JP2010160719A - Display method for evaluation degree data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To convert a relative evaluation degree of numerical data into a scale intelligible to a user when the numerical data indicating evaluation of a specific phenomenon exits, and to display it. <P>SOLUTION: A processor 10 functionally includes a document extraction part 11, an analysis processing part 12, and a display processing part 13. The display processing part 13 converts a sympathy degree value obtained by the analysis processing part 12 into a numerical value, a symbol or the like indicating a sympathy degree. The conversion is performed by specifying a maximum value and a minimum value of the sympathy degree value, setting a numerical value width of a difference between two sides as a scale width, equally dividing it to determine the scale of the sympathy degree, and applying the sympathy degree value to the scale. The converted sympathy degree value is transmitted to a terminal 311 of a terminal device 31, and is displayed on a display part 31. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a method for displaying a relative evaluation degree of numerical data in a manner that is easily understood by a user when there is numerical data in which the evaluation of a specific event is expressed numerically.

  One of the methods for elucidating social phenomena and predicting events is a multivariate analysis method. In general, multivariate analysis applies a causal relational expression (multiple regression equation) between at least one objective variable and multiple explanatory variables, and quantitatively analyzes how much the objective variable can be explained by the explanatory variables. Is.

  In addition, the multivariate analysis method is also being studied as a method for finding others who can sympathize with users on blog sites on the Internet. Until now, a technique for performing keyword search in a blog site or the like is known (see, for example, Patent Document 1). In the multivariate analysis method, multivariate analysis is performed on a document that has already been created by a person who has already had document communication on the site, that is, data that is extracted from a document that is actually created by a person who actually sympathizes. A causal relational expression for determining the degree is obtained, a document relating to the creation of persons who have not yet met this causal relation is applied, and the mutual sensitivity of the persons is automatically determined. In this case, the co-sensitivity is expressed by numerical data (co-sensitivity value) derived by multivariate analysis.

JP 2007-11651 A

  For example, when the user accesses a blog site or the like, the co-sensitivity is desirably displayed in some manner on the display device of the terminal used by the user. In this case, even if the co-sensitivity value itself is displayed, it is difficult for the user to grasp the relative evaluation degree, so it is necessary to display it after converting it to some scale. However, the numerical data of multivariate analysis is not of a property that fits within a certain range of numerical values, and in the case of a scale conversion that simply sets a threshold value or a scale conversion that uses a deviation value of a co-sensitivity value, the co-sensitivity value It is difficult to display the relative degree of evaluation for the user in an easily understandable manner.

  The present invention has been made in view of the above points, and when there is numerical data indicating the evaluation of a specific event such as co-sensitivity, the user can easily understand the relative evaluation degree of the numerical data. It is an object of the present invention to provide a method that can be converted into and displayed.

  According to one aspect of the present invention, there is provided a method for displaying evaluation degree data, the step of obtaining a numerical data group including a plurality of first evaluation values expressing the evaluation of a specific event as a numerical value, The step of specifying the maximum value and the minimum value of the first evaluation value, the numerical value width of the difference between the maximum value and the minimum value as a scale width, and expressing the evaluation degree as a numerical value in the range of the scale width Determining a second evaluation value scale; converting each of the first evaluation values in the numerical data group according to the scale to obtain a second evaluation value; and the second evaluation value. And displaying the value on a predetermined display means (Claim 1).

  According to this configuration, the scale of the second evaluation value is determined using the range from the maximum value to the minimum value of the first evaluation value as the scale width. For this reason, even if the range of the first evaluation value, that is, when the maximum value or the minimum value cannot be predicted, each of the first evaluation values in the acquired numerical data group is based on the scale. The second evaluation value with a clear relative evaluation degree can be converted. Therefore, it is possible to provide the user with the degree of evaluation in a form that is easy for the user to understand.

  In the above-described configuration, it is desirable that the scale of the second evaluation value is formed by equally dividing the numerical width of the difference between the maximum value and the minimum value (Claim 2). According to this configuration, the degree of evaluation based on the second evaluation value can be simply expressed as a natural number, and display in a form that is easier for the user to understand is possible.

