CN113449196A

CN113449196A - Information generation method and device, electronic equipment and readable storage medium

Info

Publication number: CN113449196A
Application number: CN202110804768.4A
Authority: CN
Inventors: 揭勇俊
Original assignee: Sky Eye Technology Co ltd
Current assignee: Beijing Jindi Technology Co Ltd
Priority date: 2021-07-16
Filing date: 2021-07-16
Publication date: 2021-09-28
Anticipated expiration: 2041-07-16
Also published as: CN113449196B

Abstract

Embodiments of the present disclosure provide an information generation method and apparatus, a computer-readable storage medium, an electronic device, and a computer program. The method comprises the following steps: acquiring change data; determining whether the changed data meets a preset condition; if the preset conditions are met, determining the data type of the changed data; and generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type. The technical scheme of the disclosure realizes the automatic extraction of the change data of the preset type entity in real time and the automatic generation of the change description information, thereby reducing the consumption of manpower when the change data is collected and improving the efficiency of public opinion monitoring on the preset type entity.

Description

Information generation method and device, electronic equipment and readable storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to an information generating method and apparatus, an electronic device, a computer-readable storage medium, and a computer program.

Background

With the continuous development of internet technology, more and more information is available on the internet, and the information can be used for providing data sources for public opinion monitoring. For example, in order to effectively monitor public sentiment about entities such as businesses, individuals, and the like in real time, relevant information may be acquired from sites such as a business website, a personal homepage, and the like. In the existing public opinion monitoring method, when public opinion data changes, various data (such as industrial and commercial data) related to an entity are extracted manually, pictures in a website are intercepted, and information is pushed after the pictures are spliced into corresponding texts. The part of the work is trivial, tedious and repeated, and causes a large amount of manpower consumption, high cost and low efficiency.

Disclosure of Invention

An object of the present disclosure is to provide an information generating method and apparatus, an electronic device, a computer-readable storage medium, and a computer program, so as to solve the technical problems described in the above background art at least to some extent.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to a first aspect of the present disclosure, there is provided an information generating method including: acquiring change data; determining whether the changed data meets a preset condition; if the preset conditions are met, determining the data type of the changed data; and generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

In an exemplary embodiment of the disclosure, after generating change description information corresponding to the change data, the method further includes: and generating push information for pushing to the target user side based on the change description information.

In an exemplary embodiment of the present disclosure, determining whether the variation data meets a preset condition includes: determining whether a preset type entity corresponding to the changed data is a target entity; determining a data change time based on the change data; determining whether the time period between the data change time and the target time is less than or equal to a preset time length or not; and if the preset type entity corresponding to the changed data is determined to be the target entity and/or the time period is less than or equal to the preset time length, determining that the changed data meets the preset condition.

In an exemplary embodiment of the present disclosure, determining a data change time based on change data includes: the occurrence time of an event represented by the change data is determined as a data change time based on the change data.

In an exemplary embodiment of the present disclosure, the change description template includes a title template and a description content template, and the change description information includes title information and description content information; generating change description information corresponding to change data based on a change description template which is established in advance and corresponds to a data type, wherein the change description information comprises the following steps: extracting title filling data from the changed data, and generating title information corresponding to the changed data based on the title template and the title filling data; and extracting the description content filling data from the change data, and generating description content information corresponding to the change data based on the description content template and the description content filling data.

In an exemplary embodiment of the present disclosure, generating push information for pushing to a target user side based on change description information includes: extracting detailed information screenshots of preset type entities corresponding to the variable data; recognizing preset category information in the detail information screenshot to obtain a recognition result; extracting a target area image corresponding to the data type from the detail information screenshot based on the recognition result; and generating push information for pushing to the target user side based on the change description information and the target area image.

In an exemplary embodiment of the present disclosure, generating push information for pushing to a target user side based on the change description information and the target area image includes: acquiring a marker map of a preset type entity corresponding to the change data; and generating push information for pushing to the target user side based on the change description information, the target area image and the identification graph.

In an exemplary embodiment of the present disclosure, the preset category information is a text; the preset category information in the detail information screenshot is identified to obtain an identification result, and the method comprises the following steps: recognizing characters in the detailed information screenshot, and matching the obtained characters with the data type to obtain keywords representing the data type; based on the recognition result, extracting a target area image corresponding to the data type from the detail information screenshot, wherein the target area image comprises the following steps: and extracting a target area image corresponding to the data type from the detail information screenshot based on the coordinates of the keywords in the detail information screenshot.

