JP4550996B2 - Content evaluation apparatus, evaluation method, and recording medium - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention evaluates various contents, for example, patent information, new product information, copyrighted work information such as works of art and novels, etc., and then evaluates the content evaluation device, evaluation method, and evaluation result to the public. The present invention relates to an acquisition method and a recording medium.
[0002]
[Prior art]
For example, published patent information is published on the JPO homepage and the like. Specifically, the patent gazette is disclosed as image data or text data as it is, and various searches are possible by operation from a terminal computer, and the claims and detailed description of the invention, etc. It is also possible to display by item.
[0003]
[Problems to be solved by the invention]
However, the above-described data on patent information merely displays all or part of the text published in the patent gazette, regardless of which display method is selected. Therefore, in order to understand the contents published in the patent gazette, it is necessary to read the sentence fairly precisely, and if it is read by a person who is not familiar with it, it takes time to understand correctly. There's a problem.
[0004]
The patent gazette discloses important technical information. Depending on the reader, not only the information disclosed in the gazette but also new technical developments and new uses not disclosed are conceived. However, readers with such a high level are limited, and a general reader needs considerable experience and knowledge to reach such a high level. Therefore, even if a patent gazette is disclosed, it is desired not to disclose it as it is but to process and disclose it in a format and contents that can be understood by a general reader in a relatively short time.
[0005]
Moreover, such needs are not limited to patent information. Various information that requires specialized knowledge for accurate understanding, such as new product information and information on copyrighted works such as works of art, are also used when released in this way. The value is expected to be very high.
[0006]
On the other hand, it is very time-consuming to request a limited expert to analyze each of the above information and to post the evaluations sent by the expert one by one for each piece of information. .
[0007]
  The present invention has been made in view of the above circumstances, and the contents of evaluation sentences received from content evaluators can be analyzed and integrated using a computer, and the contents are summarized in a format and contents that are easy to understand. Content evaluation device that can create and publish an evaluation model as processing information while maintaining a certain level or more, evaluation methodLawAnd providing a recording medium.
[0008]
[Means for Solving the Problems]
  In order to solve the above-mentioned problem, the content evaluation apparatus according to the first aspect of the present invention provides an evaluation sentence storage file for storing an evaluation sentence for content to be evaluated and a designation in which a designated evaluator designated in advance is registered. From a computer with a storage device that records the evaluator database.RuA content evaluation device,
  in frontA designated evaluator detecting means for detecting an evaluation sentence created by a designated evaluator registered in the designated evaluator database from the evaluation sentences accumulated in the written evaluation sentence accumulation file;
  A first evaluation model creating means for creating an evaluation model by attaching an item name to each item and separating the evaluation sentence relating to the creation of the designated evaluator detected by the designated evaluator detecting means;
  Among the evaluation sentences stored in the evaluation sentence storage file, after separating the evaluation sentences related to the evaluators other than the designated evaluators that are not detected by the designated evaluator detecting means, with item names for each item, In contrast to the evaluation model created by the first evaluation model creating means, an evaluation sentence related to an evaluator other than the designated evaluator is adopted based on the consistency, similarity and / or dissimilarity of the words used. A general evaluation sentence judging means for judging whether or not the possible range;
  The contents of the item name assigned to each item of the evaluation sentence determined to be within the range that can be adopted by the general evaluation sentence judging means and the item name for each item of the evaluation model created by the first evaluation model creating means A second evaluation model creating means for creating a new evaluation model by integrating the contents with
  A term corresponding to a predetermined evaluation index is detected from the evaluation model created by the first evaluation model creating unit or the second evaluation model creating unit, and the significance of the term is determined from the use state of the detected term. Judgment is made as to whether it is worth attaching an evaluation index corresponding to the term by judging the degree or by judging whether the frequency of appearance of the detected term is greater than or equal to a predetermined value. An evaluation index giving means for giving the evaluation index to the evaluation model;
  An evaluation result output means for outputting, as an evaluation result, an evaluation model to which an evaluation index is attached by the evaluation index providing means;
It is characterized by comprising.
[0009]
  A content evaluation apparatus according to a second aspect of the present invention is the content evaluation apparatus according to the first aspect,When there are a plurality of evaluation sentences related to the creation of the designated evaluator detected by the designated evaluator detecting means, the first evaluation model creating means classifies each evaluation sentence with an item name for each item. After that, create an evaluation model by integrating the contents with item names for each item in each evaluation sentence.It is characterized by that.
[0010]
  The content evaluation apparatus according to claim 3 of the present invention is the content evaluation apparatus according to claim 1 or 2, wherein an evaluation sentence relating to creation of an evaluator other than the designated evaluator is generated by the general evaluation sentence determination means. Designated evaluator selection means for registering the evaluator as the designated evaluator in the evaluator database when the number of adopted times exceeds the designated numberHaveIt is characterized by that.
[0011]
A content evaluation apparatus according to a fourth aspect of the present invention is the content evaluation apparatus according to any one of the first to third aspects, wherein the content to be evaluated is a database relating to any publicly disclosed content. It is selected from.
[0012]
  The content evaluation apparatus according to the present invention as set forth in claim 5 is characterized in that claims 1 to3The content evaluation apparatus according to any one of the above, wherein the content to be evaluated is transmitted from a terminal computer of a content provider.
[0013]
  A content evaluation apparatus according to a sixth aspect of the present invention is the content evaluation apparatus according to any one of the first to fifth aspects, wherein the evaluation sentenceButIt is transmitted from the evaluator's terminal computer.
