CN110377891B - Method, device, device, and computer-readable storage medium for generating event analysis articles - Google Patents

Abstract

The present application provides a method, device, equipment and computer-readable storage medium for generating event analysis articles. In this embodiment of the present application, by using the event knowledge map, the associated information of the event is determined. The associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event. Furthermore, according to the event The related information of the event, using the participant knowledge graph and the event knowledge graph, obtains the related content of the event, and the related content of the event includes the introduction content of the event, the domain content of the event field, and the participant The introduction content of the event, and according to the related information of the event, use the event knowledge map to obtain the impact content of the event, so that the related content of the event and the impact content of the event can be organized and processed to generate the For event analysis articles, since the knowledge map can effectively add more knowledge content to the event, through these knowledge content, the event can be reported, analyzed and predicted more comprehensively, and the depth of the generated article can be effectively improved to meet the needs of users for the event. The possibility of being adopted by users has increased, thus improving the reliability of article generation.

Description

Event Analysis Article Generation Method, Device, Equipment, and Computer-Readable Storage Medium

【Technical field】

The present application relates to article generation technology, in particular to a method, device, equipment and computer-readable storage medium for generating event analysis articles.

【Background technique】

With the rapid development of the Internet today, in the field of article generation, more and more articles are automatically generated by machines. The machine can automatically generate event introduction articles based on the collected event-related news to briefly introduce the event.

However, since an article about an event is generated entirely based on news related to an event, the content of the generated article may not meet the user's need to know about the event, and the possibility of being adopted by the user is not very high, resulting in This reduces the reliability of article generation.

【Content of invention】

Various aspects of the present application provide a method, device, device, and computer-readable storage medium for generating event analysis articles, so as to improve the reliability of article generation.

In one aspect of the present application, a method for generating an event analysis article is provided, including:

Using the event knowledge map to determine the associated information of the event, the associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event;

According to the related information of the event, use the participant knowledge graph and the event knowledge graph to obtain the related content of the event, the related content of the event includes the introduction content of the event, the domain content of the event field and The content of the introduction of the said party;

Obtaining the impact content of the event by using the event knowledge map according to the related information of the event;

Organize and process the related content of the event and the impact content of the event to generate an event analysis article of the event.

Another aspect of the present application provides a device for generating event analysis articles, including:

A determining unit, configured to determine associated information of an event by using the event knowledge graph, where the associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event;

The obtaining unit is configured to use the participant knowledge graph and the event knowledge graph to obtain the relevant content of the event according to the relevant information of the event, and the relevant content of the event includes the introduction content of the event, the event The domain content of the domain and the introduction content of said participants;

The obtaining unit is further configured to obtain the impact content of the event by using the event knowledge map according to the related information of the event;

A generating unit, configured to organize and process the related content of the event and the impact content of the event, so as to generate an event analysis article of the event.

Another aspect of the present application provides a device, the device comprising:

one or more processors;

storage means for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors implement the event analysis article generation method provided in the above aspect.

Another aspect of the present application provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the event analysis article generation method provided in the above aspect is implemented.

It can be seen from the above technical solution that the embodiment of the present application determines the related information of the event by using the event knowledge graph, and the related information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event. Furthermore, according to the related information of the event, using the participant knowledge graph and the event knowledge graph, the related content of the event is obtained, and the related content of the event includes the introduction content of the event, the field of the event field Content and the introduction content of the participants, and according to the related information of the event, using the event knowledge graph to obtain the impact content of the event, so that the related content of the event and the impact content of the event can be organized processing to generate an event analysis article for the event, since the knowledge map can effectively add more knowledge content to the event, through which the event can be more comprehensively reported, analyzed and predicted, and the depth of the generated article can be effectively improved , to meet the user's need to know about the event, and the possibility of being adopted by the user is increased, thereby improving the reliability of article generation.

In addition, by adopting the technical solution provided by this application, by combining the event knowledge map, participant knowledge map and event knowledge map, it is possible to effectively report and analyze events comprehensively, and further predict possible impacts.