In an exemplary embodiment of the present disclosure, generating change description information corresponding to change data based on a pre-established change description template corresponding to a data type includes: in response to determining that the data type is a target data type with numerical characteristics, determining numerical variation information representing a numerical variation situation based on the variation data; based on the numerical variation information, variation description information corresponding to the variation data is generated.

According to a second aspect of the present disclosure, there is provided an information generating apparatus including: the acquisition module is used for acquiring the change data from a data table for storing the related data of the preset type entity; the condition judgment module is used for determining whether the changed data meets a preset condition; the type judging module is used for determining the data type of the changed data if the preset conditions are met; and the change description information generation module is used for generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

In an exemplary embodiment of the present disclosure, the apparatus further includes: and the push information generation module is used for generating push information for pushing to the target user side based on the change description information.

In an exemplary embodiment of the present disclosure, the condition determining module includes: the first determining unit is used for determining whether a preset type entity corresponding to the change data is a target entity; a second determination unit configured to determine a data change time based on the change data, and determine whether a time period during which the data change time and the target time have elapsed is less than or equal to a preset time period; and the third determining unit is used for determining that the changed data meets the preset condition if the preset type entity corresponding to the changed data is determined to be the target entity and/or the time period is less than or equal to the preset time length.

In an exemplary embodiment of the present disclosure, the second determination unit is further configured to: the occurrence time of an event represented by the change data is determined as a data change time based on the change data.

In an exemplary embodiment of the present disclosure, the change description template includes a title template and a description content template, and the change description information includes title information and description content information; the change description information generation module includes: a first generating unit, configured to extract header filling data from the changed data, and generate header information corresponding to the changed data based on the header template and the header filling data; and the second generating unit is used for extracting the description content filling data from the change data and generating the description content information corresponding to the change data based on the description content template and the description content filling data.

In an exemplary embodiment of the present disclosure, the push information generating module includes: the first extraction unit is used for extracting detailed information screenshots of preset type entities corresponding to the variable data; the identification unit is used for identifying preset category information in the detail information screenshot to obtain an identification result; the second extraction unit is used for extracting a target area image corresponding to the data type from the detail information screenshot based on the recognition result; and a third generating unit, configured to generate, based on the change description information and the target area image, push information for pushing to the target user side.

In an exemplary embodiment of the present disclosure, the third generating unit includes: the acquiring subunit is used for acquiring a marking map of a preset type entity corresponding to the change data; and the generation subunit is used for generating push information for pushing to the target user terminal based on the change description information, the target area image and the identification map.

In an exemplary embodiment of the present disclosure, the preset category information is a text; the identification unit is further configured to: recognizing characters in the detailed information screenshot, and matching the obtained characters with the data type to obtain keywords representing the data type; the second extraction unit is further configured to: and extracting a target area image corresponding to the data type from the detail information screenshot based on the coordinates of the keywords in the detail information screenshot.

In an exemplary embodiment of the present disclosure, the change description information generating module includes: a fourth determination unit, configured to determine, based on the change data, numerical value change information representing a numerical value change situation in response to determining that the data type is a target data type having a numerical characteristic; and a fourth generating unit configured to generate change description information corresponding to the change data based on the numerical change information.

According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to perform the above-described information generation method via execution of executable instructions.

According to a fourth aspect of the present disclosure, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the information generating method described above.

According to a fifth aspect of the present disclosure, there is provided a computer program comprising computer readable code which, when run on an apparatus, a processor in the apparatus executes instructions for implementing the steps in the above-described information generation method.

As can be seen from the foregoing technical solutions, the information generating method and apparatus, the computer-readable storage medium, the electronic device, and the computer program in the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:

according to the information generation method and device, the electronic equipment, the computer readable storage medium and the computer program in the embodiment of the disclosure, by acquiring the change data, determining the data type of the change data under the condition that the change data meets the preset condition, and then generating the change description information corresponding to the change data based on the pre-established change description template corresponding to the data type, the change data of the preset type entity is automatically extracted in real time, and the change description information is automatically generated, so that the consumption of manpower during collection of the change data can be reduced, and the efficiency of public opinion monitoring on the preset type entity is improved.

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

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. 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 system diagram to which the present disclosure is applicable;

FIG. 2 is a flowchart illustrating an information generating method according to an exemplary embodiment of the disclosure;

fig. 3 is a flowchart illustrating an information generating method according to another exemplary embodiment of the present disclosure;

FIG. 4 is an exemplary diagram of push information corresponding to a piece of change data of the information generating method provided by the present disclosure;

fig. 5 is a flowchart illustrating an information generating method according to another exemplary embodiment of the present disclosure;

FIG. 6 is an exemplary schematic diagram of a truncated target area image of an information generation method provided by the present disclosure

Fig. 7 is a schematic structural diagram of an information generating apparatus according to an exemplary embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of an information generating apparatus according to another exemplary embodiment of the present disclosure;

fig. 9 is a block diagram of an electronic device provided in an exemplary 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 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.

