Information processing device, information processing method, and computer program

Abstract

The information processing device comprises: a first keyword extraction unit for extracting a first keyword from business content of a first enterprise; a growth score calculation unit which calculates a growth score of the business content based on the first keyword; and a determination unit that determines, on the basis of the growth score, whether or not investment to the first enterprise should be made.

Description

Technical Field

[0001] The present invention relates to an information processing device, an information processing method and a computer program. Background Art

[0002] In recent years, large companies and other investment companies have begun to invest in start-ups. In the investment plan, for example, patent rights are used as investment targets, and the investment company owns the patent rights. When the start-up grows and becomes stronger, the investment company transfers or licenses the patent rights to the investment company, thereby recovering the investment. In such a plan, it is important for the investment company and the start-up to properly evaluate the value of the patent.

[0003] Various technologies have been disclosed as technologies for evaluating the value of patents. Patent Document 1 discloses a technology for evaluating the value of patent assets by performing a ranking based on the history of patent rights and technical information, and performing a regression analysis of the asset value of a company and the patent power. Patent Document 2 discloses a technology for determining whether a patent covers the business scope of a licensed object so that both the patentee and the licensee can obtain benefits.

[0004] Prior art literature

[0005] Patent Literature

[0006] Patent Document 1: Japanese Patent Application Publication No. 2017-068373

[0007] Patent Document 2: Japanese Patent Application Publication No. 2009-064246 Summary of the invention

[0008] Problems to be solved by the invention

[0009] However, when financial institutions and business companies recover their investments by transferring intellectual property rights such as patents, they need to consider the growth potential of future businesses and clarify whether to invest in the acquisition of start-up patents. The conventional mechanism shown above does not take into account the growth potential of the business.

[0010] The present invention has been made in view of such circumstances, and an object of the present invention is to appropriately evaluate the growth potential of a business.

[0011] Solutions for solving problems

[0012] In order to achieve the above-mentioned purpose, one scheme of the present invention is an information processing device, comprising: a first keyword extraction unit, which extracts a first keyword from the business content of a first enterprise; a growth score calculation unit, which calculates the growth score of the business content based on the first keyword; and a judgment unit, which judges whether investment in the first enterprise should be made based on the growth score.

[0013] Effects of the Invention

[0014] According to the present invention, the growth potential of business can be appropriately evaluated. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a diagram showing the outline of this embodiment.

[0016] Figure 2 This is a diagram schematically showing the configuration of an evaluation system.

[0017] Figure 3 This is a block diagram showing the hardware configuration of the server.

[0018] Figure 4 This is a functional block diagram showing an example of the functional configuration of a server.

[0019] Figure 5 This is a flowchart showing an example of the evaluation process.

[0020] Figure 6 This is a diagram showing an example of a table used in the evaluation process.

[0021] Figure 7 This is a flowchart showing an example of the evaluation process.

[0022] Figure 8 This is a diagram showing an example of a table used in the evaluation process. DETAILED DESCRIPTION

[0023] (Implementation Method)

[0024] <Outline>

[0025] Hereinafter, this embodiment will be described using the drawings.

[0026] Figure 1 This is a diagram showing an example of business growth evaluation applied by the information processing device of this embodiment. In this embodiment, an evaluation system for simulating the business contribution generated by the assignment, transfer, and license of patent rights owned by a specified enterprise is described. That is, the evaluation system of this embodiment supports the appropriate recovery of investment funds when an investment enterprise invests in a start-up enterprise.

[0027] As mentioned above, in recent years, large companies and other investment companies have begun to invest in startups. The investment company's purpose is to develop businesses related to capital gains / income gains and innovation through investment in startups. For example, in a business company (invested company), when the startup grows and the investment company and the startup have business synergies, it is also possible to consider internalizing the startup through mergers and acquisitions (M&A).

[0028] Generally, investment in start-ups is often made by acquiring shares, but this may be difficult to acquire due to relationships with other investment companies. In addition, due to changes in the start-up's capital strategy caused by the participation of new capital providers, it is impossible to maintain the relationship with the start-up that was envisioned when the investment was made.