In addition, by adopting the technical solutions provided in this application, user experience can be effectively improved.

【Description of drawings】

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the embodiments or the description of the prior art. Obviously, the accompanying drawings in the following description are of the present application For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

FIG. 1 is a schematic flow diagram of a method for generating an event analysis article provided by an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a device for generating an event analysis article provided by another embodiment of the present application;

FIG. 3 is a block diagram of an exemplary computer system/server 12 suitable for implementing embodiments of the present application.

【detailed description】

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

It should be noted that the terminals involved in the embodiments of the present application may include, but are not limited to, mobile phones, personal digital assistants (Personal Digital Assistant, PDA), wireless handheld devices, tablet computers (Tablet Computer), personal computers (Personal Computer, PC ), MP3 players, MP4 players, wearable devices (eg, smart glasses, smart watches, smart bracelets, etc.), etc.

In addition, the term "and/or" in this article is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and/or B, which may mean: A exists alone, A and B exist at the same time, There are three cases of B alone. In addition, the character "/" in this article generally indicates that the contextual objects are an "or" relationship.

FIG. 1 is a schematic flowchart of a method for generating an event analysis article provided by an embodiment of the present application, as shown in FIG. 1 .

101. Using the event knowledge graph, determine the associated information of the event, where the associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event.

102. According to the related information of the event, use the participant knowledge graph and the event knowledge graph to obtain the related content of the event, and the related content of the event includes the introduction content of the event and the field of the event field content and descriptions of said parties.

103. According to the related information of the event, use the event knowledge graph to obtain the impact content of the event.

104. Organize and process the related content of the event and the impact content of the event, so as to generate an event analysis article of the event.

The events in this application may be events that occur in various fields, for example, financial events that occur in the financial field, such as investment and financing events, etc., which are not particularly limited in this application.

So far, the automatic generation of event articles has been realized, and events can be reported, analyzed and predicted more comprehensively through the generated articles.

It should be noted that part or all of the execution subjects of 101-104 may be applications located on the local terminal, or may also be functions such as plug-ins or software development kits (Software Development Kit, SDK) set in the applications located on the local terminal. The unit may also be a processing engine located in a server on the network side, or may also be a distributed system located on the network side, which is not particularly limited in this embodiment.

It can be understood that the application may be a local program (nativeApp) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, which is not particularly limited in this embodiment.

In this way, by using the event knowledge graph, the associated information of the event is determined, and the associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event. Information, using the participant knowledge graph and the event knowledge graph to obtain the related content of the event, the related content of the event includes the introduction content of the event, the domain content of the event domain and the introduction of the participant Content, and according to the related information of the event, use the event knowledge map to obtain the content of the event, so that the related content of the event and the content of the event can be organized and processed to generate the content of the event Event analysis articles, because the knowledge map can effectively add more knowledge content to the event, through which the event can be reported, analyzed and predicted more comprehensively, and the depth of the generated article can be effectively improved to satisfy the user's understanding of the event Demand, the possibility of being adopted by users has increased, thereby improving the reliability of article generation.

The so-called knowledge graph itself is a network knowledge base formed by entities with attributes linked by relationships. From the perspective of the graph, the knowledge graph is essentially a conceptual network, in which nodes represent entities in the physical world (or concept), and the various semantic relationships between entities constitute the edges in the network, and the edges are directional. Therefore, the knowledge graph is a symbolic representation of the physical world.

The three knowledge graphs used in this application, namely event knowledge graph, participant knowledge graph and event knowledge graph, refer to knowledge graphs for professional concepts in a specific direction.

The event knowledge graph can be used to represent event content data. The node data in the event knowledge graph may include but not limited to the name of the event, the time when the event occurred, the participants of the event, the field of the event to which the event belongs, and the introduction of the event, which is not particularly limited in this application.

For example, taking an investment and acquisition event as an example, the node data in the event knowledge graph used in this application can be the name of the event, the time of occurrence of the event, the investor, the investee, the field of the event to which the event belongs, and the introduction of the event.