In this case, the first evaluation value is α, the second evaluation value is β, the maximum value of the first evaluation value is α _MAX , the minimum value is α _MIN , and the scale of the second evaluation value When the number of evaluation stages is n, the following equation is obtained: β = (n−1) × (α−α _MIN ) / (α _MAX −α _MIN ) +1
Can be used to convert the first evaluation value into the second evaluation value (claim 3). According to this configuration, it is possible to easily derive in which order in the evaluation stage a certain first evaluation value is located.

  In the above configuration, when the difference between the maximum value and the minimum value is zero, all of the first evaluation values are converted into intermediate values between the maximum value and the minimum value of the scale, and the first An evaluation value of 2 is desirable (claim 4). When the difference between the maximum value and the minimum value is zero, the first evaluation value cannot be converted to the second evaluation value by the above formula. In this case, since the relative evaluation degrees are side by side, the state can be accurately expressed by using the intermediate value.

  In the above configuration, it is desirable that the second evaluation value is displayed on the display means after being converted into another symbol, character, or figure corresponding to the numerical value. According to this configuration, the display mode of the evaluation degree can be diversified, and display corresponding to various preferences of the user can be performed.

  In the above configuration, the first evaluation value is a numerical value that can change over time, and the numerical data group is acquired at a first timing to execute the method according to claim 1, The numerical data group is acquired at a second timing after a predetermined time during which the first evaluation value can change after the first timing, and the method according to claim 1 is executed again. (Claim 6). According to this configuration, even when the maximum value and the minimum value of the numerical data change every day, the relative evaluation degree can be accurately displayed in each day.

  According to the present invention, when there is numerical data indicating the evaluation of a specific event such as co-sensitivity, the relative evaluation degree of the numerical data can be converted into a scale that can be easily understood by the user and displayed. Therefore, the user can easily understand the evaluation degree, and it is easy to take the next action based on the evaluation degree.

It is a block diagram which shows roughly the hardware constitutions of the network system to which the display method of the evaluation degree data which concerns on this invention is applied. 3 is a functional block diagram showing a functional configuration of a processing device 10. FIG. It is a table format figure which shows an example of the co-sensitivity value calculated by the analysis process part. 10 is a table format diagram showing a display data table according to Comparative Example 1. FIG. It is a table format figure which shows the display data table which concerns on the comparative example 2. FIG. It is a table format figure which shows the display data table which concerns on the comparative example 3. FIG. (A)-(c) is a figure which shows typically the procedure in the case of converting the analysis data table shown in FIG. 3 into display data based on the method of embodiment of this invention. It is a figure of a table format which shows the display data table which converted the analysis data table 40 shown in FIG. 3 according to the procedure of (a)-(c) of FIG. It is a schematic diagram which shows the fluctuation | variation state of the scale width of cosensitivity. It is a flowchart which shows the calculation operation | movement of a co-sensitivity degree. It is a flowchart which shows a display process of cosensitivity.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a block diagram schematically showing a hardware configuration of a network system S to which the evaluation degree data display method according to the present invention is applied. This network system S is owned by the processing device 10, the blog system 20 for developing the blog site 21 on the Internet, and the members A, B, C, D, E. The terminal devices 30 including the member terminal devices 31, 32, 33, 34, 35... Are connected via the Internet IN so that data communication is possible.

  The blog site 21 is a specific web site developed on the Internet, and is a site on which a diary document, a comment document for the diary document, and the like are posted.

  The members A to E are persons who disclose their attribute information to the site operator of the blog site 21 and are registered as members of the blog site 21. The members A to E post a diary document to the blog site 21 via their member terminal devices 31 to 35, post a comment document to the diary document, and further comment on the comment document. It is possible to post documents or browse these documents. The terminal device 30 is typically a personal computer connected to the Internet, a mobile phone, a portable information terminal, or the like.