[0029] In this case, there is a way to invest in the acquisition of patent rights for start-ups. In start-ups, obtaining patent rights in the early stages of technology development is also important for maintaining competitiveness in the future. However, especially in terms of the acquisition of patent rights, it takes time and cost to extract from research and development to invention. In addition, when applying for and obtaining multiple patent rights, the maintenance costs will also be high.

[0030] Therefore, when a funding company that invests in a startup company takes care of the startup company's initial patent acquisition and maintenance costs, or conducts joint research, it can also join the applicants. In addition, when the startup company grows and expands, the funding company can obtain profits by transferring the previously acquired or obtained patents to the startup company, so the investment funds can be properly recovered.

[0031] exist Figure 1 In the example, it is necessary to determine whether the investing company should handle and obtain the patent rights of the start-up company, or whether it should transfer the patent (determination of patent application).

[0032] In addition, it is determined whether the patents held by the investment enterprise should be transferred or licensed (determination of transfer and license).

[0033] In this embodiment, a start-up is a company that has just been established and has insufficient funds and needs to receive investment. It should be noted that it is not limited to this, as long as it is a party that receives investment, it can be a large enterprise, a sole proprietor, an individual, etc.

[0034] The investment enterprise is a company with sufficient funds, etc., and is an enterprise that invests in the above-mentioned start-up companies, etc. For example, as an investment enterprise, large enterprises, investment companies, investment departments of banks, corporate venture capital (Corporate Venture Capital) of business companies, etc. can be listed. In addition, as an investment enterprise, for example, professional firms (law firms, accounting firms, tax firms, patent firms, etc.) can be listed. It should be noted that it is not limited to legal persons, and can also be individual operators, individuals, etc.

[0035] <System Configuration>

[0036] Figure 2 The diagram is a diagram showing an overview of the system configuration of the evaluation system of the present embodiment. The evaluation system of the present embodiment is composed of a server 1 for processing, a startup terminal 2 operated by a person in charge of a startup, and an investment company terminal 3 operated by a person in charge of an investment company, which are connected to each other via a predetermined network N such as the Internet.

[0037] The server 1 executes various processes in cooperation with the operations of the startup terminal 2 and the investment company terminal 3 .

[0038] <Hardware Configuration>

[0039] Figure 3 This is a block diagram showing the hardware configuration of the server 1 of the present embodiment. The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20.

[0040] The CPU 11 executes various processes by using a program recorded in the ROM 12 or a program loaded from the storage unit 18 into the RAM 13. The RAM 13 also appropriately stores data and the like necessary for the CPU 11 to execute various processes. The CPU 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. The bus 14 is also connected to an input / output interface 15.

[0041] The input / output interface 15 is connected to an output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a driver 20. The output unit 16 is composed of a display, a speaker, etc., and outputs various information in the form of images and sounds. The input unit 17 is composed of a keyboard, a mouse, etc., and inputs various information. The storage unit 18 is composed of a hard disk, a DRAM (Dynamic Random Access Memory), etc., and stores various data. The communication unit 19 communicates with other devices via a network N including the Internet.

[0042] A removable medium 21 composed of a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is appropriately mounted on the drive 20. A program read from the removable medium 21 by the drive 20 is installed in the storage unit 18 as needed. In addition, the removable medium 21 can store various data stored in the storage unit 18 in the same manner as the storage unit 18.

[0043] It should be noted that, although not shown in the figure, the startup enterprise terminal 2 and the investment enterprise terminal 3 have Figure 3 The hardware configuration shown is the same hardware configuration.

[0044] <Functional structure>

[0045] Figure 4 This is a functional block diagram showing an example of the functional configuration of the server 1 according to the present embodiment.

[0046] In the CPU 11 of the server 1 , when in operation, the acquisition unit 31 , the extraction unit 32 , the conversion unit 33 , the analysis unit 34 , the score calculation unit 35 , the determination unit 36 ​​, the output unit 37 and the like function.

