;
in this embodiment, the server may extract the digital emoticon in the first information input by the user in real time in the information communication process between the users, or may extract the first information input by the user in a specific mode, which is not limited herein.
S220, matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
in this embodiment, the server may match the digital emoticon extracted from the first information in step 210 with a preset emoticon code library to obtain a normal digital number corresponding to the digital emoticon. Further, the method for generating the preset emoticon code library includes:
acquiring an emoticon reference table from a preset emoticon webpage;
in this embodiment, the preset emoticon web page is an official website for issuing emoji emoticons, and can collect the reference table of the latest version of emoji emoticons in the official website. The emoticon reference table is a table containing all emoticons.
Performing digital identification on the digital emoticons in the emoticon reference table to generate digital information corresponding to the digital emoticons;
and storing the corresponding relation between the digital emoticon and the digital information into the preset emoticon coding library.
In this embodiment, after the digital emoticons are selected from the reference list of the emoticons, the normal digital information associated with the digital emoticons one by one may be stored in the preset emoticon code library in a manual identification manner, or a digital portion of the digital emoticons may be cut out in an image identification manner and then matched with the digital template to obtain corresponding digital information, so as to associate the digital information and store the digital information in the preset emoticon code library. Further, the corresponding relationship between the digital emoticon and the digital information is a key-value pair relationship taking the digital emoticon as a main key and the digital information as a value.
In this embodiment, the key-value pairs are stored as an organization form of the database, the keys are numbers of stored values, and the values are data to be stored. And arranging all the digital emoticons into corresponding mapping coding key value pairs (key (digital emoticon) -value (normal number)), and configuring the digital emoticons into corresponding normal numbers. When the server collects the emoticons filled in by the user, the server can firstly judge whether the emoticons are digital emoticons, if the emoticons are digital emoticons, then preset keys of the corresponding emoticon coding library called in the emoticon coding library for comparison and identification, and when the digital emoticons input by the user are consistent with the keys (digital emoticons) of the coding library, corresponding configured values (normal characters) corresponding to the emoticons are output.
S230, replacing the digital emoticons in the first information with the digital information to generate second information;
in this embodiment, the digital information may be directly counted, or the matched digital information and the digital emoticon in the first information may be replaced, and then extracted and counted when the statistics is needed.
And S240, storing the second information in a Mysql database.
In this embodiment, since the first information carrying the digital emoticon is not in the range of the utf8 character set, storing the first information in the Mysql database may cause an error in the database entry operation of the utf8 character set, and the second information obtained by replacing the digital emoticon with the digital information may be directly stored.
S250, acquiring a data set from the Mysql database according to a statistical instruction of a user;
further, the acquiring of the data set from the Mysql database according to the statistical instruction of the user comprises converting the statistical instruction of the user into a corresponding SQ L statement;
in the embodiment, an SQ L statement is generated according to a statistical instruction and preset calculation logic, and further, the conversion into the corresponding SQ L statement according to the statistical instruction of a user comprises the steps of extracting a statistical object and a sampling interval according to the statistical instruction, and converting the statistical instruction into the SQ L statement according to the statistical object and the sampling interval.
In this embodiment, the server extracts the statistical object and the sampling interval from the statistical instruction, where the sampling interval may be an interval limited by the storage time or an interval limited by the digital related user, and is not limited here.
Carrying out semantic analysis on the SQ L sentence to extract a selection sentence which can be executed by a database;
in this embodiment, the database may execute some sentences, and may perform lexical, syntactic, semantic analysis and execution on the general add-delete modify-check SQ L sentences, while the unexpanded database may identify some SQ L sentences as incorrect SQ L sentences, and the server in this embodiment may perform semantic analysis on SQ L sentences to extract selected sentences executable by the database.
And executing the selection statement in the Mysql database to obtain a data set.
In this embodiment, the database may analyze and execute the selected sentence according to the lexical, syntactic and semantic meanings, and the selected sentence may be executed in the database as a general query sentence, and some existing optimization techniques and processing modules are used, for example, sorting operations in the original processed data may be saved through index scanning, and the use of computing resources may be greatly reduced due to the sorted data in the grouping operations.
And S260, counting the data set to obtain a statistical result.
In this embodiment, the server calculates the data set according to a preset calculation rule to obtain a statistical result. For example, the numbers related to the amount of consumption in the second information may be collected to form a set, and then the summing operation may be performed.
According to the technical scheme of the embodiment, the digital emoticons in the first information input by the user are extracted; matching the digital emoticons with corresponding digital information in a preset emoticon coding library; replacing the digital emoticons in the first information with the digital information to generate second information; storing the second information in a Mysql database; acquiring a data set from the Mysql database according to a statistical instruction of a user; and counting the data set to obtain a statistical result, solving the problem that the database of the digital emoticon in the utf8 character set is difficult to store in a warehouse, and achieving the effect of facilitating the calculation of the number based on the digital emoticon.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a digital emoticon recognition and conversion apparatus 300 according to a third embodiment of the present invention, which is applicable to a digital emoticon recognition and conversion situation, and has a specific structure as follows:
a digital emoticon extracting module 310, configured to extract a digital emoticon from first information input by a user;
the digital information matching module 320 is used for matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
a second information generating module 330, configured to replace the digital emoticons in the first information with the digital information to generate second information;
a data statistics module 340, configured to perform data statistics on the user based on the second information.
Further, the device 300 further comprises an emoticon reference list acquisition module, a digital information identification module and a corresponding relation storage module,
the expression symbol reference table acquisition module is used for acquiring an expression symbol reference table from a preset expression symbol webpage;
the digital information identification module is used for carrying out digital identification on the digital emoticons in the emoticon reference table so as to generate digital information corresponding to the digital emoticons;
the corresponding relation storage module is used for storing the corresponding relation between the digital emoticon and the digital information into the preset emoticon code library.
