CN110209930A - The investee's analysis method and device of knowledge based map - Google Patents
The investee's analysis method and device of knowledge based map Download PDFInfo
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- CN110209930A CN110209930A CN201910358726.5A CN201910358726A CN110209930A CN 110209930 A CN110209930 A CN 110209930A CN 201910358726 A CN201910358726 A CN 201910358726A CN 110209930 A CN110209930 A CN 110209930A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
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Abstract
The present invention relates to big data technical fields, provide the investing tip object method and device of a kind of knowledge based map.Wherein method includes: the identification information for obtaining investee；Wherein, the identification information of the investee is for investee described in unique identification；Keyword is determined based on the identification information and with the first kind correlating event of investee described in the keyword search, the first kind correlating event has multiple label informations；The second class correlating event is searched according to the label information of the first kind correlating event；Wherein, the time that the second class correlating event occurs is earlier than the time that the first kind correlating event occurs；The first kind correlating event and the second class correlating event are pushed to user.The technical program solves the not high technical problem of the relevance in the prior art between the investing tip that investing tip platform provides and investee.
Description
[technical field]
The present invention relates to a kind of investment of knowledge mapping technical field more particularly to knowledge based map in big data letters
Cease object method and device.
[background technique]
Investing tip is that user carries out reference information important when investment configuration, and user is carried out not by reference to investing tip
Investment with investee configures, all kinds of investees such as corporate share, corporate bonds, commodity future including different industries.
In the prior art, investing tip platform be widely used at present web crawlers technology to the collections of all kinds of investing tips and
It saves, then is subject to artificial screening and simple analysis, be supplied to user eventually by software terminal.
Although investing tip platform defines range of information by presetting object search and keyword, from interconnection
The trade investment information collected on the net is still many and more mixed and disorderly, and these investing tips be mostly raw information (not
Processed and quantitative analysis), therefore, the relevance between these investing tips and investee is not high.
[summary of the invention]
In view of this, the embodiment of the invention provides a kind of investee's analysis method of knowledge based map and device,
To solve the not high technology of the relevance between the investing tip that investing tip platform in the prior art provides and investee
Problem.
On the one hand, the embodiment of the invention provides a kind of investee's analysis methods of knowledge based map, comprising: obtains
The identification information of investee；Wherein, the identification information of the investee is for investee described in unique identification；Based on institute
It states identification information and determines keyword and the first kind correlating event with investee described in the keyword search, the first kind
Correlating event has multiple label informations；The second class correlating event is searched according to the label information of the first kind correlating event；
Wherein, the time that the second class correlating event occurs is earlier than the time that the first kind correlating event occurs；It is pushed to user
The first kind correlating event and the second class correlating event.
Optionally, it is also wrapped after the second class correlating event of lookup according to the label information of first correlating event
Include: the various time points occurred based on the second class correlating event inquire corresponding investment price information, and according to it is each when
Between the chronological order put set price variation tendency；The first kind correlating event is analyzed using the price changing trend
The investment value of the investee is influenced.
Optionally, the first kind correlating event is analyzed to the investee using the price changing trend described
Investment value influence after further include: push the first kind correlating event to the investment value of the investee to user
The information of influence.
Optionally, first correlating event has multiple label informations；It is described according to the first kind correlating event
Label information the second class correlating event of lookup includes: the first mark in multiple label informations according to the first kind correlating event
Label information searching equally has the second class correlating event of first label information；Wherein, first label information is more
It is highest with the first kind correlating event correlation in any label information or multiple label informations in a label information
Label information；Or it is searched equally according to whole label informations of the first kind correlating event with whole label informations
The second class correlating event.
Optionally, the various time points occurred based on the second class correlating event inquire corresponding investment price letter
Breath, and include: to obtain each second class correlating event according to the chronological order of various time points variation tendency of setting price
The time point of generation；Inquire the investment price information of corresponding various time points；Investment price information based on various time points with
And the chronological order of various time points is set price variation tendency.
Optionally, described to analyze investment of the first kind correlating event to investee using the price changing trend
Value influence includes: investment valence corresponding with the time point of the second class correlating event occurs according to each second class correlating event
Lattice information determines each second class correlating event to the influence power score value of price changing trend；Based on each influence power score value with
And the label information of corresponding second class correlating event determines first kind correlating event corresponding with the label information to investment
The investment value of object influences.