Furthermore, 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, apparatus, steps, etc. In other instances, well-known structures, methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.

Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and 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 disclosure, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. The symbol "/" generally indicates that the former and latter associated objects are in an "or" relationship.

In the present disclosure, unless otherwise expressly specified or limited, the terms "connected" and the like are to be construed broadly, e.g., as meaning electrically connected or in communication with each other; may be directly connected or indirectly connected through an intermediate. The specific meaning of the above terms in the present disclosure can be understood by those of ordinary skill in the art as appropriate.

Exemplary System

Fig. 1 shows a schematic diagram of a system architecture 100 to which an information generation method or an information generation apparatus of 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, among others.

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 user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as a search-type application, a web browser application, a shopping-type application, an instant messaging tool, and the like.

The

terminal devices

101, 102, 103 may be a variety of electronic devices including, but not limited to, smart phones, tablets, portable and desktop computers, digital cinema projectors, and the like.

The server 105 may be a server that provides various services. For example, the user sends a request for viewing the change description information of the entity of the preset type to the server 105 by using the terminal device 103 (or the terminal device 101 or 102). The background text server may generate push information including change description information in response to the request.

Exemplary method

Referring to fig. 2, a flowchart of an information generating method provided in an exemplary embodiment of the present disclosure is a flowchart, where the present embodiment is applicable to an electronic device (such as the

terminal devices

101, 102, 103 or the server 105 shown in fig. 1), and the method includes the following steps:

and S210, acquiring the change data.

And S220, determining whether the changed data meets a preset condition.

And S230, if the preset conditions are met, determining the data type of the changed data.

And S240, generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

According to the information generation method provided by the embodiment of the disclosure, by acquiring the change data, determining the data type of the change data under the condition that the change data meets the preset condition, and then generating the change description information corresponding to the change data based on the pre-established change description template corresponding to the data type, the change data of the preset type entity is automatically extracted in real time, and the change description information is automatically generated, so that the consumption of manpower during the collection of the change data can be reduced, and the efficiency of public opinion monitoring on the preset type entity is improved.

In S210, the electronic device may acquire change data.

Generally, the electronic device may obtain the variation data from a data table for storing related data of entities of a preset type. The preset type entity may be any type of entity, such as an enterprise, an individual, and the like. The related data of the preset type entity may include various types of data related to the preset type entity, including but not limited to at least one of the following: company standing time, legal representatives, type and time of administrative penalties, patent application information, and the like. The data table for storing the related data of the preset type entity can be arranged locally or remotely. For example in a server at a site dedicated to collecting data relating to entities of a preset type.

The variation data may be data that varies within a target time period. The duration of the target time period may be fixed (e.g., the last 30 days) or may vary, such as the time period from the first generation of the relevant data to the current time. As an example, if the registered capital of a company changes within a target time period, the changed amount of the registered capital is the change data.

In S220, the electronic device may determine whether the variation data meets a preset condition.

The preset condition is a condition set for screening relevant information of preset type entities in a certain range. The preset condition may include various limit conditions. For example, the earliest generation time of the fluctuation data may be set as the preset condition.

In S230, if the preset condition is met, the electronic device may determine the data type of the variation data.

The data type of the change data may include various types. For example, the data types include at least one of: company establishment related data, legal representative changes, restricted consumption order related data, administrative penalty related data, trademark application related data, patent application related data, registered capital related data, and the like.

In S240, the electronic device may generate change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

The change description template is pre-established and is used for integrating change data into the change description template to generate change description information. For example, when the data type of the fluctuation data is the registered capital, the corresponding fluctuation description template is "the business change occurs to the related company xx company of xx (brand name), and the registered capital is changed from xxx to xxx, with the increment of xxx%". Typically, the change data includes the data marked as x in the change description template, and the corresponding data, such as the brand name and the number of registered capital changes of the company name in the template, can be directly filled in. The template may also include data that needs to be calculated, such as the registered capital increases in the template described above.

In some optional implementations, after S240, the electronic device may further generate push information for pushing to the target user terminal based on the change description information.

The target user end may be an end device (e.g., at least one of the

end devices

101, 102, and 103 shown in fig. 1) that requests to view change data of a certain preset type of entity. The push information may be information for characterizing a change of the entity of the preset type. Generally, the push information may include the change description information, and may also include other information, such as an identification image of a preset type entity, a screenshot of a changed data source, and the like.

