CN110798567A

CN110798567A - Short message classification display method and device, storage medium and electronic equipment

Info

Publication number: CN110798567A
Application number: CN201910750876.0A
Authority: CN
Inventors: 宋亚非
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2019-08-14
Filing date: 2019-08-14
Publication date: 2020-02-14

Abstract

The disclosure provides a short message classified display method and device, electronic equipment and a storage medium; relates to the technical field of communication. The short message classified display method comprises the following steps: receiving a target short message; performing semantic analysis on the target short message to obtain an analysis result of the target short message; matching the analysis result of the target short message with the feature tags of the short message categories to determine the target short message category to which the target short message belongs; and extracting a plurality of fields in the target short message as information to be displayed based on the display mode of the target short message category, and displaying the information to be displayed. The short message display method and the short message display device can accurately classify the short messages and display the short messages in various modes according to the characteristics of the types of the short messages, so that a user can conveniently and quickly check the short messages, the reading efficiency is improved, and the time is saved.

Description

Short message classification display method and device, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a short message classification display method, a short message classification display apparatus, an electronic device, and a computer-readable storage medium.

Background

With the rapid development of the communication technology field, it is very common for users to send or receive messages by using terminals. However, with the abundance of information sources and the increase of information quantity, how to quickly screen and display information which is valuable to users has become an urgent need in the information bombing era.

Currently, the message received by the sms program mostly originates from the service provider or the unknown sender, and rarely originates from the private. However, the number of short messages from the service provider or the unknown sender is huge, wherein the number of short messages of similar types is large, and if a user reads the short messages one by one, the user needs to spend much effort, but if the short messages are ignored completely, the user is easy to miss key information.

In the related art, some short message classification solutions exist, and the solutions give priority to the interests of service providers, mainly help push parties to perform brand display and service reach, and have limited experience consideration for users.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure is directed to a short message classification display method, a short message classification display apparatus, an electronic device, and a computer-readable storage medium, so as to overcome the problem that short message classification and display are not favorable for user experience due to limitations and defects of related technologies to a certain extent.

According to a first aspect of the present disclosure, a method for displaying short messages in a classified manner is provided, which includes:

receiving a target short message;

performing semantic analysis on the target short message to obtain an analysis result of the target short message;

matching the analysis result of the target short message with the feature tags of each short message category to determine the target short message category to which the target short message belongs;

and extracting a plurality of fields in the target short message as information to be displayed based on the display mode of the target short message category, and displaying the information to be displayed.

In an exemplary embodiment of the present disclosure, the performing semantic analysis on the target short message to obtain an analysis result of the target short message includes:

and performing semantic analysis on the target short message to acquire one or more feature tags in the target short message.

In an exemplary embodiment of the present disclosure, each of the short message categories includes a verification code category, an express delivery information category, a financial information category, a special offer category, and a service notification category.

In an exemplary embodiment of the present disclosure, the display manner further includes:

and an extension function key or an extension function inlet is respectively arranged corresponding to at least one feature tag in each short message category.

In an exemplary embodiment of the present disclosure, the association information of the target short message is acquired, and the association information is accessed to the extended function entry.

In an exemplary embodiment of the present disclosure, the short message category further includes a harassment short message category:

and when the target short message category is a harassing short message category, the target short message is put into a short message recycle bin.

In an exemplary embodiment of the present disclosure, the short message classification display method further includes:

and determining each short message category based on artificial intelligence semantic analysis, short message big data analysis and artificial adjustment, wherein each short message category corresponds to one or more feature tags.

According to a second aspect of the present disclosure, there is provided a short message classification display apparatus, including:

the short message receiving module is used for receiving a target short message;

the semantic analysis module is used for performing semantic analysis on the target short message to acquire an analysis result of the target short message;

the category matching module is used for matching the analysis result of the target short message with the feature tags of the short message categories so as to determine the target short message category to which the target short message belongs;

and the classified display module is used for extracting a plurality of fields in the target short message as information to be displayed based on the display mode of the target short message category and displaying the information to be displayed.