[0047] The acquisition unit 31 acquires the business details of the start-up company (first company) during the determination of the patent application.

[0048] For example, the acquisition unit 31 acquires business plan data from the startup terminal 2. The acquired business plan is stored in the business plan DB 41. It should be noted that the business plan may also be processed later using the content stored in the business plan DB 41 in advance.

[0049] Furthermore, the acquisition unit 31 acquires patent information held by the investment company (second company) that has invested in the startup company in the determination of the transfer permission. For example, the acquisition unit 31 acquires patent information stored in the owned patent DB 45.

[0050] As the patent information, for example, data on patents held by the investment company can be cited. In the present embodiment, the patent information is stored in the patent information DB 44.

[0051] The extraction unit 32 extracts business keywords (first keywords) from the above-mentioned business content of the start-up company in the judgment of the patent application. The method of extracting business keywords is not particularly limited. In this embodiment, words that are consistent with or similar to the keywords are extracted from words extracted by performing various natural language processing, etc. based on the table stored in the keyword DB 42.

[0052] It should be noted that, in the keyword DB 42 , for example, predetermined business fields and trend keywords acquired by crawling or scraping web page information on the Internet are stored in correspondence and updated appropriately.

[0053] In addition, the extraction unit 32 extracts technical keywords (second keywords) from the above-mentioned patent information in the determination of the transfer permission. The method of extracting technical keywords is not particularly limited, and words related to general technology can be extracted from words extracted by performing various natural language processing.

[0054] In addition, the extraction unit 32 extracts business progress keywords (third keywords) from the business performance information of the startup in the determination of the transfer permission. The method of extracting business progress keywords is not particularly limited, and words related to general business can be extracted from words extracted by performing various natural language processing, etc.

[0055] Business performance information is information related to the actual performance of the startup's business plan. For example, annual business reports, reports to investors, investor relations (IR: investor relationship) information, securities reports, etc. can be listed as business performance information. When the business plan is revised, the information containing the revised content is equivalent to the business performance information.

[0056] It should be noted that the work performance information may be acquired by the acquisition unit 31 described above, or the content pre-stored in the storage unit 18 (eg, the work performance DB 46 ) may be used.

[0057] It should be noted that the various extracted keywords are assumed to be stored in the keyword DB 42 .

[0058] The conversion unit 33 converts business keywords into patent classification codes in the determination of patent applications.

[0059] For example, the conversion unit 33 converts the business keyword into a patent classification code by referring to the keyword DB 42 and the patent classification code DB 43. Specifically, the conversion unit 33 extracts the business field from the business keyword and converts it into a patent classification code corresponding to the business field.

[0060] It should be noted that, in the patent classification code DB 43, for example, a predetermined business field and a patent classification code (for example, an IPC code) corresponding to the business field are stored in correspondence and updated as appropriate.

[0061] It should be noted that the conversion unit 33 may also use a predetermined patent information search website to convert the information into a patent classification code corresponding to a word that is consistent with or similar to the business keyword.

[0062] In the judgment of patent applications, the analysis unit 34 analyzes patent applications related to business keywords based on business keywords and patent classification codes. For example, the analysis unit 34 analyzes the growth rate, registration rate, and citation rate of the number of patent applications (overall) related to business keywords. It should be noted that the analysis unit 34 can also analyze content other than the above-mentioned growth rate, registration rate, and citation rate.

[0063] The growth rate indicates the growth rate of the number of patent applications related to a specified business field in the overall population.

[0064] The registration rate indicates the proportion of successful patents in the population that are related to a specified business area.

[0065] The citation rate indicates the proportion of patent documents related to a predetermined business field that are cited by other patent documents (cited as prior art documents) in the total number of patent documents.

[0066] It should be noted that, as the patent classification code, for example, an IPC code may be used. The analysis unit 34 may search the patent database, for example, and check changes in the number of patent applications for each IPC code (or for each business field).

[0067] The score calculation unit 35 calculates the growth score of the business content based on the business keywords in the determination of the patent application.