By generating the pushing information which is pushed to the target user side and represents the data change situation, the user can obtain the situation of the changed data in time, and therefore public opinion monitoring can be conducted on the preset type entity more efficiently.

In some alternative implementations, as shown in fig. 3, step S220 may include the following sub-steps:

s2201, determining whether the preset type entity corresponding to the changed data is a target entity.

The target entity may be an entity in a preset type entity set. For example, when the entity of the predetermined type is a company, an entity set indicating at least one important company may be preset, and if the entity of the predetermined type corresponding to the variation data is included in the entity set, the entity of the predetermined type is determined to be a target entity.

S2202, a data change time is determined based on the change data.

In general, the change data includes at least one piece of time data, each of which corresponds to information describing a feature of the time data, and based on the information, a data change time can be determined. For example, the data change time may be a distribution time of the data.

Alternatively, the electronic device may determine, based on the change data, an occurrence time of an event represented by the change data as the data change time.

By way of example, the change data includes a time of change by a corporate legal person, which is the time of occurrence of the event. As another example, the change data includes a patent application time, which is the time of occurrence of the event. By determining the occurrence time of the event represented by the change data as the data change time, the event can be tracked more specifically during public opinion monitoring, and the accuracy of the public opinion monitoring is further improved.

S2203, determining whether the elapsed time period between the data change time and the target time is less than or equal to a preset time period.

The target time may be a preset time or a current time that changes at any time. As an example, the target time may be a current time. The preset time period may be any set time period, for example, 30 days, and when the target time is the current time, the preset time period represents the last 30 days.

S2204, if it is determined that the preset type entity corresponding to the changed data is the target entity and/or the time period is less than or equal to the preset duration, determining that the changed data meets the preset condition.

According to the implementation mode, the preset type entities and the change data with the pushing significance can be screened out from the numerous preset type entities and the change data through setting the preset conditions, and therefore the pertinence of finally generated pushing information is improved.

In some optional implementations, the change description template includes a title template and a description content template, and the change description information includes title information and description content information.

By way of example, the title templates are shown in the following table:

description templates are shown in the following table:

based on the title template and the description content template, step S240 may be performed as follows:

first, header filling data is extracted from the variable data, and header information corresponding to the variable data is generated based on the header template and the header filling data.

Then, the descriptive content filling data is extracted from the changed data, and descriptive content information corresponding to the changed data is generated based on the descriptive content template and the descriptive content filling data.

Generally, for a certain piece of change data, the change data includes at least one piece of data having corresponding information for characterizing the data, and based on the information, the title filling data and the description filling data can be extracted from the change data.

For example, according to the two tables, for the change data whose data type is established for a company, data indicating a brand name or a boss name, data indicating a place name, and data indicating registered capital are extracted from the change data as header filling data, and the header filling data is filled in a corresponding header template to obtain header information corresponding to the change data. And extracting data representing company name, data representing legal representative, data representing registered capital, data representing industry and data representing business scope from the change data as description filling data, and filling the description filling data into corresponding description templates to obtain description information corresponding to the change data.

As an example, as shown in fig. 4, it shows the push information corresponding to a piece of change data of a certain company, and the push information provides the user with the latest situation of the company as a clue for the user to refer to, including clue id, company name, data type, message content, event time, data generation time, and the like.

According to the implementation mode, the title template and the description content template are established in advance, and the title information and the description content information can be generated according to the change data, so that the content of the change description information is richer and more clear, a user can check the change description information conveniently, and the checking efficiency is improved.

In some alternative implementations, step S240 may be performed as follows:

first, in response to determining that the data type is a target data type having numerical characteristics, numerical variation information characterizing a numerical variation situation is determined based on the variation data.

The data type with numerical characteristics can be a data type representing the characteristics of quantity, rank, percentage, price and the like. As an example, according to the two tables above, the registered capital can be a target data type, and according to the tables above representing the descriptive content templates, the external investment can be a target data type.

Generally, the variation data corresponding to the target data type needs to calculate the variation situation of the data. For example, according to the above two tables, if the data type is the registered capital, it is necessary to calculate the increase or decrease of the registered capital (calculation formula: ratio (current registered capital-historical registered capital)/historical registered capital), and the increase or decrease is used as the numerical variation information. For example, if the data type is an external investment, it is necessary to calculate the number-th stockholder of the invested company and use the number-th stockholder as the numerical variation information. In addition to the change description information that needs to be calculated, the change description information corresponding to other data types can be generally extracted directly from the change data.