[0014]
  A content evaluation apparatus according to a seventh aspect of the present invention is the content evaluation apparatus according to any one of the first to sixth aspects,In the storage device,Evaluation result database accessible via communication lineIs recorded, and the evaluation result output by the evaluation result output means is recorded in the evaluation result database.It is characterized by that.
[0015]
  The content evaluation apparatus according to the present invention described in claim 8 is the content evaluation apparatus according to claim 7, wherein the evaluation result database is, PlaceIt is provided so as to be searchable in order to obtain a desired evaluation result.
[0016]
  The content evaluation method of the present invention according to claim 9 stores an evaluation sentence accumulation file for accumulating an evaluation sentence for the contents to be evaluated and a designated evaluator database in which a designated evaluator designated in advance is registered. Computer with storage deviceBy content evaluation device consisting ofA content evaluation method,
  An evaluation sentence created by a designated evaluator registered in the designated evaluator database is detected from the evaluation sentences accumulated in the evaluation sentence accumulation file.FingerA regular evaluator detection step;
  An evaluation model is created by attaching an item name to each item of the evaluation sentence related to the creation of the designated evaluator detected by the designated evaluator detection step.First1 evaluation model creation step;
  Among the evaluation sentences stored in the evaluation sentence storage file, after separating the evaluation sentences related to the evaluators other than the designated evaluators that were not detected by the designated evaluator detection step, with item names for each item, In contrast to the evaluation model created in the first evaluation model creation step, an evaluation sentence related to an evaluator other than the designated evaluator is adopted based on the consistency, similarity and / or dissimilarity of the words used. Determine whether it is within the possible rangeRuichiGeneral evaluation sentence judgment step,
  The contents of the item name assigned to each item of the evaluation statement determined to be within the employable range by the general evaluation statement determining step and the item name for each item of the evaluation model created by the first evaluation model creating step Create a new evaluation model by integrating the contents withFirst2 evaluation model creation steps;
  A term corresponding to a predetermined evaluation index is detected from the evaluation model created by the first evaluation model creation step or the second evaluation model creation step, and the significance of the term is determined from the use state of the detected term. Judgment is made as to whether it is worth attaching an evaluation index corresponding to the term by judging the degree or judging whether the frequency of appearance of the detected term is greater than or equal to a predetermined value. Assign an evaluation index to an evaluation modelCommentA price index assignment step,
  The evaluation model to which the evaluation index is attached in the evaluation index giving step is output as an evaluation result.CommentValence result output step and
It is characterized by comprising.
[0017]
  A content evaluation method according to a tenth aspect of the present invention is the content evaluation method according to the ninth aspect, wherein the first evaluation model creating step is a designated evaluator detected by the designated evaluator detecting step. When there are multiple evaluation sentences related to the creation of the evaluation model, each evaluation sentence is separated by attaching an item name for each item, and then the evaluation model is integrated by integrating the contents with the item name for each item of each evaluation sentence CreateRukoAnd features.
[0018]
  The content evaluation method of the present invention according to claim 11 is the content evaluation method according to claim 9 or 10, wherein an evaluation sentence relating to creation of an evaluator other than the designated evaluator is determined by the general evaluation sentence determination step. If the number of hires exceeds the specified number, register the evaluator as a designated evaluator in the evaluator database.FingerIt has a fixed evaluator selection step.
[0019]
  The content evaluation method of the present invention according to claim 12 is the content evaluation method according to any one of claims 9 to 11, wherein the content to be evaluated isSend from the content provider's terminal computerIt is characterized by that.
[0020]
  The content evaluation method of the present invention according to claim 13 is the content evaluation method according to any one of claims 9 to 12,The evaluation sentence isIt transmits from a terminal computer.
[0021]
  The content evaluation method of the present invention according to claim 14 is the content evaluation method according to any one of claims 9 to 13, wherein an evaluation result database accessible through a communication line is recorded in the storage device. In the evaluation result output step, the evaluation result is output and recorded in the evaluation result database.RukoAnd features.
[0022]
  The recording medium of the present invention according to claim 15 is a storage device for storing an evaluation sentence accumulation file for accumulating an evaluation sentence for content to be evaluated and a designated evaluator database in which designated evaluators designated in advance are registered. A computer-readable recording medium having recorded thereon a program for causing a computer to execute content evaluation,
  AboveComputer,
    A designated evaluator detecting means for detecting an evaluation sentence created by a designated evaluator registered in the designated evaluator database from the evaluation sentences accumulated in the evaluation sentence accumulation file;
    A first evaluation model creating means for creating an evaluation model by attaching an item name to each item and separating the evaluation sentence relating to the creation of the designated evaluator detected by the designated evaluator detecting means;
    Among the evaluation sentences stored in the evaluation sentence storage file, after separating the evaluation sentences related to the evaluators other than the designated evaluators that are not detected by the designated evaluator detecting means, with item names for each item, In contrast to the evaluation model created by the first evaluation model creating means, an evaluation sentence related to an evaluator other than the designated evaluator is adopted based on the consistency, similarity and / or dissimilarity of the words used. A general evaluation sentence judging means for judging whether or not the possible range;
    The contents of the item name assigned to each item of the evaluation sentence determined to be within the range that can be adopted by the general evaluation sentence judging means and the item name for each item of the evaluation model created by the first evaluation model creating means A second evaluation model creating means for creating a new evaluation model by integrating the contents with
    A term corresponding to a predetermined evaluation index is detected from the evaluation model created by the first evaluation model creating unit or the second evaluation model creating unit, and the significance of the term is determined from the use state of the detected term. Judgment is made as to whether it is worth attaching an evaluation index corresponding to the term by judging the degree or by judging whether the frequency of appearance of the detected term is greater than or equal to a predetermined value. An evaluation index giving means for giving the evaluation index to the evaluation model;
    An evaluation result output means for outputting, as an evaluation result, an evaluation model to which an evaluation index is attached by the evaluation index providing means;Make it workIt is characterized byTo provide a computer-readable recording medium on which a program is recorded.