In an exemplary embodiment of the present disclosure, the short message classification display apparatus further includes:

and the short message category determining module is used for determining each short message category based on artificial intelligence semantic analysis, short message big data analysis and artificial adjustment, and each short message category corresponds to one or more feature tags.

According to a third aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.

According to a fourth aspect of the present disclosure, there is provided an electronic device comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of any one of the above via execution of the executable instructions.

Exemplary embodiments of the present disclosure may have some or all of the following benefits:

in the short message classification display method provided by an exemplary embodiment of the present disclosure, a semantic analysis may be performed on a received short message based on a semantic understanding technology in an artificial intelligence technology, and a semantic analysis result is matched with a feature tag of each short message category, so as to determine a short message category to which the short message belongs, and key information is extracted according to a display mode of the short message category and displayed to a user. The short message display method and the short message display device can accurately classify the short messages and display the short messages in various modes according to the characteristics of the types of the short messages, so that a user can conveniently and quickly check the short messages, the reading efficiency is improved, and the time is saved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

Fig. 1 is a schematic diagram illustrating an exemplary system architecture of a short message classification display method and apparatus to which the embodiments of the present disclosure may be applied;

FIG. 2 illustrates a schematic structural diagram of a computer system suitable for use with the electronic device used to implement embodiments of the present disclosure;

fig. 3 schematically shows a flow chart of a short message classification display method according to an embodiment of the present disclosure;

FIG. 4 is a flow chart of a short message classification display according to an embodiment of the present disclosure;

FIG. 5 is a flow chart of short message classification display of an authenticator class according to an embodiment of the present disclosure;

fig. 6 and 7 schematically illustrate a short message of the authentication code class shown in the client according to an embodiment of the disclosure;

fig. 8 schematically shows a flow chart of classified display of short messages of express delivery information category according to an embodiment of the present disclosure;

fig. 9 and 10 schematically show a schematic diagram of displaying an express delivery information short message on a client according to an embodiment of the disclosure;

FIG. 11 is a flow diagram illustrating classification of financial information based short messages according to an embodiment of the present disclosure;

fig. 12 and 13 are schematic diagrams illustrating a short message of financial information class displayed on a client according to an embodiment of the disclosure;

FIG. 14 is a flow chart illustrating a preferential special interest class SMS classification display according to an embodiment of the present disclosure;

fig. 15 and 16 are schematic diagrams illustrating that a special offer short message is shown on a client according to an embodiment of the disclosure;

FIG. 17 is a flow diagram that schematically illustrates a traffic notification class SMS classification display, in accordance with an embodiment of the present disclosure;

fig. 18 is a schematic diagram illustrating a service notification-type short message being shown to a client according to an embodiment of the disclosure;

fig. 19 is a schematic diagram schematically illustrating a source of a short message classification policy in the short message classification display method/apparatus according to an embodiment of the present disclosure;

fig. 20 is a block diagram schematically illustrating a short message classification display apparatus according to an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

Fig. 1 is a schematic diagram illustrating a system architecture of an exemplary application environment to which a short message classification display method and apparatus according to an embodiment of the present disclosure may be applied.

As shown in fig. 1, the system architecture 100 may include one or more of

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. The

terminal devices

101, 102, 103 may be various electronic devices having a display screen, including but not limited to desktop computers, portable computers, smart phones, tablet computers, and the like. It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, server 105 may be a server cluster comprised of multiple servers, or the like.