Then, based on the numerical variation information, variation description information corresponding to the variation data is generated.

In general, the numerical value change information may be information included as change description information. For example, when the target data type is the registered capital, the change description information (i.e., the increment or decrement of the registered capital) may be filled in the title template and the description content template included in the change description template according to the two tables, and the title information and the description content information included in the change description information may be generated.

According to the implementation mode, the change description information is obtained by calculating the change data corresponding to the target data type with the numerical characteristics, so that the content of the change description information is richer, the time required by the user for calculation is saved, and the viewing efficiency of the user is improved.

Further reference is made to fig. 5, which schematically shows a flow chart of an information generating method according to another embodiment of the present disclosure. On the basis of the embodiment shown in fig. 2, S250 may further include the following steps:

and S2301, extracting detailed information screenshots of preset type entities corresponding to the change data.

And S2302, recognizing preset category information in the detail information screenshot to obtain a recognition result.

And S2303, extracting the target area image corresponding to the data type from the detailed information screenshot based on the recognition result.

S2304, generating push information for pushing to the target user terminal based on the change description information and the target area image.

In the embodiment corresponding to fig. 5, by acquiring the screenshot corresponding to the data type of the changed data and generating the push information based on the screenshot and the change description information, the content of the push information can be more comprehensive, thereby facilitating the user to view more detailed information about the changed data.

In S2301, the electronic device may extract a detailed information screenshot of a preset type entity corresponding to the change data.

The detail information may be a page on which related information of a preset type entity corresponding to the change data is recorded. For example, the detail information may be detail information of a certain enterprise described on an enterprise information query website, including an enterprise name, legal information, litigation information, business situation, and the like.

In S2302, the electronic device may identify preset category information in the detail information screenshot to obtain an identification result.

The preset category information may include, but is not limited to, various categories of information such as characters, numbers, symbols, and the like. For example, the electronic device may recognize the text in the detail information screenshot according to an existing OCR (Optical Character Recognition) method to obtain a text Recognition result.

In S2303, the electronic device may extract a target area image corresponding to the data type from the detail information screenshot based on the recognition result.

Specifically, the electronic device may determine information matching the data type from the recognition result, and then use an area image where the matching information is located as the target area image. As an example, as shown in fig. 6, if the data type is the executed person information, a target area image describing the situation of the executed person may be cut out from the detail information screenshot. Information enclosed by a solid line frame in fig. 6 indicates the case of the human actor corresponding to the latest generated fluctuation data.

In S2304, the electronic device may generate push information for pushing to the target user terminal based on the change description information and the target area image.

In general, the electronic device may set the target area image and the corresponding change description information in the same display area. For example, when the change description information and the target area image indicate the situation of the human being executed, the change description information and the target area image may be set in the same table.

In some alternative implementations, step S2303 may be performed as follows:

firstly, an identification chart of a preset type entity corresponding to the change data is obtained.

The identification map may be an image representing a preset type entity corresponding to the change data. By way of example, the identification map may be a logo map, or the like.

Then, based on the change description information, the target area image and the identification map, push information for pushing to the target user side is generated.

In general, the electronic device may set the target area image and the corresponding change description information and the identification map in the same display area. For example, when the change description information and the target area image indicate the situation of the human being executed, the change description information, the target area image setting, and the trademark map of the human being executed may be set in the same table.

According to the implementation mode, the identification chart of the preset type entity corresponding to the changed data is obtained, and the identification chart is added into the pushed information, so that the content of the pushed information can be further comprehensive, a user can be helped to better distinguish the preset type entity related to the changed data, and the efficiency of the user for searching the changed data is improved.

In some optional implementation manners, the preset category information in step S2302 is a text. Based on this, step S2302 may be performed as follows:

and identifying characters in the detailed information screenshot, and matching the obtained characters with the data type to obtain keywords representing the data type.

Specifically, when matching the recognized text with the data type, the existing text matching method can be adopted. For example, the obtained characters may be segmented to obtain a word set, the similarity between each word in the word set and the data type is determined, and finally the word with the highest similarity is extracted as a keyword for characterizing the data type. For example, when the data type is executed person information, the text in the detail information screenshot can be identified, and the keyword "executed person" is determined from the text, or the keyword related to the executed person is determined from the text, such as "litigation case" and the like.

Based on the keywords, step S2303 may be performed as follows:

and extracting a target area image corresponding to the data type from the detail information screenshot based on the coordinates of the keywords in the detail information screenshot.