On the other hand, the embodiment of the invention also provides a kind of investee's analytical equipments of knowledge based map, comprising:
Identification information obtains module, for obtaining the identification information of investee；Wherein, the identification information of the investee is for only
The one mark investee；Keyword determining module, for determining keyword based on the identification information；Correlating event search
Module, for the first kind correlating event of investee described in the keyword search, the first kind correlating event to have
Multiple label informations；The second class correlating event is searched according to the label information of the first kind correlating event；Wherein, described second
The time that class correlating event occurs is earlier than the time that the first kind correlating event occurs；Info push module is used for user
Push the first kind correlating event and the second class correlating event.
In another aspect, the embodiment of the invention also provides a kind of computer equipment, including memory, processor and it is stored in
On the memory and the computer program that can run on the processor, the processor execute the computer program
When, realize investee's analysis method of above-mentioned knowledge based map.
In another aspect, being stored thereon the embodiment of the invention also provides a kind of non-transitorycomputer readable storage medium
There is computer program, the computer program realizes the investee analysis side of above-mentioned knowledge based map when being executed by processor
Method.
Compared with prior art, the technical program at least has the following beneficial effects:
Investee's analysis method of the knowledge based map provided according to embodiments of the present invention, first with investee's
Identification information searches for the event (i.e. first kind correlating event) occurred in the recent period associated with the investee, first kind association
Event has multiple label informations.Then, the history thing that there is the past of same label information to occur is searched based on label information
Part (i.e. the second class correlating event), first kind correlating event and the second class correlating event are all based on the relationship of knowledge spectrogram building
Structure.The first kind correlating event and the second class correlating event are pushed to user, so that user is doing investee's combination ginseng
It examines.
Further, the embodiment of the present invention can also be right at that time according to the time point inquiry that each second class correlating event occurs
The investment price information answered, and then determined within a series of period that second class correlating events occur according to chronological order
Price changing trend, the event (i.e. first kind correlating event) for recycling price changing trend analysis to occur in the recent period is to investee
Investment value influence.The information that first kind correlating event influences the investment value of investee is pushed to user, to be
User is provided more targetedly and by quantitative analysis treated suggestion for investment.
[Detailed description of the invention]
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this field
For those of ordinary skill, without creative efforts, it can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is a kind of process signal of one embodiment of investee's analysis method of knowledge based map of the application
Figure；
Fig. 2 is that a kind of process of another embodiment of investee's analysis method of knowledge based map of the application is shown
It is intended to；
Fig. 3 is a kind of structural representation of the specific embodiment of investee's analytical equipment of knowledge based map of the application
Figure；
Fig. 4 is the structural schematic diagram of computer equipment one embodiment of the application.
[specific embodiment]
For a better understanding of the technical solution of the present invention, being retouched in detail to the embodiment of the present invention with reference to the accompanying drawing
It states.
It will be appreciated that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
Its embodiment, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of process signal of one embodiment of investee's analysis method of knowledge based map of the application
Figure.With reference to Fig. 1, investee's analysis method includes:
Step 101, the identification information for obtaining investee.Wherein, the mark is for investee described in unique identification.
Specifically, the investee is the investment target of user's concern, such as investee includes enterprise shares, debt
The financial products such as certificate, fund.The identification information of the investee is used for unique identification investee, for example, if investee
For enterprise shares, then identification information is stock code or stock name.
It if investee is investment combination, that is, include a variety of financial products such as stock, bond or fund, then investee
Identification information include each financial product in investment combination identification information.For example, if investee is enterprise shares and enterprise
The investment combination of industry bond, then the identification information of the investee be the enterprise shares stock code or stock name and
The bond codes or bond name of corporate bond.
Step 102 determines keyword and based on the identification information with of investee described in the keyword search
A kind of correlating event, the first kind correlating event have multiple label informations.
Specifically, the identification information is the unique identification of investee, determines keyword, the pass based on identification information
Keyword is for searching for first kind correlating event associated with investee.
Determine that the mode of keyword can be any one following mode based on identification information:
1) using identification information as keyword or from identification information intercepting message as keyword.For example, the mark
Knowing information is enterprise shares title " Alibaba ", then using " Alibaba " as keyword；In another example the identification information is
Enterprise shares title " ST Guangzhou electric power " then intercepts " Guangzhou electric power " therein as keyword.
2) according to identification information using corresponding Chinese as keyword.For example, the identification information is stock
Ticket code 60010, Chinese corresponding with 60010 are " Shanghai is electrical ", then " Shanghai is electrical " are used as keyword.