[0023]
  Claim 16 of the present inventionrecoding mediaIs defined in claim 15.When there are a plurality of evaluation sentences relating to the creation of the designated evaluator detected by the designated evaluator detecting means, the first evaluation model creating means is an item for each evaluation sentence for each item. After categorizing by name, create an evaluation model by integrating the contents with item names for each item in each evaluation sentence.It is characterized by that.
[0024]
  The recording medium of the present invention according to claim 17 is the recording medium according to claim 15 or 16,The computer,When the number of evaluation sentences related to the creation of an evaluator other than the designated evaluator is adopted by the general evaluation sentence judging means exceeds the designated number, the evaluator is registered in the evaluator database as the designated evaluator. Designated evaluator selection methodTo act asprogramRecordedIt is characterized by that.
[0025]
DETAILED DESCRIPTION OF THE INVENTION
  Next, embodiments of the present invention will be described with reference to the drawings.
[0026]
  FIG. 1 is a diagram showing a schematic configuration of a content evaluation apparatus 10 according to this embodiment.
[0027]
As shown in FIG. 1, the evaluation device 10 includes a storage device 11, a memory (program memory) 12, and a keyboard, mouse, or barcode reader connected to the CPU via an input / output control unit 16 serving as an interface. And the like, a display device 14 as a monitor, and an output device 15 such as a printer for outputting various tabulation results and documents. Further, the CPU controls the communication device 17 that exchanges data (information) with a terminal computer owned by a content provider that provides content to be evaluated and an evaluator's terminal computer that evaluates the content. ing.
[0028]
The storage device 11 is storage means such as a hard disk, a flexible disk, or an optical disk, and includes an evaluation sentence storage file 11a, an evaluation result database 11b, an evaluator database 11c, and the like.
[0029]
In addition to the necessary OS, the memory (program memory) 12 includes designated evaluator detection means 12a as a program, first evaluation model creation means 12b, evaluation index assignment means 12c, evaluation result output means 12f, and the like. Yes.
[0030]
The designated evaluator detection unit 12a executes a designated evaluator detection step of detecting whether an evaluation sentence read from the evaluation sentence accumulation file 11a is from a person recorded as a designated evaluator in the evaluator database 11c. It is a program for.
[0031]
Here, the “evaluation sentence” in this specification is not only a sentence for judging the value of the content to be evaluated, but also the content itself, such as analyzing and summarizing or diagramming the content. , Meaning to include all the information that has been processed into some form and put together in an easy-to-understand format. For example, if the content is a patent gazette, it is not the content of the gazette itself, but the outline of the invention, a representative diagram, the use status of the invention at the present stage, a field where new development or application development is possible, new development or application development, etc. The entire sentence and figure including new ideas for the "evaluation sentence". It is also possible to include information on the company that is the applicant, the career of the agent, and the results. Similarly, for example, in the case of painting information, in addition to the picture itself, the whole including additional information such as the overall value of the picture, transaction price, author's career, date of production, etc. becomes an “evaluation sentence”. .
[0032]
The source of the content to be evaluated is arbitrary, and may be various databases accessible via a communication line, for example, a database of various patent information, or an individual requesting evaluation of individual specific content or It may be a corporation (content provider). In the latter case, content provided by the content provider to the owner of the evaluation device 10 by fax, mail, or the like can be input to the evaluation sentence storage file 11a by the owner of the evaluation device 10. In order to realize a quick evaluation, it is preferable that the evaluation apparatus 10 can be input from a content provider's terminal computer via a communication line such as the Internet.
[0033]
“Designated evaluator” is a person who can understand the content accurately and prepare the above-mentioned evaluation sentence. For example, in addition to professional qualifications in various fields, persons selected from various consultants, advisors, critics, etc. In addition, it is a person who can create an evaluation sentence of a predetermined level or higher that satisfies the criteria provided by the organizer or the like who owns the evaluation device 10. The person who is registered as the “designated evaluator” is initially selected by the organizer or the like, but thereafter, automatically selected from the general evaluators by the evaluation apparatus 10 as described later. Will be. The term “evaluator” simply means a general evaluator arbitrarily sent through a public line such as the Internet in addition to a designated evaluator.
[0034]
The first evaluation model creation means 12b uses the evaluation sentence as an evaluation model when there is only one evaluation sentence for the evaluation sentence relating to the creation of the designated evaluator detected by the designated evaluator detection means 12a. When there are a plurality of evaluation sentences, this is a program for executing a first evaluation model creation step of creating an evaluation model by integrating the plurality of evaluation sentences.
[0035]
The “evaluation model” is finally output as an evaluation result. When there is only one evaluation sentence related to the creation of the designated evaluator by the first evaluation model creating means 12b, When there are multiple evaluation sentences related to the creation of a designated evaluator, an analysis of the evaluation sentence is determined as an evaluation model. After analyzing this evaluation sentence, it is not simply organized but integrated into one evaluation. Create a model.