As an example, coordinates of a keyword may be taken as base coordinates of a target area image to be intercepted, and an image within a target range may be intercepted from the detail information screenshot as the target area image. The target range may be a predetermined image range of a fixed size, or may be an area determined from the recognized keyword, and for example, an image range between the position of the keyword corresponding to the change data and the position of another type of keyword in the detail information screenshot may be determined as the target range.

According to the implementation mode, the keywords in the detailed information screenshot are identified, the target area image is intercepted according to the coordinates of the keywords, and which area in the detailed information screenshot corresponds to the change data can be determined more accurately, so that the accuracy of intercepting the target area image is improved, and more accurate screenshot is facilitated to be pushed to a user.

Exemplary devices

Fig. 7 schematically shows a structural diagram of an information generating apparatus according to an embodiment of the present disclosure. The information generating apparatus provided in the embodiment of the present disclosure may be disposed on the terminal device, or may be disposed on the server, or may be partially disposed on the terminal device and partially disposed on the server, for example, may be disposed on the server 105 in fig. 1 (according to actual replacement), but the present disclosure is not limited thereto.

The information generating apparatus provided by the embodiment of the present disclosure may include: an obtaining module 701, configured to obtain change data; a condition determining module 702, configured to determine whether the changed data meets a preset condition; a type determining module 703, configured to determine a data type of the changed data if the preset condition is met; and a change description information generating module 704, configured to generate change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

In this embodiment, the obtaining module 701 may obtain the variation data.

In this embodiment, the condition determining module 702 may determine whether the changed data meets a predetermined condition.

In this embodiment, if the predetermined condition is met, the type determining module 703 may determine the data type of the changed data.

In this embodiment, the change description information generation module 704 may generate change description information corresponding to change data based on a pre-established change description template corresponding to a data type.

Referring to fig. 8, fig. 8 is a schematic structural diagram of an information generating apparatus according to another exemplary embodiment of the present disclosure.

In some optional implementations, the apparatus further comprises: a push information generating module 705, configured to generate push information for pushing to a target user side based on the change description information.

In some optional implementations, the condition determining module 702 may include: a first determining unit 7021, configured to determine whether a preset type entity corresponding to the changed data is a target entity; a second determining unit 7022, configured to determine a data change time based on the changed data, and determine whether a time period between the data change time and the target time is less than or equal to a preset time period; a third determining unit 7023, configured to determine that the changed data meets the preset condition if it is determined that the preset type entity corresponding to the changed data is the target entity and/or the time period is less than or equal to the preset duration.

In some optional implementations, the second determining unit 7022 is further configured to: the occurrence time of an event represented by the change data is determined as a data change time based on the change data.

In some optional implementations, the change description template may include a title template and a description content template, and the change description information includes title information and description content information; the change description information generation module 704 may include: first generating section 7041 configured to extract header padding data from the variable data, and generate header information corresponding to the variable data based on the header template and the header padding data; second generating unit 7042 is configured to extract the descriptive content filling data from the variation data, and generate descriptive content information corresponding to the variation data based on the descriptive content template and the descriptive content filling data.

In some optional implementations, the push information generating module 705 may include: a first extracting unit 7051, configured to extract a detailed information screenshot of a preset type entity corresponding to the change data; the identifying unit 7052 is configured to identify preset category information in the detailed information screenshot, so as to obtain an identification result; a second extracting unit 7053, configured to extract, based on the recognition result, a target area image corresponding to the data type from the detail information screenshot; a third generating unit 7054, configured to generate push information for pushing to the target user side based on the change description information and the target area image.

In some alternative implementations, the third generating unit 7054 may include: an obtaining subunit 70541, configured to obtain an identifier of a preset type entity corresponding to the changed data; a generating subunit 70542, configured to generate push information for pushing to the target user terminal based on the change description information, the target area image, and the identifier map.

In some optional implementation manners, the preset category information may be a text; the identifying unit 7052 may be further configured to: recognizing characters in the detailed information screenshot, and matching the obtained characters with the data type to obtain keywords representing the data type; the second extracting unit 7053 may be further configured to: and extracting a target area image corresponding to the data type from the detail information screenshot based on the coordinates of the keywords in the detail information screenshot.

In some alternative implementations, the change description information generating module 704 may include: a fourth determining unit 7043, configured to determine, in response to determining that the data type is a target data type with a numerical characteristic, numerical value change information representing a numerical value change situation based on the change data; fourth generating section 7044 is configured to generate change description information corresponding to the change data based on the numerical value change information.