Further, the corresponding relationship between the digital emoticon and the digital information is a key-value pair relationship taking the digital emoticon as a main key and the digital information as a value.
Further, the apparatus 300 further includes a second information storage module, configured to store the second information in the Mysql database.
Further, the data statistics module 340 includes a data set acquisition sub-module and a statistics sub-module,
the data set acquisition submodule is used for acquiring a data set from the Mysql database according to a statistical instruction of a user;
and the statistic submodule is used for carrying out statistics on the data set to obtain a statistic result.
Further, the data set acquisition submodule comprises an SQ L statement conversion unit, a selection statement extraction unit and a data set generation unit,
the SQ L sentence converting unit is used for converting the statistical instructions of the user into corresponding SQ L sentences;
the selected sentence extraction unit is used for carrying out semantic analysis on the SQ L sentences to extract selected sentences which can be executed by a database;
and the data set generating unit is used for executing the selection statement in the Mysql database to obtain a data set.
Further, the SQ L statement conversion unit comprises a statistic limit subunit and an SQ L statement conversion subunit, wherein the statistic limit subunit is used for extracting a statistic object and a sampling interval according to the statistic instruction;
the SQ L statement conversion subunit is used for converting the statistical instruction into the SQ L statement according to the statistical object and the sampling interval.
The digital emoticon recognition and conversion apparatus 300 according to the embodiment of the present invention can perform the digital emoticon recognition and conversion method according to the foregoing embodiment, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 5 is a schematic structural diagram of a server according to a fourth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary server 412 suitable for use in implementing embodiments of the present invention. The server 412 shown in fig. 5 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in FIG. 5, server 412 is in the form of a general purpose server. Components of server 412 may include, but are not limited to: one or more processors 416, a storage device 428, and a bus 418 that couples the various system components including the storage device 428 and the processors 416.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in storage 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The server 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing terminal, display 424, etc.), one or more terminals that enable a user to interact with the server 412, and/or any terminal (e.g., Network card, modem, etc.) that enables the server 412 to communicate with one or more other computing terminals.A communication may be made via AN input/output (I/O) interface 422. also, the server 412 may communicate via a Network adapter 420 with one or more networks (e.g., local Area Network (L Area Network, L AN), Wide Area Network (WAN), and/or a public Network, such as the Internet). As shown in FIG. 5, the Network adapter 420 communicates via a bus 418 with other modules of the server 412. it should be appreciated that, although not shown, other hardware and/or software modules may be used in conjunction with the server 412, including, but not limited to, Redundant microcode, terminal drives, external disk drive Arrays, disk Arrays (Disks) and disk drives, disk Arrays, disk drives, disk storage systems, and the like.
The processor 416 executes various functional applications and data processing by running programs stored in the storage device 428, for example, implementing a digital emoticon recognition conversion method provided by any embodiment of the present invention, and the method may include:
extracting a digital emoticon in first information input by a user;
matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
replacing the digital emoticons in the first information with the digital information to generate second information;
and performing data statistics on the user based on the second information.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a digital emoticon recognition and conversion method according to any embodiment of the present invention, where the method may include:
extracting a digital emoticon in first information input by a user;
matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
replacing the digital emoticons in the first information with the digital information to generate second information;
and performing data statistics on the user based on the second information.
The computer-readable storage media of embodiments of the invention may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including AN object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A digital emoticon recognition conversion method is characterized by comprising the following steps:
extracting a digital emoticon in first information input by a user;
matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
replacing the digital emoticons in the first information with the digital information to generate second information;
and performing data statistics on the user based on the second information.
2. The method for recognizing and converting digital emoticons according to claim 1, wherein the method for generating the preset emoticon code library comprises:
acquiring an emoticon reference table from a preset emoticon webpage;
performing digital identification on the digital emoticons in the emoticon reference table to generate digital information corresponding to the digital emoticons;
and storing the corresponding relation between the digital emoticon and the digital information into the preset emoticon coding library.
3. The method of claim 2, wherein the correspondence between the digital emoticon and the digital information is a key-value-pair relationship using the digital emoticon as a primary key and the digital information as a value.
4. The method of claim 1, wherein after replacing the digital emoticon in the first message with the digital message to generate a second message, the method further comprises:
storing the second information in a Mysql database.
5. The method of claim 4, wherein performing statistics on the user based on the second information comprises:
acquiring a data set from the Mysql database according to a statistical instruction of a user;
and counting the data set to obtain a statistical result.
6. The method of claim 5, wherein the obtaining the data set from the Mysql database according to the statistical instruction of the user comprises:
converting into a corresponding SQ L statement according to the statistical instruction of the user;
carrying out semantic analysis on the SQ L sentence to extract a selection sentence which can be executed by a database;
and executing the selection statement in the Mysql database to obtain the data set.
7. The method as claimed in claim 6, wherein the converting into corresponding SQ L sentence according to the statistical instruction of the user comprises:
extracting a statistical object and a sampling interval according to the statistical instruction;
and converting the statistical instruction into the SQ L statement according to the statistical object and the sampling interval.
8. A digital emoticon recognition conversion apparatus, comprising:
the digital emoticon extracting module is used for extracting the digital emoticons in the first information input by the user;
the digital information matching module is used for matching the digital emoticons with corresponding digital information in a preset emoticon coding library;
the second information generation module is used for replacing the digital emoticons in the first information with the digital information to generate second information;
and the data statistics module is used for carrying out data statistics on the user based on the second information.
9. A server, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the digital emoticon recognition conversion method of any of claims 1-7.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the digital emoticon recognition conversion method of any one of claims 1 to 7.
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