[0036]
Evaluation sentence analysis refers to work that separates the evaluation sentences in a format with item names if the evaluation sentences are listed separately for each item, and judges the meaning of the sentence if it is not divided for each item. Then, extract the item name, add the item name, and cut it. For example, item names such as “new business name for new development” and “new market” are attached and the contents are posted under the item name.
[0037]
The integration of evaluation sentences means that the contents divided for each item are integrated for each item when a plurality of evaluation sentences are received. That is, when there are multiple evaluation sentences related to the creation of a designated evaluator, each evaluation sentence is analyzed as described above, and then adjusted for each item. For example, for a new market, the contents for each evaluation sentence If they are different, they are all listed as the contents in the “New Market” column. However, contents common to each evaluation sentence are integrated so as not to overlap.
[0038]
The evaluation index assigning means 12c is a program for executing an evaluation index providing step of determining whether or not it is worth attaching a predetermined evaluation index and assigning an evaluation index determined to be necessary.
[0039]
“Evaluation indicators” include, for example, “newness of ideas: new (or improved)”, “independence of business (whether or not independent business development is possible): yes (or no)”, “in new fields” Possibility of deployment: High (or low), “Difficulty of commercialization: Easy (or difficult)”, “New capital investment: Necessary (or unnecessary)”, etc. As a general guide, it refers to an index that allows the value of the content to be judged. The specific example of the evaluation index is merely an example, and may be represented by a numerical value according to a certain rule as well as variously depending on the content.
[0040]
The evaluation index may be determined and formed in advance and recorded in the storage device 11, and the evaluation index file may be read and assigned by executing the evaluation index giving means 12c. it can. When the evaluation index providing means 12c is executed, the evaluation model is analyzed, and important terms that are repeatedly used in the evaluation model or used as item names are positioned as evaluation indexes. It is also possible to assign the evaluated index. Moreover, it is also possible to use a predetermined evaluation index and this newly obtained evaluation index together.
[0041]
Whether or not to assign a specific evaluation index is performed as follows by executing the evaluation index providing means 12c. For example, in determining whether or not to attach an evaluation index of “newness of idea: new”, this program first analyzes the evaluation model and uses a term corresponding to “newness of idea: new”. Is detected. For example, terms such as “new”, “new”, “new”, and “new” are detected. Then, the importance of the term is determined from the state used in the evaluation sentence of these terms, such as being included in the item name or being often used at the beginning of the sentence. When used together or independently, the frequency of appearance of each of the above terms is calculated and found to be important, or when the frequency of appearance is found to be greater than or equal to a predetermined value, “newness of idea: new” It is judged that it is worth attaching the evaluation index, and the evaluation index is given to the evaluation model.
[0042]
The memory (program memory) 12 is further installed with general evaluation sentence determination means 12d and second evaluation model creation means 12e.
[0043]
The general evaluation sentence determination unit 12d analyzes an evaluation sentence (general evaluation sentence) determined to be related to an evaluator other than the designated evaluator by the execution of the designated evaluator detection unit 12a. Compared with the evaluation model created by the evaluation model creating means 12b, it is a program for determining whether or not the content of the general evaluation sentence is within the applicable range. Although the method for determining whether or not it is within the employable range is arbitrary, for example, the word used in the general evaluation sentence in comparison with the evaluation model created by the first evaluation model creating means 12b Among them, it is possible to adopt a technique in which a certain ratio or more matches the words used in the evaluation model or is conceptually similar. In addition, by adding an evaluation sentence with a different taste to the above evaluation model, if you want to output an unprecedented fresh evaluation result, the evaluation model is maintained to maintain a certain level. While requiring a certain ratio of coincidence and similarity with the words used in the model, it is also possible to use a condition that the ratio of use of different words (new words) is more than a certain value.
[0044]
The second evaluation model creation means 12e is a program that operates to execute the second evaluation model creation step when the general evaluation sentence is adopted by the general evaluation sentence determination means 12d. If there is no general evaluation sentence adopted by the evaluation sentence determination means 12d, the operation is not performed. Of course, when it is determined by the execution of the designated evaluator detecting means 12a that the evaluation sentences related to the evaluators other than the designated evaluator are not accumulated, the general evaluation sentence judging means 12d itself does not operate. Accordingly, the second evaluation model creating means 12e does not operate.
[0045]
The work performed in the second evaluation model creating means 12e is to analyze and integrate the evaluation model created by the first evaluation model creating means 12b and the general evaluation sentence adopted by the general evaluation sentence judging means 12d. The specific contents of analysis and integration are the same as those of the first evaluation model creating means 12b described above.
[0046]
When the second evaluation model creating means 12e is executed, it is not the evaluation model created by the first evaluation model creating means 12b, but a new one created by the second evaluation model creating means 12e. The evaluation model is included in the evaluation result described later. In this case, the above-described evaluation index assigning unit 12c is executed after this, and an evaluation index is assigned to a new evaluation model.
[0047]
The general evaluation sentence determination unit 12d and the second evaluation model creation unit 12e employed in the present embodiment create an evaluation sentence to be analyzed and integrated in the owner (organizer) of the content evaluation apparatus 10. This is not always necessary if all the evaluators are limited to designated evaluators.