The participant knowledge graph can be used to represent content data of event participants. The node data in the knowledge map of the participant may include but not limited to the field to which the participant belongs, the event-related behavior of the participant, the service products and scope provided by the participant, the management information of the participant, and the information chain information of the participant. Upstream and downstream, this application does not specifically limit it.

For example, taking an investment merger and acquisition event as an example, the node data in the participant knowledge map used in this application can be the field to which the enterprise belongs, the investment and financing behavior of the enterprise, the service products and scope provided by the enterprise, the management information of the enterprise, and the upstream and downstream of the information chain.

The event knowledge graph can be used to represent the relationship data between the participants of the event, where the relationship can include but not limited to cause and effect, succession and transition, which is not particularly limited in this application. The participant knowledge graph takes events as nodes and the relationship between events as edges.

This application can be used for event reasoning through the event map, for example: what impact will occur after the event occurs, including positive impact and negative impact, analyze some events, and predict possible impact.

Optionally, in a possible implementation of this embodiment, before step 101, the event corpus data may be further obtained according to historical events with the same or similar name as the event, and further, the event corpus data may be obtained according to the The event corpus data is used to construct the event knowledge graph, the participant knowledge graph and the event knowledge graph.

Specifically, an existing knowledge graph construction method may be used to construct the event knowledge graph, the participant knowledge graph, and the event knowledge graph by using event corpus data.

Optionally, in a possible implementation of this embodiment, in 104, specifically, the related content of the event and the impact content of the event may be added to a preset article template to generate the event event analysis articles.

Specifically, the corresponding article template can be obtained according to the type of the event. Wherein, the article template can be generated using an existing template generation method, for example, machine learning, manual configuration, and the like.

Taking an investment and financing event as an example, the article template corresponding to the type of the event may include but not limited to at least one of the following content modules:

title and lead;

Introduction of the invested enterprise;

The overall investment market in the investment field;

Related investment events in the investment field;

Investment companies, competition and layout in investment fields.

Optionally, in a possible implementation of this embodiment, in 104, specifically, according to a preset configuration file, the related content of the event and the content of the impact of the event may be organized and processed, so as to generate the An event analysis article describing the event.

Specifically, the corresponding configuration file can be obtained according to the type of the event. Wherein, the configuration file may be generated using an existing file generation method, for example, machine learning, manual configuration, and the like.

The technical solution provided by this application will be described in detail below by taking the investment and acquisition event "Baidu leads the investment in WM Motor" as an example.

First, the event knowledge map can be used to determine the name of the event as "Baidu Leading Investment in WM Motor", the investment field to which the event belongs is "unmanned driving field", the investor is "Baidu (Leading Investment)", and the invested The square is "WM Motor".

Subsequently, according to the name of the event, "Baidu leads the investment in WM Motor", the event knowledge map can be used to obtain the introduction content data of the event, such as the time when the event occurred, the investor, the investee, and the investment field to which the event belongs.

Then, based on the fact that the investee is "WM Motor", the knowledge map of the participants can be used to obtain the field of the investee's enterprise, the service products and scope provided by the enterprise, the management information of the enterprise, and the upper information chain of the enterprise. Data on the basic situation of downstream and other enterprises.

Further, according to the fact that the investee is "WM Motor", the event knowledge map can be used to obtain the event data of all financing events of the investee. Furthermore, statistical processing may be further performed on these event data to obtain statistical data, for example, corporate shareholders and the like. In order to display the statistical data more clearly, the statistical data can be displayed in a chart.

Next, according to the fact that the investment field to which the event belongs is "unmanned driving field", the event data of all investment and financing events in the investment field can be obtained by using the event knowledge graph. Furthermore, statistical processing may be further performed on these event data to obtain statistical data, for example, investment financing events and investment financing amounts thereof. In order to display the statistical data more clearly, the statistical data can be displayed in a chart.

Further, in order to make statistical data more meaningful, only event data and statistical data of investment and financing events within the latest time range (such as the last year) may be used.