  The blog system 20 includes a blog server 22 and a member server 23. The blog server 22 is a server for operating the blog site 21, and stores the document data of a document posted on the blog site 21 in association with various data such as the posting date of the document and the poster. It is. The member server 23 includes attribute information (name, member number, address, IP address of the terminal device, age) of a member (user) registered in the blog site 21, that is, a writer who is scheduled to post to the blog site 21. , Gender, interests, etc.).

  The processing device 10 performs multivariate analysis on the basis of the attributes and basic information of users who have a history of document communication with each other and data obtained by document analysis of documents created between these users and posted on the blog site 21. This is a device for evaluating the co-sensitivity of members who have not yet communicated with each other using the judgment formula obtained as a result. The processing apparatus 10 collates a diary document posted from a large number of users (describers) with a blog site 21 and a comment document, and performs a document analysis process to thereby make a comment description with the diary writer (sympathetic destination). Sympathy with the person (sympathy source).

  The co-sensitivity determination result is transmitted to the member terminal devices 31 to 35 and displayed when, for example, the members A to E access the blog site 21. In the present embodiment, an example in which the display method of evaluation degree data according to the present invention is applied to display of the co-sensitivity determination result. The members A to E who have received the co-sensitivity determination result are given information on other members who are likely to be compatible with the members. As a result, the member's active writing to the blog site 21 is induced, and the blog site 21 can be activated.

  FIG. 2 is a functional block diagram showing a functional configuration of the processing apparatus 10. The processing device 10 is a large computer device including a CPU (central processing unit) that performs the above-described classification processing, for example, and is connected to the blog server 22 and the member server 23 so as to be able to perform data communication. The CPU operates to include the functional unit shown in FIG. 2 by executing software programmed to perform the classification process. The processing device 10 functionally includes a document extraction unit 11, an analysis processing unit 12, and a display processing unit 13.

  For each user, the document extraction unit 11 responds to a diary document posted by the user and a diary document of another person or a comment document of another person from the document data stored in the blog server 22. And comment documents posted by. For example, the extraction period may be limited to within the past 24 hours, within the past 3 days, or within the past one week. The file data of the document extracted by the document group extraction unit 11 is temporarily stored in a document memory (not shown).

  The analysis processing unit 12 analyzes documents posted by users who have a history of document communication on the blog site 21, that is, analyzes documents exchanged between those who already sympathize with each other. A decision formula for evaluating co-sensitivity is derived by random analysis. As this document analysis, normalization processing of each classification target document, document structure analysis processing, and the like are performed. The normalization process is a process for deleting characters, symbols, and the like unnecessary for analysis from the classification target document and unifying full-width and half-width characters so that the document structure analysis can be normally performed. In the document structure analysis processing, for each classification target document after normalization processing, for example, morphological analysis is performed to divide the document into words, and parsing processing is performed to determine dependency between words (nouns and verbs). And the like. For such document structure analysis processing, the analysis processing unit 13 utilizes a thesaurus (synonym dictionary) that absorbs synonyms and notation fluctuations. As a method of multivariate analysis, for example, multiple regression analysis, discriminant analysis, quantification class I, and quantification class II can be employed. At this time, parameters obtained by the document analysis are appropriately set as “object variable” and “explanatory variable”.

  Furthermore, the analysis processing unit 12 performs a process of evaluating the co-sensitivity of the users X and Y who have not yet communicated using the determination formula. At this time, the document analysis is performed on the document that the user X and the user Y have posted to the blog site 21 with respect to other users in the past, and the parameters to be the “object variable” and “explanatory variable” are derived, A co-sensitivity value (first evaluation value) for calculating the co-sensitivity between users numerically by applying to the determination formula is calculated.

  FIG. 3 is a table format showing an example of the co-sensitivity value calculated by the analysis processing unit 12. In the analysis data table 40 shown in FIG. 3, the member A is the sympathetic source, and the member A posts the blog site 21 during a predetermined period (for example, the past one day) (members C, E, D, B). The co-sensitivity value is displayed. The co-sensitivity value of the analysis data table 40 is a numerical value that may change every time the analysis processing unit 12 performs the co-sensitivity value calculation process. For example, when the calculation process is performed every day, when the member A has posted a document with one or all of the members C, E, D, and B as the addressee until the calculation process time on the next day, Since new document analysis data is provided, the co-sensitivity value naturally varies.