[0048]
The memory 12 is further installed with an evaluation result output means 12f which is a program for executing an evaluation result output step for outputting the evaluation model with the evaluation index as an evaluation result. The output destination of the evaluation result is the evaluation result database 11b formed in the storage device 11 in this embodiment. The evaluation result database 11b is open so that it can be accessed via a communication line. For example, in the case of the Internet, the evaluation result is displayed on the Web page of the owner (organizer) of the evaluation apparatus 10. It is configured as follows. By taking such an output format, this evaluation result can be used by a third party other than the content provider or the evaluator, and the user can easily understand the contents of the content, The value judgment can be made.
[0049]
Further, in order for the third party to easily access the evaluation result of the desired content, the evaluation result database 11b is preferably set to be searchable. A specific search method will be described later.
[0050]
In addition, as shown in FIG. 2, in this embodiment, not only the evaluation result is registered and published in the evaluation result database 11b, but also the evaluation result is directly transmitted from the evaluation device 10 to the content provider. (S120). In this case, the evaluation result can be transmitted to an evaluator who has sent an evaluation sentence about the content, and can be used for reference.
[0051]
Next, the effect | action of this embodiment is demonstrated based on FIG. First, the owner of the evaluation device 10 accesses public content such as a database of patent information, or selects content to be evaluated from content received from a content provider (S100). Next, this content is presented on the organizer's Web page (S101). The content evaluator accesses this Web page from the terminal computer 30, browses the evaluation content (S102), creates an evaluation sentence for the content that can be evaluated by the evaluator from various evaluation contents, and It transmits to the evaluation apparatus 10 via a web page (S103). The evaluation device 10 receives this evaluation sentence (S104) and accumulates the evaluation sentence in the evaluation sentence accumulation file 11a. As in this embodiment, it is possible to obtain evaluation sentences from general evaluators by making evaluation content viewable. For example, only evaluation sentences from predetermined designated evaluators can be obtained. When ordering, the evaluation content may be transmitted directly from the evaluation device 10 to the terminal computer of the designated evaluator.
[0052]
In the evaluation device 10, for example, an evaluation sentence reception period is set for each evaluation content, and the designated evaluator detection unit 12 a is executed after the reception period elapses. In addition, the setting of the reception period is arbitrary, there is no such period setting, and the process described below is performed for each evaluation sentence each time an evaluation sentence is received and a new evaluation sentence regarding the evaluation content is received. It can also be.
Next, the evaluation sentence storage file 11a is accessed to determine whether or not an evaluation sentence relating to the creation of the designated evaluator is included (S105). In the case where nothing related to the creation of the designated evaluator is included, that is, only the evaluation sentence relating to the creation of the general evaluator is included, each evaluation sentence is registered in the idea database 11d formed in the storage device 11 (S106). Here, the idea database 11d is a database that accumulates evaluation sentences that have not been adopted in this way, that is, evaluation sentences that cannot guarantee the quality of evaluation.
[0053]
In the case of including a thing related to the creation of the designated evaluator, the evaluation sentence is analyzed and integrated by the first evaluation model creating means 12b only for the evaluation sentence relating to the creation of the designated evaluator (S107). Next, it is determined whether or not all of the received evaluation sentences are designated evaluators (S108). If all the evaluation sentences are related to the creation of the designated evaluator, the first evaluation model creating means 12b creates them. An evaluation index is assigned to the evaluated model (S109).
[0054]
On the other hand, when the evaluation sentence received includes an evaluation sentence related to the creation of a person other than the designated evaluator in addition to the one relating to the creation of the designated evaluator, the general evaluation sentence judging means 12d analyzes the general evaluation sentence, Further, compared with the evaluation model created by the first evaluation model creating means 12b (S110), it is determined whether or not the content of the general evaluation sentence is within a usable range (S111). Whether or not an evaluation sentence related to creation other than a designated evaluator is included, when the idea database 11d is accessed and a general evaluation sentence for the content has been registered in the idea database 11d in the past. Reads out the general evaluation sentence, compares it with the evaluation model, and determines whether it can be adopted (S110, S111).
[0055]
If the general evaluation text is out of the acceptable range, the result (correction result) is transmitted to the evaluator's terminal computer 30 (S112), and the general evaluation text is registered in the idea database (S106).
[0056]
When the general evaluation sentence is within the applicable range by the general evaluation sentence determination unit 12d, the second evaluation model creation unit 12e uses the general evaluation sentence and the evaluation created by the first evaluation model creation unit 12b. The model is analyzed and integrated to create a new evaluation model (S114). Thereafter, an evaluation index is assigned to the new evaluation model by the evaluation index assigning means 12c (S109).
[0057]
In the present embodiment, for the adopted general evaluation sentence, the cumulative number of times that the evaluator who created the general evaluation sentence has been adopted is calculated (S115). If the number of hiring designations is exceeded, the evaluator is upgraded to the designated evaluator (S116), and if the number is less than the hiring designation number, the current number of times is added to the past hiring cumulative number. (S117) After execution of the second evaluation model creating means 12e described above (S114), that effect is notified to the evaluator's terminal computer 30 as a result of adoption (S118) and further recorded in the evaluator database 11c. (S119). Therefore, in this embodiment, designated evaluator selection means, which is a program for executing such work, is also installed in the evaluation apparatus 10.
[0058]
The evaluation model provided with the evaluation index by the evaluation index providing unit 12c is transmitted as an evaluation result from the evaluation apparatus 10 to the content provider's terminal computer 20 by the evaluation result output unit 12f (S120). If the content to be evaluated is not provided by a specific content provider but is taken from a public database, the transmission step (S120) is not performed. Of course not.