According to the information generation device provided by the embodiment of the disclosure, by acquiring the change data, determining the data type of the change data under the condition that the change data meets the preset condition, and then generating the change description information corresponding to the change data based on the pre-established change description template corresponding to the data type, the change data of the preset type entity is automatically extracted in real time, and the change description information is automatically generated, so that the consumption of manpower during the collection of the change data can be reduced, and the efficiency of public opinion monitoring on the preset type entity is improved.

The specific implementation of each module, unit, and sub-unit in the information generating apparatus provided in the embodiment of the present disclosure may refer to the content in the information generating method, and is not described herein again.

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

Exemplary electronic device

As shown in FIG. 9, the example electronic device 90 includes a processor 901 for executing software routines although a single processor is shown for clarity, the electronic device 90 may also include a multi-processor system. The processor 901 is connected to a communication infrastructure 902 for communicating with other components of the electronic device 90. The communication infrastructure 902 may include, for example, a communication bus, a crossbar, or a network.

Electronic device 90 also includes Memory, such as Random Access Memory (RAM), which may include a main Memory 903 and a secondary Memory 910. The secondary memory 910 may include, for example, a hard disk drive 911 and/or a removable storage drive 912, which may include a floppy disk drive, a magnetic tape drive, an optical disk drive, etc. Removable storage drive 912 reads from and/or writes to a removable storage unit 913 in a conventional manner. Removable storage unit 913 may comprise a floppy disk, magnetic tape, optical disk, etc. which is read by and written to by removable storage drive 912. As will be appreciated by those skilled in the relevant art(s), the removable storage unit 913 includes a computer-readable storage medium having stored thereon computer-executable program code instructions and/or data.

In an alternative embodiment, the secondary memory 910 may additionally or alternatively include other similar means for allowing computer programs or other instructions to be loaded into the electronic device 90. Such means may include, for example, a removable storage unit 921 and an interface 920. Examples of removable storage unit 921 and interface 920 include: a program cartridge and cartridge interface (such as that found in video game console devices), a removable memory chip (such as an EPROM, or PROM) and associated socket, and other removable storage units 921 and interfaces 920 which allow software and data to be transferred from the removable storage unit 921 to electronic device 90.

The electronic device 90 also includes at least one communication interface 940. Communications interface 940 allows software and data to be transferred between electronic device 90 and external devices via communications path 941. In various embodiments of the present disclosure, the communication interface 940 allows data to be transferred between the electronic device 90 and a data communication network, such as a public data or private data communication network. The communication interface 940 may be used to exchange data between different electronic devices 90, which electronic devices 90 form part of an interconnected computer network. Examples of communication interface 940 may include a modem, a network interface (such as an ethernet card), a communication port, an antenna with associated circuitry, and so forth. The communication interface 940 may be wired or may be wireless. Software and data transferred via communications interface 940 are in the form of signals which may be electronic, magnetic, optical or other signals capable of being received by communications interface 940. These signals are provided to a communications interface via communications path 941.

As shown in fig. 9, the electronic device 90 further includes a display interface 931 to perform operations for rendering images to an associated display 930, and an audio interface 932 to perform operations for playing audio content through an associated speaker 933.

In this document, the term "computer program product" may refer, in part, to: a removable storage unit 913, a removable storage unit 921, a hard disk installed in the hard disk drive 911, or a carrier wave carrying software over a communication path 941 (wireless link or cable) to the communication interface 940. Computer-readable storage media refers to any non-transitory tangible storage medium that provides recorded instructions and/or data to electronic device 90 for execution and/or processing. Examples of such storage media include floppy disks, magnetic tape, CD-ROMs, DVDs, Blu-ray (TM) disks, hard disk drives, ROMs, or integrated circuits, USB memory, magneto-optical disks, or a computer-readable card, such as a PCMCIA card, etc., whether internal or external to the electronic device 90. Transitory or non-tangible computer-readable transmission media may also participate in providing software, applications, instructions, and/or data to the electronic device 90, examples of such transmission media including radio or infrared transmission channels, network connections to another computer or another networked device, and the internet or intranet including e-mail transmissions and information recorded on websites and the like.

Computer programs (also called computer program code) are stored in the main memory 903 and/or the secondary memory 910. Computer programs may also be received via communications interface 940. Such computer programs, when executed, enable the electronic device 90 to perform one or more features of embodiments discussed herein. In various embodiments, the computer programs, when executed, enable the processor 901 to perform the features of the embodiments described above. Accordingly, such computer programs represent controllers of the electronic device 90.