  The display process 13 converts the co-sensitivity value of the analysis data table 40 into information that can be easily understood by the user, and transmits it to the terminal device 30 of the member. That is, the sensitivity value is a mechanical numerical value such as “212.33”, “87.2”, and so on. It is difficult to grasp a high degree of evaluation (this is called “co-sensitivity”). If such a co-sensitivity value is used, ranking can be performed in descending order of the co-sensitivity value and displayed as co-sensitivity, but what is the difference between the first and second rankings? It cannot be expressed whether there is.

  Therefore, the display processing unit 13 converts the co-sensitivity value into a numerical value or a symbol indicating the co-sensitivity (second evaluation value) by a predetermined method (described in detail later), and this is converted into, for example, the terminal device of the member A It transmits to 31 terminal 311. Such cosensitivity data is displayed on a display unit 31 such as a display provided in the terminal device 31.

  Here, a comparative example for the present embodiment will be described. FIG. 4 is a table format showing a display data table 41 according to Comparative Example 1 in which the analysis data table 40 shown in FIG. 3 is converted for display on the display unit 31. In this display data table 41, each member C, E, D, B is subjected to a process of rounding a numerical value by the maximum number of digits of each co-sensitivity value to the co-sensitivity value of member A obtained for each member C, E, D, B. The mutual sensitivity of the person is derived. For example, if the value of co-sensitivity = 90, the co-sensitivity value is any value from 85.0 to 94.9, and if the value of co-sensitivity = 100, the co-sensitivity value is 95.0-149. One of the values.

  In the method of Comparative Example 1, after all, the approximate value of the value of the co-sensitivity value as it is is only displayed as co-sensitivity. Therefore, there is a high possibility that the numerical value range of the co-sensitivity becomes wide as “200 to 1” as illustrated in FIG.

  FIG. 5 is a table format showing a display data table 42 according to Comparative Example 2 in which the analysis data table 40 shown in FIG. 3 is converted for display on the display unit 31. In this display data table 42, an example is shown in which the co-sensitivity value is scale-converted using a preset fixed threshold value, and this is used as co-sensitivity. Here, when the co-sensitivity value is 1 or more and less than 10, the co-sensitivity value is 3, when the co-sensitivity value is 10 or more and less than 100, the co-sensitivity value is 4, and when the co-sensitivity value is 100 or more and less than 500, the co-sensitivity value is 5. The case where the threshold value is set is illustrated.

  The method of Comparative Example 2 is useful when it is determined that the co-sensitivity value always takes a value within a certain range. However, the co-sensitivity value varies from day to day, and it has a property that it cannot be predicted what value it will be. For this reason, it is difficult to set a threshold value, and in the case where the co-sensitivity value fluctuates greatly beyond prediction, for example, a problem may occur in which the co-sensitivity for all members shows the maximum value.

  FIG. 6 is a table format showing a display data table 43 according to Comparative Example 3 in which the analysis data table 40 shown in FIG. 3 is converted for display on the display unit 31. In this display data table 43, an example is shown in which the deviation value of the co-sensitivity value is obtained, and the deviation value obtained by rounding the numerical value by the maximum number of digits in the same manner as in Comparative Example 1 is used as co-sensitivity. In the method of Comparative Example 3, the problem of Comparative Example 2 can be dealt with, but since the deviation value is used, the numerical value range of the co-sensitivity is generally narrowed, and the difference between the co-sensitivity values is expressed as the difference of co-sensitivity. It becomes difficult to do.

In view of the inconveniences of Comparative Examples 1 to 3 described above, the display processing unit 13 according to the present embodiment obtains cosensitivity based on the following steps (1) to (4).
(1) A numerical data group including the sympathy values for all the members who are sympathetic to the one member as a sympathy source is acquired from the analysis processing unit 12.
(2) The maximum value and the minimum value of the co-sensitivity value are specified in the numerical data group.
(3) A numerical value width of a difference between the maximum value and the minimum value is set as a scale width, and a scale that expresses the co-sensitivity with a numerical value within the range of the scale width is determined.
(4) The co-sensitivity values in the numerical data group are respectively converted according to the scale, and the co-sensitivity values are obtained.
(5) Providing the acquired mutual sensitivity to the one member.