The method for displaying classified short messages provided by the embodiment of the present disclosure is generally executed by the server 105, and accordingly, the device for displaying classified short messages is generally disposed in the server 105. However, it is easily understood by those skilled in the art that the short message classification display method provided in the embodiment of the present disclosure may also be executed by the

terminal devices

101, 102, and 103, and accordingly, the short message classification display apparatus may also be disposed in the

terminal devices

101, 102, and 103, which is not particularly limited in this exemplary embodiment. For example, in an exemplary embodiment, a user uploads an image to be fused to the server 105 through the

terminal devices

101, 102, and 103, and the server fuses a face in the image to be fused to the template image to obtain a target image through the short message classification display method provided by the embodiment of the present disclosure, and transmits the target image to the

terminal devices

101, 102, and 103, and the like.

FIG. 2 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present disclosure.

It should be noted that the computer system 200 of the electronic device shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiments of the present disclosure.

As shown in fig. 2, the computer system 200 includes a Central Processing Unit (CPU)201 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)202 or a program loaded from a storage section 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data necessary for system operation are also stored. The CPU201, ROM 202, and RAM 203 are connected to each other via a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.

The following components are connected to the I/O interface 205: an input portion 206 including a keyboard, a mouse, and the like; an output section 207 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 208 including a hard disk and the like; and a communication section 209 including a network interface card such as a LAN card, a modem, or the like. The communication section 209 performs communication processing via a network such as the internet. A drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 210 as necessary, so that a computer program read out therefrom is mounted into the storage section 208 as necessary.

In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 209 and/or installed from the removable medium 211. The computer program, when executed by a Central Processing Unit (CPU)201, performs various functions defined in the methods and apparatus of the present application. In some embodiments, the computer system 200 may further include an AI (artificial intelligence) processor for processing computing operations related to machine learning.

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

The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

Among them, Natural Language Processing (NLP) is an important direction in the fields of computer science and artificial intelligence. It studies various theories and methods that enable efficient communication between humans and computers using natural language. Natural language processing is a science integrating linguistics, computer science and mathematics. Therefore, the research in this field will involve natural language, i.e. the language that people use everyday, so it is closely related to the research of linguistics. Natural language processing techniques typically include text processing, semantic understanding, machine translation, robotic question and answer, knowledge mapping, and the like.

Therefore, the short message classification display method and the short message classification display device provided by the disclosure can perform semantic analysis on the received short messages based on a semantic understanding technology in an artificial intelligence technology, so as to perform type division on the short messages.

The technical solution of the embodiment of the present disclosure is explained in detail below:

the embodiment of the example provides a short message classified display method. The short message classification display method may be applied to the server 105, and may also be applied to one or more of the

terminal devices

101, 102, and 103, which is not particularly limited in this exemplary embodiment. Referring to fig. 3, the method for displaying classified short messages may include the following steps S310 to S340:

s310, receiving a target short message;

s320, performing semantic analysis on the target short message to obtain an analysis result of the target short message;

s330, matching the analysis result of the target short message with the feature tags of each short message category to determine the target short message category to which the target short message belongs;

step S340, extracting a plurality of fields in the target short message as information to be displayed based on the display mode of the target short message category, and displaying the information to be displayed.

The short message classification display method and the short message classification display device can perform semantic analysis on the received short messages based on a semantic understanding technology in an artificial intelligence technology, match the semantic analysis result with the feature tags of each short message category, determine the short message category to which the short message belongs, extract key information according to the display mode of the short message category, and display the key information to a user. The short message display method and the short message display device can accurately classify the short messages and display the short messages in various modes according to the characteristics of the types of the short messages, so that a user can conveniently and quickly check the short messages, the reading efficiency is improved, and the time is saved.

FIG. 4 is a diagram schematically illustrating the effect of various steps of processing a cartoon image according to the short message classification display method in one embodiment of the present disclosure; fig. 5-18 schematically show a flowchart of classified display of a verification code type short message, an express information type short message, a financial information type short message, a special offer type short message, and a service notification type short message, respectively, and a schematic diagram of displaying various types of short messages on a client according to an embodiment of the present disclosure.

The above steps of the present exemplary embodiment are explained in more detail below with reference to fig. 4 to 18.