[0068] For example, the score calculation unit 35 scores the above analysis results using a predetermined coefficient (for details, see Figure 6 A~ Figure 6 (E will be described later). In addition, for example, the score calculation unit 35 may also use a classifier (AI, etc.) generated by machine learning, etc., to calculate the growth score based on the acquired business keywords.

[0069] In addition, the score calculation unit 35 calculates the matching score of the technical keyword and the business progress keyword in the determination of the transfer permission. For example, the score calculation unit 35 calculates the matching score (matching rate) based on the degree of repetition between the technical keyword and the business progress keyword for each business (for details, use Figure 8 A~ Figure 8B will be described later).

[0070] The judgment unit 36 ​​judges whether to invest in the start-up (e.g., to pay for the acquisition and maintenance of patent rights) based on the above growth score in the judgment of the patent application. For example, the judgment unit 36 ​​judges that the start-up should be invested in when the growth score is above a predetermined threshold.

[0071] In addition, the judgment unit 36 ​​judges whether the patent held by the investment enterprise should be transferred or licensed in the judgment of the transfer license. For example, when the matching score is above a predetermined threshold, the judgment unit 36 ​​judges that the patent held by the investment enterprise should be transferred or licensed. It should be noted that the judgment unit 36 ​​may also judge that the patent should be licensed when the current or future business content of the investment enterprise overlaps with the business content of the start-up enterprise, and judge that the patent should be transferred when there is no overlap.

[0072] The output unit 37 outputs the above-mentioned determination result to the investment enterprise terminal 3. For example, when the above-mentioned matching score is greater than a predetermined value, the output unit 37 outputs the corresponding patent information to the investment enterprise terminal 3 as a transfer candidate.

[0073] In addition, Figure 4 The storage unit 18 of the server 1 shown in the figure includes a business plan DB 41 , a keyword DB 42 , a patent classification code DB 43 , a patent information DB 44 , a patent holding DB 45 , a business performance DB 46 , and the like.

[0074] <Processing Content>

[0075] <<Judgment and processing of patent applications>>

[0076] Figure 5 This is a diagram showing an example of the determination process of the patent application according to the present embodiment.

[0077] In step S11 , the extraction unit 32 extracts business keywords related to the business field from the business plan of the startup.

[0078] In step S12, the conversion unit 33 converts the business keyword into a patent classification code. For example, the conversion unit 33 may convert the business keyword into a patent classification code using a table described later.

[0079] In step S13 , the analyzing unit 34 analyzes the growth rate of the number of applications, the registration rate, the citation rate, and the like of the patent applications (in general) related to the business keyword.

[0080] In step S14 , the analyzing unit 34 searches for patent information based on the business keyword and the patent classification code, and analyzes the tendency of patent applications related to the business keyword based on the search results.

[0081] In step S15 , the score calculation unit 35 calculates a growth potential score (growth potential of business=expected degree of return on investment) based on the analysis result.

[0082] In step S16, the determination unit 36 ​​determines the policy of the patent application based on the growth potential score (expectation). For example, the determination unit 36 ​​determines whether to pay for the acquisition and maintenance costs of the patent rights of the startup company.

[0083] Figure 6 A~ Figure 6 FIG. E is a diagram showing an example of a table used in the judgment process of a patent application.

[0084] Figure 6 A is an example of a table that establishes a correspondence between business areas (businesses) and keywords. In this embodiment, Figure 6 The table shown in A is assumed to be stored in the keyword DB 42. Figure 6 As described above, the keywords shown in A are trend keywords obtained by crawling or grabbing web page information on the Internet and are updated appropriately. Figure 6 In A, there is shown an example of extracting "care for the elderly", "prevention of dementia", and "communication terminal with family members" as business fields based on keywords such as "care", "dementia", and "communication" corresponding to business keywords.

[0085] Figure 6 B is an example of a table that establishes a correspondence between business fields and patent classification codes. In this embodiment, Figure 6 The table shown in B is stored in patent classification code DB43. Figure 6 B shows an example in which "G06Q0 / 22" or the like which is a patent classification code corresponding to the above-mentioned business field is extracted.