[0059]
The evaluation result output unit 12f records the above evaluation result in the evaluation result database 11b (S121). Thus, the evaluation result can be used for general use. In addition, when the content itself is not included in the evaluation sentence constituting the evaluation result, the content can be attached to the evaluation result and recorded in the evaluation result database 11b. From the evaluation result, a link can be pasted so that the content can be accessed immediately. In addition, update information such as the number of times the evaluator is employed and data of the newly employed evaluator is recorded in the evaluator database 11c (S122).
[0060]
Next, an example of a method for searching for and obtaining a desired evaluation result registered in the database as described above will be described with reference to FIG.
[0061]
For example, a content searcher who intends to acquire an evaluation result for specific content uses the terminal computer 40 owned by the content searcher to access the content distribution providing Web page and start a search (S200). Next, a search course is selected (S201). A search course is a menu that is roughly divided and set according to how the searcher uses it. For example, if the engineer who is considering the application of a new idea is a searcher, the “Creation Support Course” Select a menu.
[0062]
In addition, in the course setting where the searcher wants to examine various unique ideas as in the “idea support course”, not only the evaluation result including the evaluation of the designated evaluator but also the idea database 11d. Accessing a registered evaluation statement that has been rejected may also have some utility value. Therefore, for example, when “an idea support course” is selected (S202), it is convenient to set the database to be included in the search target database so that the idea database 11d is included (S203). Of course, the setting of such a course and the setting of a database to be searched can be variously set in search software provided by the owner (organizer) of the content evaluation apparatus 10 or the like. Moreover, it can also be set as the structure which a searcher can update arbitrarily the database made into search object according to a course.
[0063]
Next, the searcher sets various search conditions, such as content identifiers, author names, evaluator names, and other various keywords, and transmits them to the evaluation apparatus 10 through keyword input means provided on the web page. (S204). Upon receiving this search condition (S204), the evaluation apparatus 10 accesses the evaluation result database 11b, the idea database 11d, etc. according to the condition and executes a search (S205). The execution of the search is based on a pre-registered condition and automates a search (reservation search) each time or periodically when new data that matches the search condition is added. You can also.
[0064]
Next, the billing method selection, notification, confirmation, and approval steps are performed between the evaluation apparatus 10 and the searcher's terminal computer 40 (S206 to S209), and billing is started (S210). Then, the search result is transmitted from the evaluation device 10 (S211), and is received by the searcher's terminal computer 40 (S212).
[0065]
The search result is displayed on the Web page of the evaluation apparatus 10 by characters, graphics, voice, or the like, and the searcher can view it by the terminal computer 40. However, the search result may be separately transmitted by fax or the like.
[0066]
When a notification of the end of search is sent from the terminal computer (S213), the billing ends (S214), and the amount is notified in order to enable the searcher to confirm the amount (S215, S216).
[0067]
In addition, the search fee obtained by the search can be partially distributed as a recruitment fee to the creator of the evaluation sentence related to the evaluation result adopted in the search result.
[0068]
Of course, the present invention is not limited to the above-described embodiment. In the above description, for example, the display of the search result is fixed in a predetermined format in consideration of easiness to see and understand. It is done by displaying the entire evaluation statement, but it is divided into items such as “New business name for new development”, “New market”, etc., and the interest level and topicality etc. of each item are classified. The layout can also be taken into consideration. Moreover, it is good also as a structure which displays only one or two or more items by selection of a searcher. These display types can be provided, for example, so that the searcher can arbitrarily select them by the operation of a display type input means (not shown) as a program set in the memory 12.
[0069]
If there are multiple evaluation sentences in the search results, only those that match the conditions specified by the searcher are displayed, or those ranked by any condition are displayed in ascending or descending order, or only the specified order is displayed. It can be set as the structure displayed. Further, a processing means for displaying what kind of tendency / characteristic the search result has may be provided. For example, when the evaluation content is a patent gazette, as described above, the evaluation sentence includes an overview of the invention, the current usage status of the invention, a field where new development or application development is possible, and for new development or application development. Since attributes added from various viewpoints such as new ideas are included, the searcher can arbitrarily classify the search results by designating these attributes as classification types. For example, for a search result obtained under a search condition using “e-commerce” as a keyword, the searcher designates “applicant” as the classification type and transmits it to the evaluation device 10. Upon receiving the classification type, the evaluation device 10 classifies the collection of search results by applicant, and charts it using a list or graph showing the number of evaluation sentences for each applicant, the ratio by applicant, etc. The display configuration is processed and transmitted to the terminal computer 40. By adopting a configuration in which search results can be classified according to one or more classification types in this way, the searcher can obtain not only raw search results but also supplementary information.
In addition, when the search result classified as described above has a specific tendency or characteristic, for example, in the above example, when the ratio of Company A exceeds 70%, “E-commerce field wins A company alone” As described above, it is convenient for a searcher to use a processing unit that can display a tendency obtained from the classification result according to a predetermined rule on a web page.
[0070]
Furthermore, it is possible to provide a processing means for displaying related information other than information included in the evaluation sentence obtained as an output result in a link format. For example, stock information, new product information, the number of patents owned, etc. of the company that is the applicant can be included in the evaluation text itself, and such information can also be displayed as the content of the evaluation text by the above method. Of course. However, since these pieces of information are not fixed and change over time, in order to provide accurate information in a timely manner, it is necessary to update the evaluation sentence itself correspondingly, and the configuration is complicated. It becomes. Therefore, the evaluation including elements that change over time can be displayed in a form in which a link is pasted so that the content can be accessed immediately from the output result display screen.