In step S310, a target short message is received.

In this exemplary embodiment, the method may first determine whether the target short message belongs to a service provider short message or a private short message. If the target short message is judged to belong to the private short message, the short message can be directly displayed on a private short message display page of the client without entering the flow of semantic analysis and short message classification, so that a user can quickly view the private short message and can not miss important information.

The private short messages can include short messages from friends in the address list, short messages from contacts who have a call or a short message connection with the mobile phone number bound by the client, and short messages of contacts classified into the private short messages by user definition.

Specifically, the method may first provide a private short signal code library, where the mobile phone number sources in the private short signal code library may include friends in the address list, contacts that have communicated or contacted with the mobile phone number bound to the client, and mobile phone numbers that are self-defined by the user and are included in the private short signal code library. Furthermore, all short messages sent by mobile phone numbers in the private short signal code library can be set to be used as private short messages and displayed on a private short message display page of the client, so that a user can quickly check the private short messages and important information cannot be missed.

Then, in this exemplary embodiment, referring to fig. 4, in step S410, a target short message is received first; in step S420, matching the source number of the target short message with a private short signal code library; in step S430, determining whether the target short message is a private short message, that is, matching the source number of the target short message with a number in a private short signal code library, if the matching is successful, determining that the target short message is the private short message, and entering step S431 to directly display the target short message; if the matching fails, the target short message is not a private short message; the process advances to step S440.

In step S320, semantic analysis is performed on the target short message to obtain an analysis result of the target short message.

In this exemplary embodiment, after determining that the target short message is not a private short message, the processing of the target short message enters a classification process. In the classification process, firstly, the received short messages can be subjected to semantic analysis based on the artificial intelligence semantic understanding technology, so that the types of the short messages can be classified subsequently.

In detail, referring to step S440 in fig. 4, in this example embodiment, the target short message may be subjected to semantic analysis to obtain one or more feature tags in the target short message. For example, the feature tag of the verification code type short message may include "verification code", "123456 (verification code number)", etc.; the feature labels of the express delivery information short messages can include 'certain express delivery', 'package', '123456789 (express delivery order number)' and the like; the feature labels of the financial information short messages can comprise 'a certain bank', 'a certain store', 'a certain flagship store', 'card swiping', 'consumption', 'salary', 'income', '12.00 yuan (consumption amount)' and the like.

The semantic analysis may be based on a semantic understanding technology in an artificial intelligence technology, and performs semantic analysis on the received short message to obtain a feature tag of the short message.

In step S330, the analysis result of the target short message is matched with the feature tags of each short message category to determine the target short message category to which the target short message belongs.

In this example embodiment, in order to classify the received short messages, the cloud server may update the short message classification policy in real time, and issue the real-time updated short message classification policy to each terminal, so that the terminals can receive and perform matching.

In detail, the short message classification policy includes each short message category and a feature tag corresponding to each short message category. Referring to fig. 19, the text message classification strategy 1920 can be derived from artificial intelligence semantic analysis 1931, text message big data analysis 1932 and manual adjustment determinations 1933 and 1934.

The artificial intelligence semantic analysis 1931 can understand the natural semantics of the short message through machine learning of the content of the short message, so as to determine the feature tag of the short message and update the category of the short message through different tags.

The short message big data analysis 1932 can analyze the service provider corresponding to the short message number and the service range of the service provider through mass short message data, so as to update the short message category based on the property of the service provider. In addition, in some embodiments, some short message types that cannot be classified through the aforementioned artificial intelligence semantic analysis and short message big data analysis may be further included, so that classification may be performed through manual adjustment.

Manual adjustment may include two ways, manual entry 1933 and user feedback 1934. The manual entry is to determine and update the short message types through manual investigation so as to more comprehensively cover more short message types. The user feedback is that the user feeds back the short message which is not matched with the classification strategy through a feedback channel of the application terminal, or the user directly submits the suggested short message type, and the background manually determines the short message type of the fed back short message or screens and adopts the suggested short message type. Further, the determined added or changed short message categories are uploaded to a cloud server, so that the short message classification strategy is updated.