  FIG. 7 is a diagram schematically showing a procedure when the steps (1) to (4) are applied to the conversion of the analysis data table 40 shown in FIG. 3 into display data. Here, first as a step (1), the display processing unit 13 acquires the analysis data table 40 of FIG. 3 from the analysis processing unit 12. In FIG. 7A, the sympathy value of each sympathy destination of the analysis data table 40 is displayed on the horizontal axis. Then, the co-sensitivity value of member B = 1.013 is specified as the minimum value, and the co-sensitivity value of member C = 212.33 is specified as the maximum value (step (2)).

  Next, the display processing unit 13 sets the numerical width of the minimum value 1.013 to the maximum value 212.33 as the scale width, and divides this scale width into 10 equal parts as shown in FIG. Determine the scale to express the degree. Of course, the evaluation of 10 steps is an example, and the number of steps lower than 10 or the number of steps higher than 10 may be used. In addition, although it is not always necessary to equally divide the scale width, there is an advantage that the process of determining the scale can be easily performed if it is equally divided.

  Thereafter, the display processing unit 13 converts the co-sensitivity value of the member A for each of the members C, E, D, and B according to the scale determined in FIG. FIG. 7C schematically shows the conversion state. FIG. 8 is a table format showing a display data table 44 obtained by converting the analysis data table 40 shown in FIG. 3 according to the procedure shown in FIGS. That is, the co-sensitivity values of the members C, E, D, and B in the analysis data table 40 are converted into co-sensitivity values 10, 5, 3, and 1, respectively, according to the scale of FIG.

Such a conversion method is generalized as follows. Here, α is the co-sensitivity value (first evaluation value), β is the co-sensitivity to be obtained (second evaluation value), α _{MAX is} the maximum value of the _{co-sensitivity} value, α _{MIN is} the minimum value of the co- _sensitivity value, and When the number of evaluation stages on the evaluation scale of the cosensitivity β is n, the cosensitivity value α can be converted into the cosensitivity β by the following equation.
β = (n−1) × (α−α _MIN ) / (α _MAX −α _MIN ) +1
In the example shown in FIG. 7, the evaluation phase number _{n = 10, α MAX = 212.33} , since it is alpha _MIN = 1.013, for example, if seeking sympathy degree beta _E to members E members A, the following It becomes street.
β _E = (10−1) × (87.2−1.013) / (212.33−1.013) + 1 = 4.67≈5

  For example, when the process of calculating the co-sensitivity value is performed on a daily basis, the display processing unit 13 performs a process of converting the co-sensitivity value into co-sensitivity at a predetermined time once a day. Depending on the contents of the documents exchanged in the blog site 21 in the past day, the co-sensitivity value varies greatly, and therefore the scale width for evaluating the co-sensitivity greatly varies.

  FIG. 9 is a schematic diagram showing a fluctuation state of the scale width of the cosensitivity. As described above, since the sympathy value changes daily, the scale width W of the sympathy degree with the member A as the sympathy source and the other members as the sympathy destination can also be changed every day. If the conversion result at the time of co-sensitivity calculation processing on the first day is as shown in the display data table 44 shown in FIG. 8, the co-sensitivity of member E is an intermediate value of the scale width W1.

  However, even if member A does not exchange documents with member E by the time of the calculation processing on the second day, the maximum value of the co-sensitivity value may decrease while the minimum value increases due to document communication with other members. is there. Looking at the scale width W2 on the second day, the co-sensitivity of member E is relatively higher. Conversely, at the time of calculation processing on the third day, an example is shown in which the maximum value of the co-sensitivity value is greatly increased. It will be located in the lower order.