[0086] Figure 6 C is a table showing an example of the analysis results (growth rate, registration rate, citation rate, and comprehensive) for each business field. Figure 6 In C, an example of analyzing the growth rate, registration rate, citation rate, and the synthesis (total value) of each business field when comparing the patent documents (overall) corresponding to the above-mentioned patent classification code in a specified period is shown. It should be noted that the specified period is not particularly limited, and for example, it can be set as a comparison between the most recent five years and the five years before that.

[0087] Figure 6 D is a table showing an example of analysis results obtained by multiplying the above-mentioned analysis results (for example, the above-mentioned synthesis) by a predetermined coefficient. Figure 6 The comprehensive value in D is output as the above-mentioned growth score. Here, the coefficient can be pre-set according to the importance of the business (business field) from the perspective of the investing enterprise, or can be determined according to the number and frequency of extracted keywords when performing the above-mentioned crawling, etc.

[0088] Figure 6 The E in FIG. 1 is an example of expressing the judgment result of the expectation of the patent application in three stages using the specified threshold value. Figure 6 In the example shown in E of FIG. 1 , the determination result is shown using predetermined threshold values ​​Th1 (eg, 50) and Th2 (eg, 20).

[0089] For example, when the comprehensive value is greater than the threshold value Th1, the judgment unit 36 ​​may judge that the patent application level is "positive", that is, investment should be made.

[0090] In addition, for example, when the comprehensive value is below the threshold value Th1 and above the threshold value Th2, the judgment unit 36 ​​may judge that the patent application level is "normal", that is, it cannot judge whether to invest or not.

[0091] Furthermore, for example, when the comprehensive value is less than the threshold value Th2, the judgment unit 36 ​​may judge that the patent application level is "negative", that is, no investment should be made.

[0092] 《Determination and processing of transfer permission》

[0093] Figure 7 This is a diagram showing an example of the determination process of transfer permission according to the present embodiment.

[0094] In step S21 , the acquisition unit 31 acquires patent information (patent list) held by the investment company.

[0095] In step S22 , the extracting unit 32 extracts technical keywords related to the patent based on the patent information.

[0096] In step S23 , the extraction unit 32 extracts business progress keywords of the startup.

[0097] In step S24 , the score calculation unit 35 calculates the degree of matching between the technical keyword and the business progress keyword.

[0098] In step S25, the determination unit 36 ​​determines whether the degree of matching is equal to or greater than a predetermined threshold value. If it is equal to or greater than the predetermined threshold value, the process proceeds to step S26, and otherwise, the process proceeds to step S22.

[0099] In step S26, the determination unit 36 ​​determines that the patent held by the investment enterprise should be transferred. Furthermore, the determination unit 36 ​​stores the patents related to the technical keywords as transfer candidates in a predetermined storage unit.

[0100] Figure 8 A~ Figure 8 B is a diagram showing an example of a table used in the determination process of transfer permission.

[0101] Figure 8 A shows an example of the technical keywords of the investment enterprise (here, the application keywords), the business progress keywords of the start-up enterprise (keywords of the business status), and the matching rate (matching score) of each keyword in each specified business. Figure 8 In the example of A, it is shown that the business field of "care for the elderly" has not yet been developed due to the business progress of the startup. In addition, in the business field of "dementia prevention", all the keywords (three keywords) are consistent, so the matching rate is 100%. Moreover, in the business field of "communication terminal with family members", only one of the keywords (three keywords) is consistent, so the matching rate is 33%.

[0102] Figure 8 B is an example of using a predetermined threshold to express the result of judging whether or not a patent transfer is permitted in two stages. Figure 8 In the example shown in B, the determination result is shown using a predetermined threshold value Th3 (eg, 30).

[0103] For example, when the matching degree is greater than the threshold value Th3, the judgment unit 36 ​​may judge that the patent transfer is “okay”, that is, the transfer should be carried out.

[0104] In addition, for example, when the matching degree is less than the threshold value Th3, the judgment unit 36 ​​may judge that the patent transfer is "not allowed", that is, the transfer should not be carried out.