Therefore, the short message classification strategy can be perfected through various strategy sources, so that more accurate short message classification is provided, and the short message classification strategy is convenient for users to use.

Further, according to the above short message classification policy, referring to steps S461 to S465 in fig. 4, etc., each short message category in this exemplary embodiment may include a verification code category, an express delivery information category, a financial information category, a special offer category, and a service notification category. Wherein:

the feature tag of the short message of the verification code class may include but is not limited to: express facilitator feature tags, such as "facilitator"; the feature label of the verification code, such as "verification code", "123456", etc.

The feature tag of the express delivery information short message may include, but is not limited to: express service provider feature label "a certain express; characteristic labels of express delivery such as 'package' and 'express delivery'; the characteristic label of the courier note number "123456789".

The feature tags of the financial information short messages may include, but are not limited to: the characteristic label of the financial facilitator "certain bank"; the characteristic label of a merchant is 'a certain mall' and 'a certain flagship store'; the characteristic labels of income expenditure are 'card swiping', 'consumption', 'payroll' and 'income'; a feature tag of the balance data of "100.00 yuan", etc.

The feature tag of the special offer short message may include, but is not limited to: the characteristic label of a merchant is 'a certain mall' and 'a certain flagship store'; trade name and model characteristic label 'a certain model mobile phone/computer'; the characteristic labels of the price information are 'original price', 'special price', 'activity price' and the like.

The feature tag of the service notification short message may include, but is not limited to: the characteristic label of the service provider or part of the unit is ' a certain website ' XX music '; feature labels of business names "a certain business", "VIP member"; the feature labels of business transaction are 'open', 'due', 'transaction' and the like.

In addition, referring to step S467 in fig. 4, the short message types may be accurately classified according to the continuously updated classification policy to generate other short message types. For example, the type of the short message may further include an invitation class, such as invitation information, hotel meal ordering information, and the feature tags of the invitation class may include "wedding", "month full wine", "date", "XX hotel", "address", and the like.

In this step, the analysis result of the semantic analysis of the target short message may be matched with the feature tags of each short message category to determine the target short message category to which the target short message belongs. The feature labels of the target short messages obtained by performing semantic analysis on the target short messages are matched with the feature labels of each short message category in the classification strategy, and when the highest matching degree between the target short messages and one of the short message categories is found or the matching degree exceeds a certain threshold value, the target short messages can be determined to belong to the short message category.

For example: the content of the target short message received by the terminal is ' the national intellectual property office ' your verification code is 1234, the valid time of the verification code is 30 minutes, and the verification code is not required to be informed to other people and the application is confirmed to be operated by the user '! "then, through semantic analysis of the short message, a plurality of feature labels obtained are: "national intellectual property office", "verification code", "1234" and the like. And matching the analysis result with the feature tags of the short message categories in the classification strategy, and determining that the short message belongs to the short message of the verification code category if the matching degree with the short message of the verification code category is the highest.

For another example: the terminal receives the target short message, wherein the content of the target short message is that the XX express reaches the east express supermarket of the XX cell by 1-1-1234, the business hour is 09:00-20:00 earlier, and the terminal contacts the telephone: 12344556677. "then, through semantic analysis of the short message, the obtained multiple labels are: "express," "reach," "1-1-1234 (pick-up code)," etc. And matching the analysis result with the feature tags of the short message categories in the classification strategy, finding that the matching degree with the express short message is the highest, and determining that the short message belongs to the express short message.

In addition, according to the above short message classification policy, referring to step S466 in fig. 4, the short message category in this example embodiment may further include a nuisance short message category. The harassment short message can include advertising promotion, house property intermediary, suspected fraud, insurance, and the like.