3) multiple keywords can also be determined according to identification information.For example, determining one according to above-mentioned mode 1) and 2)
After keyword, the relational graph of knowledge based map construction also regard other information relevant to the determining keyword as the mark
Know the corresponding keyword of information.For example, determining that a keyword is " Alibaba ", knowledge based map structure according to identification information
The relational graph built can find the relevant informations such as " day cat ", " Alipay ", thus can by " Alibaba ", " day cat " and
" Alipay " is together as keyword.
In practical applications, however it is not limited to which the above-mentioned mode enumerated, those skilled in the art can also use other modes
Keyword is determined based on identification information.
Then, the first kind correlating event of the investee according to one or more determining keyword search.Its
In, the first kind correlating event is event (such as the mistake on the basis of current time occurred in the recent period relevant to investee
Go the event occurred within one week), the first kind correlating event can be a correlating event, be also possible to multiple association things
Part.
Semantic analysis is carried out according to the first kind correlating event, the first kind correlating event has label information,
Wherein the label information is used for the purport content of identified event.For example, first kind correlating event is that " XX company today changes
Shareholder's information in industrial and commercial registration information, A-share east are changed to B shareholder ... ... ", according to semantic analysis, first kind association
The label information of event is " shareholder's change ".If first kind correlating event includes multiple related but different purport contents,
It can also determine that the first kind related information has multiple label informations according to semantic analysis, be respectively used to the difference of identified event
Purport content.
Step 103 searches the second class correlating event according to the label information of the first kind correlating event；Wherein, described
The time that second class correlating event occurs is earlier than the time that the first kind correlating event occurs.
Wherein, the second class correlating event is historical event information relevant to investee, i.e., compared to the first kind
Correlating event, the time that the second class correlating event occurs earlier than time that the first kind correlating event occurs (such as with
Pass by the event occurred within half a year or 1 year on the basis of current time).The second class correlating event can be a pass
Connection event is also possible to multiple correlating events.
The second class correlating event also has label information, the first association thing determined according to above-mentioned steps 102
The label information of part searches the second class correlating event that label information matches therewith.
Specifically, it if the first kind correlating event only includes a label information, is searched and is had according to the label information
There is the second class correlating event of same label information.
If first correlating event has multiple label informations, searched according to the label information of first correlating event
Second class correlating event includes following any mode:
1) it is searched equally according to the first label information in multiple label informations of first correlating event described in having
Second class correlating event of the first label information.
Specifically, for example, being believed according to any one label in multiple label informations of the first kind correlating event
It ceases (as first label information) and searches the second class correlating event equally with the first label information；In another example for described
Then multiple label informations of first kind correlating event can choose the highest label letter of wherein correlation according to relevance ranking
Cease the second class correlating event searched as first label information and equally there is first label information.
2) it is searched equally according to whole label informations of the first kind correlating event with whole label informations
Second class correlating event.
Specifically, compared to above-mentioned 1) by the way of, this mode is to look for the whole with first kind correlating event
The all matched second class correlating event of label information, therefore the second class correlating event and the first kind found in this way
Correlation degree between correlating event is higher.
Step 104 pushes first correlating event and the second correlating event to user.
Specifically, first correlating event and the second correlating event are pushed to user by the display interface of terminal.Example
Such as, it can be selection (user selects recent event) push corresponding correlating event (the i.e. push first kind association based on user
Event).In another example being also possible to push all first kind correlating events and the second class correlating event to user.
Fig. 2 is that a kind of process of another embodiment of investee's analysis method of knowledge based map of the application is shown
It is intended to.With reference to Fig. 2, it is based on Fig. 1 the embodiment described, the method also includes:
Step 105, the various time points occurred based on the second class correlating event inquire corresponding investment price information,
And it sets price variation tendency according to the chronological order of various time points.
Specifically, this step includes:
Step 1051 obtains the time point that each second class correlating event occurs.
Specifically, the temporal information comprising the generation correlating event in each second class correlating event, is associated with from the second class
The temporal information can be intercepted in event, so that it is determined that the time point of the second class correlating event occurs.According to different associations
The content of event, the unit of account that the temporal information of interception is accurate to can be different, such as can be as accurate as the date (2000
October 1) or it is accurate to a certain moment (15:00 on October 1st, 2000) in one day.
Step 1052, the investment price information for inquiring corresponding various time points.
Specifically, the time point occurred according to each of determining second class correlating event inquires each time point pair respectively
The investment price information answered.
Step 1053 is determined based on the investment price information of various time points and the chronological order of various time points
Price changing trend.