  Furthermore, if the mutual sensitivity value of member A with respect to member E has increased due to document communication with member E by the time point of calculation processing on the fourth day, when the scale width W4 is viewed, Member E's mutual sensitivity is relatively high. However, if the maximum value of the co-sensitivity value increases up to the calculation processing time point on the fifth day, the co-sensitivity of the member E when viewed at the scale width W5 is decreased again. Therefore, when paying attention to the member E, the member A can accurately grasp the relative evaluation value for all the members of the co-sensitivity on a daily basis, and can know who is the member with the high (low) co-sensitivity.

  As described above, according to the present embodiment, the scale width W of the co-sensitivity is determined for each calculation process using the range from the maximum value to the minimum value of the co-sensitivity values derived by the analysis processing unit 12 as the scale width. . For this reason, even when the range, that is, when the maximum value or the minimum value cannot be predicted as in the case of the co-sensitivity value, the obtained co-sensitivity value for each member is relative based on the daily scale width. It can be converted into a co-sensitivity value with a clear evaluation degree. Therefore, it is possible to provide the sympathizer information in a form in which the relative evaluation is easy to understand for each member.

  The sympathizer information is provided from the display processing unit 13 to each member's terminal when the member accesses the blog site 21. At this time, the above-mentioned co-sensitivity value may be provided as it is, but after converting it to other symbol, character or figure data corresponding to the co-sensitivity value, it is provided to each terminal. Also good. For example, a display with a symbol such as ◯ Δ ×, a display with a heart mark or the like, a display with a smiley character or a character, a display with a figure or a bluff, a display with a sentence such as “very empathy”, etc. can be exemplified.

  Next, the co-sensitivity calculation operation in the processing apparatus 10 (exclusively the display processing unit 13) configured as described above will be described based on the flowchart shown in FIG. When the processing is started, the display processing unit 13 determines whether or not it is the acquisition timing of the co-sensitivity value data (numerical data group) obtained by the analysis processing unit 12 (step S1). If it is not the acquisition timing (NO in step S1), it waits, and if it is the acquisition timing (YES in step S1), that is, if it is the time of the empathy calculation process, the display processing unit 13 displays the empathy source, the empathy destination, and the sensitivity. Data including a value is acquired (step S2).

  Next, the display processing unit 13 executes sort processing for rearranging data using the empathy source as the primary key and the consensus value as the secondary key (step S3). As a result, the analysis data table 40 as shown in FIG. 3 is created in a state where the empathy sources are organized for each member. At this time, 1 to m numbering is sequentially given to a plurality of empathy elements n.

Thereafter, the display processing unit 13 sets the counter to n = 1 (step S4), and prepares for the calculation of the co-sensitivity for the first empathy source n (for example, member A). Then, for the empathy element n, the maximum value α _MAX and the minimum value α _{MIN of the sensitivity} value are specified (step S5). Then, the maximum value alpha _MAX and the minimum value alpha _MIN to check whether the same value (step S6). If the two values are not equal (NO in step S6), the display processing unit 13 performs a process of calculating the degree of sympathy for each sympathetic destination using the above calculation formula (step S7).

  On the other hand, if both values are the same (YES in step S6), it is determined whether the sympathy values of all the sympathy destinations are the same or there is only one sympathy destination. In this case, the degree of sympathy is relatively evaluated. has no meaning. Therefore, in this case, the sympathy degree of all sympathy destinations is set to an intermediate value (step S8). For example, if the degree of empathy is evaluated in 10 steps, the degree of empathy of all the sympathy destinations is evaluated as “5”.

  Subsequently, the display processing unit 13 stores the calculated value of the degree of sympathy for the first sympathetic element n in the memory area (step S9). Thereafter, it is confirmed whether or not the counter n = m (step S10). If n = m is not satisfied (NO in step S10), that is, if an unprocessed empathy source still remains, one counter is used. Increment (step S11), the process returns to step S5 to repeat the process in order to obtain the degree of sympathy for the second sympathy source n. On the other hand, if n = m (YES in step S10), the process ends.