Further, according to the fact that the investment field to which the event belongs is the "unmanned driving field", the knowledge graph of the participants can be used to obtain corporate financing data of all enterprises in the investment field, for example, the number of financing rounds, etc. In order to display the obtained corporate financing data more clearly, specific charts can be used to display the corporate financing data.

Then, based on the fact that the investor is "Baidu (Leading Investment)", the participant's knowledge map can be used to obtain the field of the investor's enterprise, the service products and scope provided by the enterprise, the management information of the enterprise, and the upper part of the information chain where the enterprise is located. Data on the basic situation of downstream and other enterprises.

Further, according to the fact that the investor is "Baidu (Leading Investment)", the event knowledge map can be used to obtain the event data of all investment events of the investor in the last N (such as 1 year or 5 years, etc.) years. Furthermore, statistical processing may be further performed on these event data to obtain statistical data, for example, investment field, investment quantity, investment amount, and the like. In order to display the statistical data more clearly, the statistical data can be displayed in a chart.

Further, in order to make statistical data more meaningful, only the event data and statistical data of investment events in the latest time range (eg, the last year) may be used.

Subsequently, based on the fact that the investor is "Baidu (Leading Investment)", the event knowledge map can be used to determine that the investor's competitor is "Tencent". Then, the event knowledge map can be further used to obtain the latest N of the competitor (such as 1 2 years or 5 years, etc.) event data for all investment events within a year. Furthermore, statistical processing may be further performed on these event data to obtain statistical data, for example, investment field, investment quantity, investment amount, and the like. In order to display the statistical data more clearly, the statistical data can be displayed in a chart.

Further, according to the fact that the investment field to which the event belongs is "unmanned driving field", the event data of all investment events of each of the N enterprises with the largest number of investments in the investment field can be obtained by using the event knowledge graph. Furthermore, statistical processing may be further performed on these event data to obtain statistical data, such as investment quantity, investment amount, and the like. In order to display the statistical data more clearly, the statistical data can be displayed in a chart.

Finally, according to the fact that the investor is "Baidu (Leading Investment)" and the investee is "WM Motor", the relationship between the investor and the investee is obtained by using the knowledge graph of the participants.

Generally, there is often a certain relationship between the investor and the investee, which can be divided into three types, namely horizontal investment relationship, vertical investment relationship and mixed investment relationship. Among them, the horizontal investment relationship refers to the fact that the investor and the investee belong to similar industries. For example, the investor and the investee belong to the retail industry; There is an upstream and downstream relationship. For example, if the investor belongs to the automotive industry and the investee belongs to the battery industry, then the investor and the investee have an upstream and downstream relationship; a mixed investment relationship refers to the relationship between the investor and the investee. The fields to which the investors belong belong to different industries, and often large enterprises invest in small enterprises as investors.

After obtaining the relationship between the investor and the investee, the event knowledge graph can be further used for analysis and processing to obtain the impact of the event, for example, the impact of the event on the investor, the investee, and the investment field.

For the horizontal investment relationship, you can use the knowledge map of affairs to analyze the internal information of the industry such as the market share of both the investor and the investee, whether the investment will affect the internal information of the industry such as the market share, and whether it will cause fluctuations in the stock prices of the two ; For the vertical investment relationship, you can use the knowledge map of affairs to analyze the supply relationship between the investor and the investee in terms of products, whether the investment will affect the supply relationship, and whether it will cause the stock price fluctuations of the two; for mixed investment relationship, you can use the event knowledge graph to analyze the event impact of similar investment events on the investor side.

After obtaining the relevant content of the event and the content of the impact of the event, the relevant content of the event and the content of the impact of the event may be added to a preset article template to generate an event analysis article of the event.