In the embodiment of the present invention, when determining the harassment short message classification policy from the classification policy sources, it is considered that the harassment short messages are rich in types, large in content span range, and more in cross with other types of short messages. Therefore, the conditions of poor customer experience and the like caused by the fact that harassing short messages are not classified into other types or important short messages are classified into harassing short messages are avoided. The exemplary embodiment can focus on the analysis of the big short message data, that is, a sender corresponding to the short message code of the harassing short message and the service range of the short message sent by the sender can be analyzed based on massive short message data, so that when the harassing short message is determined, the number is classified into the number library of the harassing short message. In this exemplary embodiment, after receiving the target short message and performing semantic analysis on the short message, when the target short message is determined to be a suspected harassment short message, the short message source number of the target short message is preferentially extracted to match with the number in the harassment short signal code library, so as to determine whether the short message source number belongs to the harassment short message, thereby improving matching efficiency.

In addition, the dividing strategy of the harassing messages can be determined through manual adjustment, namely, through manual entry and user feedback, when suspected harassing messages are found in the background, whether the messages are harassing messages or not is determined through a manual confirmation mode, and after the messages are determined to be harassing messages, the short message codes of the received messages are classified into a number library of the harassing messages.

Further, when the target short message category is determined to be a harassing short message category, referring to step S476 in fig. 4, the target short message is directly placed in the short message recycle bin without being placed in a classified display page for display, so as to avoid affecting the user.

In step S340, based on the display mode of the target short message category, extracting a plurality of fields in the target short message as information to be displayed, and displaying the information to be displayed.

The display mode can be different corresponding to different types of short messages. Referring to steps S471-S475, S477 in fig. 4, the displaying manner may include displaying the name of the service provider in the short message and the important information (the verification code, the mobile phone number, the number of the delivery slip, the time, the location, etc.) in the short message.

In addition, some types of short messages may also include information that the user may need to further query, such as querying a courier order number; information may also be included that the user may need further action, such as copying the authentication code. Therefore, an extension function key or an extension function entry can be respectively arranged corresponding to at least one feature tag in each short message category, so that a user can use the information quickly or obtain the extension information of the information, and the operation of the user is further facilitated.

The extended function entry may be configured to access the association information to the extended function entry when the target short message has the association information. For example, when the category of the target short message is an express delivery information category, the historical logistics state of the express delivery can be queried according to the express delivery information in the target short message, and the historical logistics state of the express delivery is accessed to the extended function entry. For another example, when the target short message is a financial information type, the balance data in all the short messages within the preset time range can be extracted to generate a bill, and the bill is accessed to the extended function entry.

Next, referring to fig. 4 to fig. 18, the types of the short messages and the display modes of the types of the short messages are described in detail with reference to the specific embodiments. For convenience of description, the following descriptions omit the processes of analyzing and matching the short message, such as steps S420 to S450 in fig. 4 (in the practical embodiment, steps S420 to S450 are included):

as shown in fig. 5 and 6, step S510, step S561 of receiving the short message … …, determine that the short message type is the verification code type; step S571, extracting the name of the service provider and the verification code in the short message as the information to be displayed; and step S581, displaying the name of the service provider and the verification code on a display page of the verification code center, and setting a copy function key corresponding to the verification code. In addition, as shown in fig. 7, it may be set that the latest piece of verification code information stays in the notification center for the user to view, copy, paste, and the like.

As shown in fig. 8-10, step S810, receiving a short message … …, and step S861, determining that the short message category is an express delivery information category; step S871, extracting the name of the service provider and the number of the express bill in the short message as information to be displayed; step S881, inquiring the logistics state of the express bill number from the express server; step S891, displaying a service provider name, an express bill number and an inquired logistics state of the express on a display page of the express information class, and providing a 'view details' entry on the display page; after clicking the "view details" key, as shown in fig. 10, the user can view the historical logistics state of the express delivery, so that the user can track the express delivery dynamics.