  FIG. 11 is a flowchart showing the cosensitivity display process by the display processing unit 13. The display processing unit 13 waits until the sympathy source accesses the blog site 21 (step S21). When there is an access (YES in step S21), the value of the sympathy degree for the member of the sympathy source from the memory area. Is read (step S22). Then, it is confirmed whether or not the setting for converting the co-sensitivity to a mark (picture symbol or the like) is given (step S23).

  If there is a mark conversion setting (YES in step S23), the mark data is created (step S24), and the mark data is transmitted to the empathy terminal (step S25). If there is no setting for mark conversion (NO in step S23), the data of the value of cosensitivity is transmitted to the terminal device of empathy. Thereafter, the received empathy value or mark is displayed at the empathy source terminal (step S26), and the process ends.

  As mentioned above, although it demonstrated per embodiment of this invention, this invention is not limited to this, For example, the following deformation | transformation embodiment can be taken.

(1) In the above embodiment, an example is shown in which the first evaluation value is the co-sensitivity value and the second evaluation value is the co-sensitivity value. This is an example, and the present invention can be applied to various numerical data whose range of the first evaluation value cannot be predicted.

(2) In FIG. 9 and the like of the above embodiment, an example in which the interval between the first timing and the second timing is one day is shown. Depending on the type of data, it may be in units of hours or minutes, or in units of weeks, months, or years.

(3) In the above embodiment, an example in which only the second evaluation value (cosensitivity) is displayed on the display unit has been described. However, if the first evaluation value (cosensitivity value) has some usefulness, The first evaluation value may also be displayed on the display means.

  In order to express the present invention, the present invention has been properly and fully described through the embodiments with reference to the drawings. However, those skilled in the art can easily change and / or improve the above-described embodiments. It should be recognized that this is possible. Accordingly, unless the modifications or improvements implemented by those skilled in the art are at a level that departs from the scope of the claims recited in the claims, the modifications or improvements are not limited to the scope of the claims. To be construed as inclusive.

DESCRIPTION OF SYMBOLS 10 Processing apparatus 11 Document extraction part 12 Analysis processing part 13 Display processing part 20 Blog system 21 Blog site 30 Terminal apparatus 31-35 Member terminal apparatus 311 Terminal 312 Display part (display means)

Claims (6)

Obtaining a numerical data group including a plurality of first evaluation values expressing the evaluation of the specific event as a numerical value;
Identifying a maximum value and a minimum value of the first evaluation value in the numerical data group;
Determining a scale of a second evaluation value that represents a numerical value of an evaluation degree in a range of the scale width, wherein a numerical value width of a difference between the maximum value and the minimum value is a scale width;
Converting each of the first evaluation values in the numerical data group according to the scale to obtain a second evaluation value;
Displaying the second evaluation value on a predetermined display means;
An evaluation degree data display method characterized by comprising:   2. The evaluation degree data display method according to claim 1, wherein the scale of the second evaluation value is formed by equally dividing the numerical range of the difference between the maximum value and the minimum value. The first evaluation value alpha, the second evaluation value beta, the maximum value of alpha _MAX of the first evaluation _value, the minimum value alpha _MIN, and the number of evaluation phase in scale of the second evaluation value Is represented by the following formula: β = (n−1) × (α−α _MIN ) / (α _MAX −α _MIN ) +1
The method for displaying evaluation degree data according to claim 2, wherein the first evaluation value is converted into a second evaluation value by using.   When the difference between the maximum value and the minimum value is zero, the second evaluation value is converted by converting all of the first evaluation values into intermediate values between the maximum value and the minimum value of the scale. The method for displaying evaluation degree data according to claim 3, wherein:   5. The evaluation degree data according to claim 1, wherein the second evaluation value is displayed on the display unit after being converted into another symbol, character, or figure corresponding to the numerical value. How to display. The first evaluation value is a numerical value that can change over time,
The numerical data group is acquired at a first timing, and the method according to claim 1 is executed.
The numerical data group is acquired at a second timing after a predetermined time during which the first evaluation value can change after the first timing, and the method according to claim 1 is executed again. An evaluation degree data display method characterized by:

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