For example, the introduction content data of events, such as the time of occurrence of the event, the investor, the investee, and the investment field to which the event belongs, can be added to the "title and lead" part of the article template, and some auxiliary vocabulary, such as language sense Vocabulary, mood vocabulary, grammatical structure vocabulary, etc., connect them into paragraphs that can express complete meaning;

Or, for another example, the investee’s field, the service products and scope provided by the enterprise, the enterprise’s management information, the upstream and downstream of the enterprise’s information chain, etc. can be used to introduce the data, as well as all the financing events of the investee The event data and statistical data of the article template are added to the "invested company introduction" section of the article template, and some auxiliary vocabulary is used, such as language sense vocabulary, tone vocabulary, grammatical structure vocabulary, etc., and formatting symbols, such as table lines, charts Lines, etc., connect them into paragraphs that can express a complete meaning;

Or, for another example, the event data and statistical data of all investment and financing events in the investment field, as well as the corporate financing data of all companies in the investment field, can be added to the "overall investment market in the investment field" section of the article template, and adopt Some auxiliary vocabulary, such as sense of language vocabulary, mood vocabulary, grammatical structure vocabulary, etc., and format symbols, such as table lines, chart lines, etc., connect them into paragraphs that can express complete meaning;

Or, for another example, the event data and statistical data of investment and financing events within the latest time range (such as the latest 1 year) can be added to the "relevant investment events in the investment field" section of the article template, and some auxiliary vocabulary can be used, For example, language sense vocabulary, mood vocabulary, grammatical structure vocabulary, etc., and formatting symbols, such as table lines, chart lines, etc., to connect them into paragraphs that can express complete meaning;

Or, for another example, the investor’s company’s field, the service products and scope provided by the company, the company’s management information, and the upstream and downstream of the company’s information chain can be introduced. The investor’s recent N (such as 1 year) or 5 years, etc.), the event data and statistical data of all investment events within the year, as well as the impact of the event, are added to the "investment companies, competition and layout in the investment field" section of the article template, and some auxiliary vocabulary is used, for example, language sense vocabulary , mood vocabulary, grammatical structure vocabulary, etc., and formatting symbols, such as table lines, chart lines, etc., to connect them into paragraphs that can express complete meaning.

So far, the automatic generation of event analysis articles for the investment and acquisition event "Baidu leads the investment in WM Motor" has been completed. By combining event knowledge graph, participant knowledge graph and event knowledge graph, more content can be added to the investment and acquisition event "Baidu leads the investment in WM Motor". Through these supplementary content, the investment and acquisition event can be reported and analyzed more comprehensively "Baidu Leads Investment in WM Motor".

In this embodiment, by using the event knowledge graph, the associated information of the event is determined, and the associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event. The related information of the event, using the participant knowledge graph and the event knowledge graph to obtain the related content of the event, the related content of the event includes the introduction content of the event, the domain content of the event domain and the participation The introduction content of the party, and according to the related information of the event, use the event knowledge graph to obtain the impact content of the event, so that the related content of the event and the impact content of the event can be organized and processed to generate the event. Event analysis articles about events, because the knowledge map can effectively add more knowledge content to the event, through these knowledge content can be more comprehensively reported, analyzed and predicted events, can effectively improve the depth of the generated articles, and meet the needs of users. The possibility of being adopted by users has been improved for the event's need to be known, thereby improving the reliability of article generation.

In addition, by adopting the technical solution provided by this application, by combining the event knowledge map, participant knowledge map and event knowledge map, it is possible to effectively report and analyze events comprehensively, and further predict possible impacts.

In addition, by adopting the technical solutions provided in this application, user experience can be effectively improved.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

FIG. 2 is a schematic structural diagram of a device for generating an event analysis article provided by another embodiment of the present application, as shown in FIG. 2 . The device for generating an event analysis article in this embodiment may include a determining unit 21 , an obtaining unit 22 and a generating unit 23 . Wherein, the determining unit 21 is configured to use the event knowledge map to determine the associated information of the event, the associated information of the event includes the name of the event, the event field to which the event belongs, and the participant of the event; the obtaining unit 22 , for obtaining the related content of the event by using the participant knowledge graph and the event knowledge graph according to the related information of the event, the related content of the event includes the introduction content of the event, the content of the event field field content and the introduction content of the participants; the obtaining unit 22 is also used to obtain the impact content of the event by using the event knowledge map according to the related information of the event; the generation unit 23 is used to The related content of the event and the impact content of the event are organized and processed to generate an event analysis article of the event.