As shown in fig. 11-13, step S1110, step S1161 of receiving the short message … …, determining that the short message category is the financial information category; step S1171, extracting the name of the service provider and the receipt and payment data in the short message as information to be displayed; step S1181, making monthly/annual bills according to the balance data; step S1191, show the balance data and the name of the service provider on the bill display page, and provide a monthly bill entry; after clicking the "monthly bill" key, the user can view the monthly bill of the user, as shown in fig. 13, wherein the monthly bill may include a statistical chart or the like containing each consumption type.

As shown in fig. 14-16, step S1410, step S1461 of receiving the short message … …, determine that the short message category is the special offer category; step S1471, extracting the name of the service provider and special sale information (in the link) in the short message as information to be displayed; step S1481, when the short message contains the commodity link, a link entrance is arranged, commodity preference information is inquired through the link in the short message, and false preference information is analyzed and removed according to big data; step S1491, displaying the name of the service provider and special selling information of the commodity on a special selling preferential display page, and providing a commodity link entrance; as shown in fig. 15 and 16, the page shows the shopping coupon information of the mall A, XX and the "go to buy" entrance; after the user clicks the "go to buy" key, the item details may be viewed as shown in FIG. 16.

As shown in fig. 17 and 18, step S1710, receiving a short message … …, and step S1761, determining that the short message type is a service notification type; step S1771, extracting the name of the service provider and the service opening result in the short message as information to be displayed; step S1781, in the service notification page, show the name of the service provider and the service opening result, and may have a read key corresponding to the service notification content; such as the "know" key in fig. 18.

Fig. 20 schematically shows a block diagram of the short message classification display apparatus 2000 according to an embodiment of the present disclosure.

Further, in the present exemplary embodiment, a short message classification display apparatus 2000 is also provided. The short message classification display device 2000 can be applied to a server or a terminal device. Referring to fig. 20, the short message classification display device 2000 may include a short message receiving module 2010, a semantic analysis module 2020, a category matching module 2030 and a classification display module 2040. Wherein:

a short message receiving module 2010 for receiving a target short message;

the semantic analysis module 2020 is configured to perform semantic analysis on the target short message to obtain an analysis result of the target short message;

the category matching module 2030 is configured to match the analysis result of the target short message with the feature tags of each short message category to determine a target short message category to which the target short message belongs;

the classification display module 2040 is configured to extract a plurality of fields in the target short message as information to be displayed based on the display mode of the category of the target short message, and display the information to be displayed.

a short message category determining module 2050, configured to determine each short message category based on artificial intelligence semantic analysis, short message big data analysis, and manual adjustment, where each short message category corresponds to one or more feature tags.

The details of each module or unit in the short message classification display apparatus 2000 are described in detail in the corresponding short message classification display method, and therefore are not described herein again.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media or any combination of the two. 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 of the computer readable storage medium may include, but are not limited to: 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 present disclosure, 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. In contrast, in the present disclosure, 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments below. For example, the electronic device may implement the steps shown in fig. 3 to 20, and the like.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A short message classified display method is characterized by comprising the following steps:

receiving a target short message;

2. The short message classification display method according to claim 1, wherein the semantic analysis of the target short message to obtain the analysis result of the target short message comprises:

3. The method of claim 2, wherein each of the short message categories includes a verification code category, an express delivery information category, a financial information category, a special offer category, and a service notification category.

4. The short message classification display method according to claim 3, wherein the display mode further comprises:

5. The short message classification display method according to claim 4, wherein the associated information of the target short message is obtained and accessed to the extended function entry.

6. The short message classification display method according to claim 3, wherein the short message classification further comprises a harassing short message classification:

7. The short message classification display method according to any one of claims 1-6, wherein the short message classification display method further comprises:

8. A short message classification display device is characterized by comprising:

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 7.

10. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of any of claims 1-7 via execution of the executable instructions.