[0071]
The search results output as described above are stored in the database of the evaluation apparatus 10 to display a comparison with the previous search results, or to accumulate by evaluation sentences classified under arbitrary conditions, and to display the changes Means can be provided. Of course, it is possible to store the search results directly in the terminal computer owned by the searcher, or to limit the search results.
[0072]
The searcher's search history is classified into search conditions, search results, etc. and stored in the database. For example, the searcher's unique attributes, keyword attributes specified by the searcher, and evaluation result attributes It is possible to analyze combinations in the above, and it is possible to predict the direction of future new business, or to reflect in the criteria for content evaluation according to the present invention.
For example, first, an attribute with an evaluation result of an evaluation content (for example, a business field first applied, a business area of an evaluation content owner, etc.) is unique to a searcher (for example, a business to be developed). Business area), and the relationship between the two can be accumulated or displayed as necessary. And, for example, when the frequency of combinations of attributes that were previously thought to be unrelated is more than a certain level, it is possible to develop new fields of business within the combinations of attributes (business types) It is possible to predict that there are characteristics and business trends, and to reflect that in the evaluation results.
[0073]
【The invention's effect】
According to the content evaluation apparatus, the evaluation method, the evaluation result acquisition method, and the recording medium of the present invention, the content of the evaluation sentence sent from the content evaluator can be analyzed and integrated using a computer. It is possible to create and publish an evaluation model as a process information that is easy to understand the contents of the contents and processing information compiled with the contents while maintaining a certain level or more.
[Brief description of the drawings]
FIG. 1 is a diagram showing a schematic configuration of a content evaluation apparatus according to an embodiment of the present invention.
FIG. 2 is a flowchart for explaining a content evaluation method according to an embodiment of the present invention;
FIG. 3 is a flowchart for explaining a content acquisition method according to an embodiment of the present invention;
[Explanation of symbols]
10 Content evaluation device
11 Recording device
11a Evaluation text storage file
11b Evaluation result database
11c Evaluator database
12 memory
12a Designated evaluator detection means
12b First evaluation model creation means
12c Evaluation index assigning means
12d General evaluation sentence judgment means
12e Second evaluation model creation means
12f Evaluation result output means
20 Content provider terminal computer
30 Evaluator's terminal computer
40 Searcher's terminal computer

Claims (17)

In evaluation device ing content from a computer having a storage device for recording and designated evaluator database evaluation sentence storage files previously specified designated evaluator is registered to accumulate an evaluation sentence regarding the content to be evaluated There ,
From the evaluation sentence stored before Symbol evaluation sentence storage file, and specifying evaluator detecting means for detecting an evaluation sentence created by the specified assessors registered in the designated evaluator database,
A first evaluation model creating means for creating an evaluation model by attaching an item name to each item and separating the evaluation sentence relating to the creation of the designated evaluator detected by the designated evaluator detecting means;
Among the evaluation sentences stored in the evaluation sentence storage file, after separating the evaluation sentences related to the evaluators other than the designated evaluators that are not detected by the designated evaluator detecting means, with item names for each item, In contrast to the evaluation model created by the first evaluation model creating means, an evaluation sentence related to an evaluator other than the designated evaluator is adopted based on the consistency, similarity and / or dissimilarity of the words used. A general evaluation sentence judging means for judging whether or not the possible range;
The contents of the item name assigned to each item of the evaluation sentence determined to be within the range that can be adopted by the general evaluation sentence judging means and the item name for each item of the evaluation model created by the first evaluation model creating means A second evaluation model creating means for creating a new evaluation model by integrating the contents with
A term corresponding to a predetermined evaluation index is detected from the evaluation model created by the first evaluation model creating unit or the second evaluation model creating unit, and the significance of the term is determined from the use state of the detected term. Judgment is made as to whether it is worth attaching an evaluation index corresponding to the term by judging the degree or judging whether the frequency of appearance of the detected term is greater than or equal to a predetermined value. An evaluation index giving means for giving the evaluation index to the evaluation model;
An evaluation apparatus for content, comprising: an evaluation result output means for outputting an evaluation model to which an evaluation index is attached by the evaluation index assigning means as an evaluation result.   When there are a plurality of evaluation sentences related to the creation of the designated evaluator detected by the designated evaluator detecting means, the first evaluation model creating means classifies each evaluation sentence with an item name for each item. The content evaluation apparatus according to claim 1, wherein an evaluation model is created by integrating contents with item names for each item of each evaluation sentence. When the number of evaluation sentences related to the creation of an evaluator other than the designated evaluator is adopted by the general evaluation sentence judging means exceeds the designated number, the evaluator is registered in the evaluator database as the designated evaluator. evaluation device content according to claim 1 or 2, characterized in that it have a specified evaluator selecting means.   The content evaluation apparatus according to any one of claims 1 to 3, wherein the content to be evaluated is selected from a database relating to any publicly disclosed content.   The content evaluation apparatus according to claim 1, wherein the content to be evaluated is transmitted from a content provider's terminal computer.   The content evaluation apparatus according to claim 1, wherein the evaluation sentence is transmitted from an evaluator's terminal computer.   7. The evaluation result database accessible through a communication line is recorded in the storage device, and the evaluation result output by the evaluation result output means is recorded in the evaluation result database. The content evaluation apparatus according to any one of the above.   8. The content evaluation apparatus according to claim 7, wherein the evaluation result database is provided so as to be searchable in order to obtain a desired evaluation result. Content by an evaluation device for content comprising a computer having a storage device for storing an evaluation statement storage file for storing an evaluation statement for content to be evaluated and a designated evaluator database in which a designated evaluator designated in advance is registered Evaluation method,