[0105] <Beneficial Effects of the Present Embodiment>

[0106] According to the above-described embodiment, the growth potential of the business of a startup can be appropriately evaluated.

[0107] Furthermore, according to the above-mentioned implementation method, even if the business content is in an uncertain state, a start-up company can actively patent its own technology (or apply for a patent) without the company having to bear any funds. This can achieve similar effects to the stock transfer that has been carried out in the past, but unlike the stock transfer, as a start-up company, it can receive support from the investment company without being affected by the investment company's business policy.

[0108] Furthermore, according to the above-mentioned embodiment, the investing company can negotiate with the startup company in a manner that is advantageous to the company when the startup company grows and develops in exchange for paying the application fee of the startup company.

[0109] An embodiment of the present invention has been described above, but the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope that can achieve the object of the present invention are also included in the present invention.

[0110] (Variation Example)

[0111] In the above-mentioned embodiment, an example is described in which both the determination of patent application and the determination of transfer permission are performed, but the present invention is not limited to this, and only one of them may be performed.

[0112] In the above embodiments, the investment enterprise and the start-up enterprise are described as one company, but one or both of them may be multiple companies. For example, it is conceivable that multiple companies support the start-up enterprise as investment enterprises, or that one investment enterprise supports multiple start-ups.

[0113] In the above-mentioned embodiments, examples of application, transfer, and license of invention patent rights are described, but the invention is not limited thereto, and other intellectual property rights such as utility model patent rights, trademark rights, and design patent rights, or their combinations may also be taken as objects. In addition, in addition to patent rights, the judgment, transfer, and implementation of licenses of the value obtained by combining data, software, and works owned by the enterprise may also be taken as objects.

[0114] (other)

[0115] In addition, for example, the above series of processes can be executed by hardware or by software. In other words, the above functional configuration is only shown as an example and is not particularly limited. That is, as long as the information processing system has the function of executing the above series of processes as a whole, what kind of functional blocks to use to achieve the function is not particularly limited to the above example. In addition, the location of the functional block is not particularly limited and can be arbitrary. For example, the functional block of the server can be transferred to other devices, etc. Conversely, the functional blocks of other devices can be transferred to the server, etc. In addition, a functional block can be composed of a hardware unit, a software unit, or a combination of them.

[0116] When a series of processes are performed by software, the program constituting the software is installed from a network or a recording medium to a computer, etc. The computer may be a computer embedded in dedicated hardware. In addition, the computer may be a computer capable of executing various functions by installing various programs, such as a general-purpose smart phone or personal computer in addition to a server.

[0117] The recording medium including such a program is constituted not only by a removable medium (not shown) provided separately from the device body in order to provide the program to the user, etc., but also by a recording medium provided to the user, etc. in a state of being pre-embedded in the device body, etc. Since the program can be distributed via a network, the recording medium may be a recording medium that can be mounted on a computer that is connected to or can be connected to the network, or a recording medium that can be accessed.

[0118] It should be noted that, in this specification, the steps of a program recorded in a recording medium include not only processing performed in a time-sequential manner in accordance with the order, but also processing that is not necessarily processed in a time-sequential manner but is executed in parallel or independently. In addition, in this specification, the term system refers to an overall device composed of multiple devices, multiple units, etc.

[0119] In other words, the information processing device to which the present invention is applied can adopt various embodiments having the following configurations.

[0120] That is, (1) an information processing device comprising: a first keyword extraction unit (extraction unit 32), which extracts a first keyword from the business content of a first enterprise; a growth score calculation unit (score calculation unit 35), which calculates the growth score of the business content based on the first keyword; and a judgment unit (judgment unit 36), which judges whether investment in the first enterprise should be made based on the growth score.

[0121] In addition, (2) may also include: a conversion unit (conversion unit 33) for converting the first keyword into a patent classification code; and an analysis unit (analysis unit 34) for analyzing patent applications related to the patent classification code, wherein the growth score calculation unit calculates the growth score of the business content based on the analysis result of the analysis unit.