Specifically, in practical applications, can using time shaft as horizontal axis, investment price information be the longitudinal axis, according to it is each when
Between the chronological order put draw corresponding investment price information, may thereby determine that based on determined by all time points
Price changing trend in time range.
Step 106 analyzes throwing of the first kind correlating event to the investee using the price changing trend
Provide value influence.
Specifically, this step includes:
Step 1061, according to each second class correlating event with the corresponding throwing of the time point of the second class correlating event occurs
Pricing information is provided, determines each second class correlating event to the influence power score value of price changing trend.
Specifically, each second class correlating event can be determined from price changing trend and the second class correlating event occurs
Time point corresponding investment price information, then determine each second class correlating event to price changing trend using algorithm
Influence power score value.For example, according to time point corresponding investment price information and the time that the second class correlating event occurs
The investment price information at a time point or multiple time points after point compares two investment prices letter of adjacent time point
Investment price variable quantity between breath, and preset influence power score value corresponding to different variable quantity sections, then according to it is adjacent when
Between the section that is fallen into of investment price variable quantity between two investment price information putting determine the second class correlating event pair
The influence power score value of price changing trend.
Do not limit which kind of algorithm used in the present embodiment, those skilled in the art can select according to different application scenarios
Select different algorithms.
Wherein, the influence power score value indicates that generation the second class correlating event is big to the influence power of price changing trend
It is small.For example, the influence power score value may be set in the range of [- 1,1], wherein [- 1,0] indicates the second class correlating event
Price changing trend is played negative effect (investment price being caused to decline), [0,1] indicates the second class correlating event to valence
Lattice variation tendency plays positive influences (investment price being caused to go up).
Step 1062, based on the label information of each influence power score value and corresponding second class correlating event is determining and institute
Stating the corresponding first kind correlating event of label information influences the investment value of investee.
Specifically, each second class correlating event has label information, the influence based on each second class correlating event
Power score value can determine influence of the label information of corresponding second class correlating event to price changing trend.Then, according to
The label information of two class correlating events can be associated with the label information of corresponding first kind correlating event, and then determine corresponding
First kind correlating event influences the investment value of investee.
Step 107 pushes the letter that the first kind correlating event influences the investment value of the investee to user
Breath.
Specifically, the first kind correlating event can be pushed by the way of similar with above-mentioned steps 104 to described
The information that the investment value of investee influences, details are not described herein.
Fig. 3 is a kind of structural representation of the specific embodiment of investee's analytical equipment of knowledge based map of the application
Figure.
With reference to Fig. 3, investee's analytical equipment 3 includes:
Identification information obtains the identification information that module 31 is used to obtain investee；Wherein, the mark of the investee
Information is for investee described in unique identification.Keyword determining module 32 is used to determine keyword based on the identification information.
Correlating event search module 33 is used for the first kind correlating event of investee described in the keyword search, the first kind
Correlating event has multiple label informations；The second class correlating event is searched according to the label information of the first kind correlating event；
Wherein, the time that the second class correlating event occurs is earlier than the time that the first kind correlating event occurs.Information pushes mould
Block 34 is used to push the first kind correlating event and the second class correlating event to user.
Investee's analytical equipment 3 further include: investment price information inquiry module 35 is used to be based on second class
The various time points that correlating event occurs inquire corresponding investment price information, and according to the chronological order of various time points
It sets price variation tendency.Investment value analysis module 36 is used to analyze the first kind using the price changing trend and be associated with
Event influences the investment value of the investee.
Wherein, the info push module 34 is also used to push the first kind correlating event to user to the investment pair
The information that the investment value of elephant influences.
First correlating event has multiple label informations.The correlating event search module 33 is also used to according to
The first label information in multiple label informations of first kind correlating event search equally with first label information the
Two class correlating events；Wherein, first label information is any label information or multiple labels in multiple label informations
In information with the highest label information of first kind correlating event correlation；Or according to the complete of the first kind correlating event
Portion's label information searches the second class correlating event equally with whole label informations.
The investment price information inquiry module 35 includes:
Event acquiring unit 351 is used to obtain the time point that each second class correlating event occurs.
Information query unit 352 is used to inquire the investment price information of corresponding various time points.
Time of the Trend judgement unit 353 for investment price information and various time points based on various time points is first
It sequentially sets price afterwards variation tendency.
The investment value analysis module 36 includes:
Influence power score value determination unit 361 is used for according to each second class correlating event and the second class correlating event occurs
Time point corresponding investment price information, determine each second class correlating event to the influence power score value of price changing trend.