The events in this application may be events that occur in various fields, for example, financial events that occur in the financial field, such as investment and financing events, etc., which are not particularly limited in this application.

So far, the automatic generation of event articles has been realized, and events can be reported, analyzed and predicted more comprehensively through the generated articles.

It should be noted that part or all of the device for generating event analysis articles provided in this embodiment may be an application located on a local terminal, or may also be a plug-in or a software development kit (Software A functional unit such as a Development Kit (SDK) may also be a search engine located in a server on the network side, or may also be a distributed system located on the network side, which is not particularly limited in this embodiment.

It can be understood that the application may be a local program (nativeApp) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, which is not particularly limited in this embodiment.

Optionally, in a possible implementation of this embodiment, the generation unit 23 may specifically be configured to add the content associated with the event and the content affected by the event to a preset article template, Generate an event analysis article for said event.

Optionally, in a possible implementation of this embodiment, the generation unit 23 may specifically be configured to organize and process the associated content of the event and the impact content of the event according to a preset configuration file , to generate an event analysis article for the event in question.

Optionally, in a possible implementation of this embodiment, the obtaining unit 22 may be further configured to obtain event corpus data according to historical events with the same or similar name as the event; and The event corpus data is used to construct the event knowledge graph, the participant knowledge graph and the event knowledge graph.

It should be noted that the method in the embodiment corresponding to FIG. 1 can be realized by the device for generating an event analysis article provided in this embodiment. For detailed description, reference may be made to relevant content in the embodiment corresponding to FIG. 1 , and details are not repeated here.

In this embodiment, the determining unit uses the event knowledge map to determine the associated information of the event, the associated information of the event includes the name of the event, the event field to which the event belongs, and the participants of the event, and then, by The obtaining unit obtains the relevant content of the event according to the relevant information of the event, using the participant knowledge map and the event knowledge map, and the relevant content of the event includes the introduction content of the event, the field of the event field content and the introduction content of the participant, and according to the related information of the event, using the event knowledge map to obtain the content of the event's influence, so that the generating unit can analyze the related content of the event and the content of the event's influence Organizational processing is carried out to generate event analysis articles for the event. Since the knowledge map can effectively supplement more knowledge content for the event, these knowledge contents can be used to report, analyze and predict events more comprehensively, and can effectively improve the generated articles. The depth of the article satisfies the user's need to know about the event, and the possibility of being adopted by the user is improved, thereby improving the reliability of the article generation.

In addition, by adopting the technical solution provided by this application, by combining the event knowledge map, participant knowledge map and event knowledge map, it is possible to effectively report and analyze events comprehensively, and further predict possible impacts.

In addition, by adopting the technical solutions provided in this application, user experience can be effectively improved.

FIG. 3 shows a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present application. The computer system/server 12 shown in FIG. 3 is only an example, and should not limit the functions and scope of use of the embodiments of the present application.

As shown in FIG. 3, computer system/server 12 takes the form of a general-purpose computing device. Components of computer system/server 12 may include, but are not limited to, one or more processors or processing units 16, storage or system memory 28, bus 18 connecting various system components including system memory 28 and processing unit 16.

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These architectures include, by way of example, but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect ( PCI) bus.

Computer system/server 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer system/server 12 and include both volatile and nonvolatile media, removable and non-removable media.

System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and/or cache memory 32 . Computer system/server 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (not shown in FIG. 3, commonly referred to as a "hard drive"). Although not shown in FIG. 3, a disk drive for reading and writing to removable nonvolatile disks (e.g., "floppy disks") may be provided, as well as for removable nonvolatile optical disks (e.g., CD-ROM, DVD-ROM or other optical media) CD-ROM drive. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present application.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including - but not limited to - an operating system, one or more application programs, other Program modules, as well as program data, each or some combination of these examples may include implementations of network environments. The program modules 42 generally perform the functions and/or methods of the embodiments described herein.