[0122] Furthermore, (3) may be that the analyzing unit calculates at least one of a growth rate, a registration rate, and a citation rate of patent applications related to the first keyword.

[0123] In addition, (4) may be further provided with: a patent information acquisition unit (acquisition unit 31) for acquiring patent information held by a second enterprise that has invested in the first enterprise; a second keyword extraction unit (extraction unit 32) for extracting a second keyword from the patent information; a third keyword extraction unit (extraction unit 32) for extracting a third keyword from the actual business performance information of the first enterprise; a matching score calculation unit (score calculation unit 35) for calculating a matching score between the second keyword and the third keyword; and an output unit (output unit 37) for outputting the corresponding patent information as a transfer candidate when the matching score is greater than a specified value.

[0124] Furthermore, (5) the matching score calculation unit may calculate the matching score based on the degree of overlap between the second keyword and the third keyword for each predetermined business field.

[0125] In addition, one scheme of the present invention is (6) a control method for an information processing device, in which a computer executes the following steps: a first keyword extraction step, extracting a first keyword from the business content of a first enterprise; a growth score calculation step, calculating the growth score of the business content based on the first keyword; and a judgment step, judging whether an investment in the first enterprise should be made based on the growth score.

[0126] In addition, one scheme of the present invention is (7) a computer program for executing the following steps through a computer: a first keyword extraction step, extracting a first keyword from the business content of a first enterprise; a growth score calculation step, calculating the growth score of the business content based on the first keyword; and a judgment step, judging whether an investment in the first enterprise should be made based on the growth score.

[0127] Description of Reference Numerals

[0128] 1: Server; 2: Start-up enterprise terminal; 3: Investor enterprise terminal; 11: CPU; 18: Storage unit; 19: Communication unit; 31: Acquisition unit; 32: Extraction unit; 33: Conversion unit; 34: Analysis unit; 35: Score calculation unit 36: Judgment unit; 37: Output unit; 41: Business plan DB; 42: Keyword DB; 43: Patent classification code DB; 44: Patent information DB; 45: Patent holding DB; 46: Business actual performance DB.

Claims

1. An information processing device, comprising: A first keyword extraction unit extracts a first keyword from the business content of the first enterprise; a growth score calculation unit, which calculates the growth score of the business content based on the first keyword; as well as A judgment unit is configured to judge whether to invest in the first enterprise based on the growth score.

2. The information processing device according to claim 1, further comprising: a conversion unit, converting the first keyword into a patent classification code; and An analysis unit, analyzing patent applications related to the patent classification code, The growth score calculation unit calculates the growth score of the business content based on the analysis result of the analysis unit.

3. The information processing device according to claim 2, wherein: The analyzing unit calculates at least one of a growth rate, a registration rate, and a citation rate of patent applications related to the first keyword.

4. The information processing device according to claim 1, further comprising: A patent information acquisition unit, which acquires patent information held by a second enterprise that has invested in the first enterprise; A second keyword extraction unit, extracting a second keyword from the patent information; A third keyword extraction unit extracts a third keyword from the actual business performance information of the first enterprise; a matching score calculation unit, which calculates a matching score between the second keyword and the third keyword; as well as The output unit outputs the corresponding patent information as a transfer candidate when the matching score is greater than a specified value.

5. The information processing device according to claim 4, wherein: The matching score calculation unit calculates the matching score based on the degree of overlap between the second keyword and the third keyword for each predetermined business field.

6. A method for controlling an information processing device, wherein a computer performs the following steps: A first keyword extraction step of extracting a first keyword from the business content of the first enterprise; A growth score calculation step, calculating the growth score of the business content based on the first keyword; as well as A judgment step is performed to judge whether investment in the first enterprise should be made based on the growth score.

7. A computer program for executing the following steps by means of a computer: A first keyword extraction step of extracting a first keyword from the business content of the first enterprise; A growth score calculation step, calculating the growth score of the business content based on the first keyword; as well as A judgment step is performed to judge whether investment in the first enterprise should be made based on the growth score.

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