Investment value judging unit 362 is used for the mark based on each influence power score value and corresponding second class correlating event
It signs information and determines that first kind correlating event corresponding with the label information influences the investment value of investee.
Modules in investee's analytical equipment described in the present embodiment, unit specific implementation process can refer to it is upper
The embodiment of literary method part, details are not described herein.
Fig. 4 is the structural schematic diagram of computer equipment one embodiment of the application.
Computer equipment may include memory, processor and be stored on above-mentioned memory and can be on above-mentioned processor
Base provided by the embodiments of the present application may be implemented when above-mentioned processor executes above-mentioned computer program in the computer program of operation
In investee's analysis method of knowledge mapping.
Wherein, above-mentioned computer equipment can be server, such as: Cloud Server, or electronic equipment, such as:
The intelligent electronic devices such as smart phone, smartwatch or tablet computer, specific form of the present embodiment to above-mentioned computer equipment
It is not construed as limiting.
Fig. 4 shows the block diagram for being suitable for the exemplary computer device 12 for being used to realize the application embodiment.Fig. 4 is shown
Computer equipment 12 be only an example, should not function to the embodiment of the present application and use scope bring any restrictions.
As shown in figure 4, computer equipment 12 is showed in the form of universal computing device.The component of computer equipment 12 can be with
Including but not limited to: one or more processor or processing unit 16, system storage 28 connect different system components
The bus 18 of (including system storage 28 and processing unit 16).
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (Industry Standard
Architecture；Hereinafter referred to as: ISA) bus, microchannel architecture (MicroChannel Architecture；Below
Referred to as: MAC) bus, enhanced isa bus, Video Electronics Standards Association (Video Electronics Standards
Association；Hereinafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component
Interconnection；Hereinafter referred to as: PCI) bus.
Computer equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by
The usable medium that computer equipment 12 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (Random Access Memory；Hereinafter referred to as: RAM) 41 and/or cache memory 42.Computer equipment 12
It may further include other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only conduct
Citing, storage system 44 can be used for reading and writing immovable, non-volatile magnetic media, and (Fig. 4 do not show, commonly referred to as " hard disk
Driver ").Although not shown in fig 4, the magnetic for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided
Disk drive, and to removable anonvolatile optical disk (such as: compact disc read-only memory (Compact Disc Read Only
Memory；Hereinafter referred to as: CD-ROM), digital multi CD-ROM (Digital Video Disc Read Only
Memory；Hereinafter referred to as: DVD-ROM) or other optical mediums) read-write CD drive.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 18.Memory 28 may include that at least one program produces
Product, the program product have one group of (for example, at least one) program module, and it is each that these program modules are configured to perform the application
The function of embodiment.
Program/utility 40 with one group of (at least one) program module 52 can store in such as memory 28
In, such program module 52 includes --- but being not limited to --- operating system, one or more application program, other programs
It may include the realization of network environment in module and program data, each of these examples or certain combination.Program mould
Block 52 usually executes function and/or method in embodiments described herein.
Computer equipment 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24
Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 12 communicate, and/or with make
The computer equipment 12 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other calculating equipment
Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 22.Also, computer equipment 12 may be used also
To pass through network adapter 20 and one or more network (such as local area network (Local Area Network；Hereinafter referred to as:
LAN), wide area network (Wide Area Network；Hereinafter referred to as: WAN) and/or public network, for example, internet) communication.Such as figure
Shown in 4, network adapter 20 is communicated by bus 18 with other modules of computer equipment 12.Although should be understood that in Fig. 4 not
It shows, other hardware and/or software module can be used in conjunction with computer equipment 12, including but not limited to: microcode, equipment are driven
Dynamic device, redundant processing unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, such as realize investee's analysis method of knowledge based map provided by the embodiments of the present application.
The embodiment of the present application also provides a kind of non-transitorycomputer readable storage medium, is stored thereon with computer journey
The investment pair of knowledge based map provided by the embodiments of the present application may be implemented in sequence, above-mentioned computer program when being executed by processor
Picture analysis method.