From the accumulated evaluation sentence in the evaluation sentence storage file, and specifying evaluator detecting step that detect an evaluation sentence created by the specified assessors registered in the designated evaluator database,
A first evaluation model creation step to create an evaluation model by carving denoted by the item name for each item evaluation sentence according to the creation of the detected designated evaluator by the specifying evaluator detection step,
Among the evaluation sentences stored in the evaluation sentence storage file, after separating the evaluation sentences related to the evaluators other than the designated evaluators that were not detected by the designated evaluator detection step, with item names for each item, In contrast to the evaluation model created in the first evaluation model creation step, an evaluation sentence related to an evaluator other than the designated evaluator is adopted based on the consistency, similarity and / or dissimilarity of the words used. and general evaluation sentence determination step it determines range or not,
The contents of the item name assigned to each item of the evaluation statement determined to be within the employable range by the general evaluation statement determining step and the item name for each item of the evaluation model created by the first evaluation model creating step a second evaluation model creation step to create a new evaluation model by integrating the content is attached,
A term corresponding to a predetermined evaluation index is detected from the evaluation model created by the first evaluation model creation step or the second evaluation model creation step, and the significance of the term is determined from the use state of the detected term. Judgment is made as to whether it is worth attaching an evaluation index corresponding to the term by judging the degree or judging whether the frequency of appearance of the detected term is greater than or equal to a predetermined value. and the evaluation index grant step to grant an evaluation index in the evaluation model,
Evaluation method of a content which is characterized by comprising the evaluation result output step you output as an evaluation result evaluation model evaluation index is attached by the evaluation index imparting step. In the first evaluation model creation step, when there are a plurality of evaluation sentences related to the creation of the designated evaluator detected by the designated evaluator detection step, each evaluation sentence is classified by assigning an item name to each item. and then, the evaluation method of the contents according to claim 9, wherein the benzalkonium create an evaluation model by integrating the content item name for each item in the evaluation sentence is attached. When the number of evaluation sentences related to the creation of an evaluator other than the designated evaluator is adopted by the general evaluation sentence determination step exceeds the designated number, the evaluator is registered in the evaluator database as the designated evaluator. evaluation of the content according to claim 9 or 10, wherein to have that specify evaluator selection step.   The content evaluation method according to claim 9, wherein the content to be evaluated is transmitted from a content provider's terminal computer.   The content evaluation method according to claim 9, wherein the evaluation sentence is transmitted from an evaluator's terminal computer. In the storage device, it may be recorded accessible evaluation result database through a communication line, the evaluation result output step, according to claim 9, wherein the benzalkonium be recorded and outputs the evaluation result to the evaluation result database The content evaluation method according to any one of ˜13. In order to cause a computer having a storage device that stores an evaluation sentence storage file for storing an evaluation sentence for content to be evaluated and a designated evaluator database in which a designated evaluator designated in advance is registered to perform content evaluation A computer-readable recording medium on which the program is recorded,
The computer ,
A designated evaluator detecting means for detecting an evaluation sentence created by a designated evaluator registered in the designated evaluator database from the evaluation sentences accumulated in the evaluation sentence accumulation file;
A first evaluation model creating means for creating an evaluation model by attaching an item name to each item and separating the evaluation sentence relating to the creation of the designated evaluator detected by the designated evaluator detecting means;
Among the evaluation sentences stored in the evaluation sentence storage file, after separating the evaluation sentences related to the evaluators other than the designated evaluators that are not detected by the designated evaluator detecting means, with item names for each item, In contrast to the evaluation model created by the first evaluation model creating means, an evaluation sentence related to an evaluator other than the designated evaluator is adopted based on the consistency, similarity and / or dissimilarity of the words used. A general evaluation sentence judging means for judging whether or not the possible range;
The contents of the item name assigned to each item of the evaluation sentence determined to be within the range that can be adopted by the general evaluation sentence judging means and the item name for each item of the evaluation model created by the first evaluation model creating means A second evaluation model creating means for creating a new evaluation model by integrating the contents with
A term corresponding to a predetermined evaluation index is detected from the evaluation model created by the first evaluation model creating unit or the second evaluation model creating unit, and the significance of the term is determined from the use state of the detected term. Judgment is made as to whether it is worth attaching an evaluation index corresponding to the term by judging the degree or judging whether the frequency of appearance of the detected term is greater than or equal to a predetermined value. An evaluation index giving means for giving the evaluation index to the evaluation model;
Computer readable recording medium recording a program for causing to function as an evaluation result output means for outputting an evaluation model evaluation index by the evaluation index imparting means is attached evaluated as a result.   When there are a plurality of evaluation sentences related to the creation of the designated evaluator detected by the designated evaluator detecting means, the first evaluation model creating means classifies each evaluation sentence with an item name for each item. 16. The recording medium according to claim 15, wherein an evaluation model is created by integrating contents with item names for each item of each evaluation sentence. When the number of times that the general evaluation sentence judging means adopts an evaluation sentence related to the creation of an evaluator other than the designated evaluator exceeds the designated number, the evaluator is designated as the designated evaluator. The recording medium according to claim 15 or 16, wherein a program that functions as designated evaluator selection means to be registered in the database is recorded.

Images