The computer system/server 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 25, etc.), and may also communicate with one or more devices that enable a user to interact with the computer system/server 12, And/or communicate with any device (eg, network card, modem, etc.) that enables the computer system/server 12 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 44 . Also, computer system/server 12 may communicate with one or more networks (eg, local area network (LAN), wide area network (WAN) and/or public networks such as the Internet) via network adapter 20 . As shown, network adapter 20 communicates with other modules of computer system/server 12 via bus 18 . It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with computer system/server 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, Tape drives and data backup storage systems, etc.

The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28 , for example, realizing the method for generating event analysis articles provided by the embodiment corresponding to FIG. 1 .

Another embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method for generating an event analysis article provided in the embodiment corresponding to FIG. 1 is implemented.

In particular, any combination of one or more computer readable medium(s) may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a data signal carrying computer readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including - but not limited to - electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction 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, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, and conventional Procedural programming language—such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, using an Internet service provider to connected via the Internet).

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or page components can be combined Or it can be integrated into another system, or some features can be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional units.

The above-mentioned integrated units implemented in the form of software functional units may be stored in a computer-readable storage medium. The above-mentioned software functional units are stored in a storage medium, and include several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) execute part of the method described in each embodiment of the present application step. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other various media that can store program codes. .

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, rather than limiting them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present application.

Claims (10)

1. A method for generating an event analysis article is characterized by comprising the following steps:

determining the associated information of an event by using an event knowledge graph, wherein the associated information of the event comprises the name of the event, the event field to which the event belongs and the participant of the event;

acquiring the related content of the event by utilizing a participant knowledge graph and the event knowledge graph according to the related information of the event, wherein the related content of the event comprises introduction content of the event, field content of the event field and introduction content of the participant;

obtaining the influence content of the event by using a matter knowledge graph according to the association information of the event;

and organizing the associated content of the event and the influence content of the event to generate an event analysis article of the event.

2. The method of claim 1, wherein the organizing the associated content of the event and the influence content of the event to generate an event analysis article of the event comprises:

adding the related content of the event and the influence content of the event into a preset article template to generate an event analysis article of the event; or alternatively

And organizing the related content of the event and the influence content of the event according to a preset configuration file to generate an event analysis article of the event.

3. The method of claim 1, further comprising:

obtaining event corpus data according to events which occur in history and have the same or similar names with the events;

and constructing the event knowledge graph, the participant knowledge graph and the affair knowledge graph according to the event corpus data.

4. A method according to any one of claims 1 to 3, wherein the event comprises a financial event.

5. An apparatus for generating an event analysis article, comprising:

the event knowledge graph is used for determining the association information of the event, wherein the association information of the event comprises the name of the event, the event field to which the event belongs and the participant of the event;

an obtaining unit, configured to obtain, according to the association information of the event, association content of the event by using a participant knowledge graph and the event knowledge graph, where the association content of the event includes introduction content of the event, domain content of the event domain, and introduction content of the participant;

the obtaining unit is further configured to obtain the influence content of the event by using a case knowledge graph according to the association information of the event;

and the generating unit is used for organizing and processing the related content of the event and the influence content of the event so as to generate an event analysis article of the event.

6. Device according to claim 5, characterized in that the generating unit is specifically configured to

Adding the related content of the event and the influence content of the event into a preset article template to generate an event analysis article of the event; or

And organizing the associated content of the event and the influence content of the event according to a preset configuration file to generate an event analysis article of the event.

7. The apparatus of claim 5, wherein the obtaining unit is further configured to obtain the second data

Obtaining event corpus data according to events which are historically generated and have the same or similar names with the events; and

and constructing the event knowledge graph, the participant knowledge graph and the affair knowledge graph according to the event corpus data.

8. An apparatus as claimed in any one of claims 5 to 7, wherein the event comprises a financial event.

9. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a storage device to store one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 4.

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