The software may be stored in a computer program product and loaded into electronic device 90 using removable storage drive 912, hard drive 911 or interface 920. Alternatively, the computer program product may be downloaded to the electronic device 90 via the communication path 941. The software, when executed by the processor 901, causes the electronic device 90 to perform the functions of the embodiments described herein.

It should be understood that the embodiment of fig. 9 is given by way of example only. Accordingly, in some embodiments, one or more features of the electronic device 90 may be omitted. Also, in some embodiments, one or more features of the electronic device 90 may be combined together. Additionally, in some embodiments, one or more features of the electronic device 90 may be separated into one or more components.

It will be appreciated that the elements shown in fig. 9 serve to provide a means for performing the various functions and operations of the server described in the above embodiments.

In one embodiment, a server may be generally described as a physical device including at least one processor and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the physical device to perform necessary operations.

Exemplary computer readable storage Medium

Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the functions of the method shown in fig. 2-6.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by an electronic device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

From the above description of the embodiments, it is clear to those skilled in the art that the embodiments of the present disclosure can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the embodiments of the present specification may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.

Exemplary computer program

The disclosed embodiments also provide a computer program product for storing computer readable instructions, which when executed cause a computer to execute the information generating method in any possible implementation manner.

The computer program product may be embodied in hardware, software or a combination thereof. In one alternative, the computer program product is embodied in a computer storage medium, and in another alternative, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.

The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.

In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions.

The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.

Claims

1. An information generating method, comprising:

acquiring change data;

determining whether the changed data meet a preset condition;

if the preset conditions are met, determining the data type of the changed data;

and generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

2. The method of claim 1, wherein after the generating the change description information corresponding to the change data, the method further comprises:

and generating push information for pushing to a target user side based on the change description information.

3. The method of claim 1, wherein the determining whether the change data meets a predetermined condition comprises:

determining whether a preset type entity corresponding to the changed data is a target entity;

determining a data change time based on the change data;

determining whether the elapsed time period between the data change time and the target time is less than or equal to a preset time length;

and if the preset type entity corresponding to the changed data is determined to be the target entity and/or the time period is less than or equal to the preset time length, determining that the changed data meets the preset condition.

4. The method of claim 3, wherein determining a data change time based on the change data comprises:

determining, as the data change time, an occurrence time of an event represented by the change data based on the change data.

5. The method according to claim 1, wherein the change description template includes a title template and a description content template, and the change description information includes title information and description content information;

the generating of the change description information corresponding to the change data based on the pre-established change description template corresponding to the data type includes:

extracting title filling data from the changed data, and generating title information corresponding to the changed data based on the title template and the title filling data;

and extracting description content filling data from the change data, and generating description content information corresponding to the change data based on the description content template and the description content filling data.

6. The method of claim 2, wherein generating push information for pushing to a target user side based on the change description information comprises:

extracting a detail information screenshot of a preset type entity corresponding to the change data;

recognizing preset category information in the detail information screenshot to obtain a recognition result;

extracting a target area image corresponding to the data type from the detail information screenshot based on the identification result;

and generating push information for pushing to a target user side based on the change description information and the target area image.

7. The method of claim 6, wherein generating push information for pushing to a target user terminal based on the change description information and the target area image comprises:

acquiring a marking chart of a preset type entity corresponding to the change data;

and generating push information for pushing to a target user side based on the change description information, the target area image and the identification map.

8. The method according to claim 6, wherein the predetermined category information is text;

the recognizing of the preset category information in the detail information screenshot to obtain a recognition result comprises the following steps:

recognizing characters in the detailed information screenshot, and matching the obtained characters with the data type to obtain keywords representing the data type;

the extracting a target area image corresponding to the data type from the detail information screenshot based on the recognition result comprises:

and extracting a target area image corresponding to the data type from the detail information screenshot on the basis of the coordinates of the keywords in the detail information screenshot.

9. The method according to any one of claims 1 to 8, wherein the generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type comprises:

in response to determining that the data type is a target data type with numerical characteristics, determining numerical variation information representing a numerical variation situation based on the variation data;

and generating change description information corresponding to the change data based on the numerical change information.

10. An information generating apparatus, characterized by comprising:

the acquisition module is used for acquiring the change data;

the condition judgment module is used for determining whether the changed data meets a preset condition;

the type judgment module is used for determining the data type of the changed data if the preset conditions are met;

and the change description information generation module is used for generating change description information corresponding to the change data based on a pre-established change description template corresponding to the data type.

11. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the information generation method of any one of claims 1-9 via execution of the executable instructions.

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

13. A computer program comprising computer readable code for, when run on a device, executing instructions for implementing the steps of the method according to any one of claims 1 to 9 by a processor in the device.