Above-mentioned non-transitorycomputer readable storage medium can appointing using one or more computer-readable media
Meaning combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer can
Reading storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device
Or device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes:
Electrical connection, portable computer diskette, hard disk, random access memory (RAM), read-only storage with one or more conducting wires
Device (Read Only Memory；Hereinafter referred to as: ROM), erasable programmable read only memory (Erasable
Programmable Read Only Memory；Hereinafter referred to as: EPROM) or flash memory, optical fiber, portable compact disc are read-only deposits
Reservoir (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer
Readable storage medium storing program for executing can be any tangible medium for including or store program, which can be commanded execution system, device
Either device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with one or more programming languages or combinations thereof come write for execute the application operation computer
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
It is related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (Local
Area Network；Hereinafter referred to as: LAN) or wide area network (Wide Area Network；Hereinafter referred to as: WAN) it is connected to user
Computer, or, it may be connected to outer computer (such as being connected using ISP by internet).
The term used in embodiments of the present invention is only to be not intended to be limiting merely for for the purpose of describing particular embodiments
The present invention.In the embodiment of the present invention and the "an" of singular used in the attached claims, " described " and "the"
It is also intended to including most forms, unless the context clearly indicates other meaning.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.
Claims (10)
1. a kind of investee's analysis method of knowledge based map characterized by comprising
Obtain the identification information of investee；Wherein, the identification information of the investee is for investment pair described in unique identification
As；
Keyword is determined based on the identification information and with the first kind correlating event of investee described in the keyword search,
The first kind correlating event has multiple label informations；
The second class correlating event is searched according to the label information of the first kind correlating event；Wherein, second class is associated with thing
The time that part occurs is earlier than the time that the first kind correlating event occurs；
The first kind correlating event and the second class correlating event are pushed to user.
2. investee's analysis method of knowledge based map as described in claim 1, which is characterized in that described according to institute
After label information the second class correlating event of lookup for stating the first correlating event further include:
The various time points occurred based on the second class correlating event inquire corresponding investment price information, and according to it is each when
Between the chronological order put set price variation tendency；
Analyzing the first kind correlating event using the price changing trend influences the investment value of the investee.
3. method according to claim 2, which is characterized in that utilize price changing trend analysis described first described
After class correlating event influences the investment value of the investee further include:
The information that the first kind correlating event influences the investment value of the investee is pushed to user.
4. the method as described in claim 1, which is characterized in that the label information according to the first kind correlating event is looked into
The second class correlating event is looked for include:
Being searched according to the first label information in multiple label informations of the first kind correlating event equally has described first
Second class correlating event of label information；Wherein, first label information is any label information in multiple label informations
Or in multiple label informations with the highest label information of first kind correlating event correlation；Or
The second class equally with whole label informations is searched according to whole label informations of the first kind correlating event
Correlating event.
5. method according to claim 2, which is characterized in that it is described based on the second class correlating event occur it is each when
Between point inquire corresponding investment price information, and set price variation tendency packet according to the chronological order of various time points
It includes:
Obtain the time point that each second class correlating event occurs；
Inquire the investment price information of corresponding various time points；
The chronological order of investment price information and various time points based on various time points is set price variation tendency.
6. the method as described in any one of claim 2~5, which is characterized in that described to utilize the price changing trend point
Analyse the first kind correlating event includes: on the influence of the investment value of investee
According to each second class correlating event investment price information corresponding with the time point of the second class correlating event occurs, really
Influence power score value of the fixed each second class correlating event to price changing trend；
Based on the determination of the label information of each influence power score value and corresponding second class correlating event and the label information pair
The first kind correlating event answered influences the investment value of investee.
7. a kind of investee's analytical equipment of knowledge based map characterized by comprising
Identification information obtains module, for obtaining the identification information of investee；Wherein, the identification information of the investee is used
The investee described in unique identification；
Keyword determining module, for determining keyword based on the identification information；
Correlating event search module, for the first kind correlating event of investee described in the keyword search, described
A kind of correlating event has multiple label informations；The second class, which is searched, according to the label information of the first kind correlating event is associated with thing
Part；Wherein, the time that the second class correlating event occurs is earlier than the time that the first kind correlating event occurs；
Info push module, for pushing the first kind correlating event and the second class correlating event to user.
8. device as claimed in claim 7, which is characterized in that further include:
Investment price information inquiry module, the various time points inquiry for being occurred based on the second class correlating event are corresponding
Investment price information, and set price variation tendency according to the chronological order of various time points；
Investment value analysis module, for analyzing the first kind correlating event to the investment using the price changing trend
The investment value of object influences.
9. a kind of computer equipment, which is characterized in that including memory, processor and be stored on the memory and can be in institute
The computer program run on processor is stated, when the processor executes the computer program, is realized as in claim 1-6
Any method.
10. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the meter
Such as method as claimed in any one of claims 1 to 6 is realized when calculation machine program is executed by processor.
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