JP2006293855A - Character determination device, server computer, character diagnostic method, and character diagnostic program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a character diagnostic device which is capable of accurately determining a character, and is useful particularly in dating service WEB sites. <P>SOLUTION: The character determination device analyzes texts of e-mails or the like, detects a plurality of predetermined word habits (which are classified into a plurality of character categories and sub-categories), determines the most searched character category, and displays it on a determination result output column 202. The device also determines the most searched sub-category, and displays the content of the character corresponding to the sub-category on a character content output column 204. It further displays a facial image corresponding to the sub-category on a facial image output column 206. Furthermore, it displays a description of the searched word habit on a word habit content output column 208. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

The present invention relates to a personality diagnosis apparatus, a server computer, a personality diagnosis method, and a personality diagnosis program.

Conventional personality diagnostic equipment displays choices for colors such as “Aka”, “Kiro”, “Midori”, etc., allows you to select a color, displays options for an image for the selected color, and selects an image There is a device for performing personality diagnosis by making it (see Patent Document 1).
JP-A-7-194582

  However, in the personality diagnostic apparatus disclosed in Patent Document 1, since personality is diagnosed by selecting an image with respect to color, accurate personality diagnosis cannot be performed.

  Also, in recent years, there are increasing opportunities for unspecified people to communicate for the purpose of meeting through the WEB site (so-called dating site) on the Internet. We had to rely on the content of self-assessment when registering. That is, when information about the personality can be registered at the time of member registration, by registering the information about the personality, other members can know the personality of the member. However, in this case, since it is the content of the self-report, the information is not necessarily accurate. For these reasons, there has been a demand for a personality diagnostic device that is useful at sites for encounters.

  Accordingly, it is an object of the present invention to provide a personality diagnostic apparatus capable of accurately diagnosing personality, and in particular, a personality diagnostic apparatus useful in a WEB site intended for encounter.

  The present invention was created to solve the above-mentioned problems. First, it is a personality diagnosis device that stores data on the content of the personality for each of a plurality of predetermined personality classifications. A first storage means, a second storage means for storing personality classification data for each search element in a search element consisting of any one of a word, a phrase, and a sentence among a plurality of predetermined search elements; A search element stored in the second storage means in the sentence or sentence to be analyzed, and if a search element exists, an analysis means for counting the number of searches for each personality classification; and According to the result, the determination means for determining the personality classification having the largest number of searches, and the data for specifying the determination personality classification that is the personality classification determined to have the largest number of searches according to the determination by the determination means, And having output means for outputting, based on the data stored in said first storage means data of the contents of the corresponding character to the constant character classification, the.

  In the personality diagnosis apparatus having the first configuration, first, the analysis unit searches for the presence of the search element stored in the second storage unit in the sentence or sentence to be subjected to the personality diagnosis, and the search element exists. In this case, the number of searches is counted for each personality classification. The determining means determines the personality classification having the largest number of searches according to the result of the analyzing means, and then the output means is the personality classification determined to have the largest number of searches according to the determination by the determining means. Data specifying the judgment personality classification is output, and data of the personality content corresponding to the judgment personality classification is output based on the data stored in the first storage means. As a result, personality diagnosis is performed based on text search elements (for example, word 特 に), and in particular, personality diagnosis is performed based on sentences or sentences written by the person who wants to know the personality. Can do. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mail, but by using this system, the other person's personality can be known accurately, and the book can be found on the WEB site for the purpose of encounter. The personality diagnostic apparatus of the invention is extremely useful.

  The personality diagnostic apparatus having the first configuration may be configured as follows. That is, “a personality diagnosis device that stores data on the contents of personality for each of a plurality of predetermined personality classifications, and a plurality of predetermined search elements for words, phrases, and sentences. For each search element in any of the search elements, the second storage means storing personality classification data and the presence of the search element stored in the second storage means in the sentence or sentence that is the target of personality diagnosis And an analysis means for counting the number of searches for each personality classification, and an output means for outputting the data stored in the first storage means according to the result of the analysis means when there is a search element. A personality diagnostic apparatus characterized by the above. "

  Second, in the first configuration, the personality diagnosis apparatus includes a third storage unit that stores face image data for each personality classification, and the output unit corresponds to the determination personality classification. It outputs the data of the face image that has been processed.

  Therefore, it is possible to display a face image estimated from a sentence or a sentence and to image a person who wrote the sentence or the sentence.

  Thirdly, the personality diagnosis apparatus is a first storage means for storing data on the contents of the personality for each of the predetermined fine classifications in a plurality of predetermined personality classifications. A second storage means for storing the personality classification data and the subclassification data for each of the search elements in the search element consisting of any one of a word, a clause, and a sentence among a plurality of search elements; The search element stored in the second storage means is searched for in the sentence or sentence to be searched, and when the search element exists, the number of searches is counted for each personality classification and the number of searches for each small classification is calculated. Analyzing means for counting, and determining means for determining the personality classification having the largest number of searches in the personality classification according to the result of the analyzing means, and determining the fine classification having the largest number of searches in the fine classification, Size According to the determination of the means, the data for specifying the personality classification that is the personality classification that has been determined to have the largest number of searches is output, and the data of the personality content corresponding to the subclassification that has been determined to have the largest number of searches Output means for outputting based on the data stored in the first storage means.

  In the personality diagnosis apparatus having the third configuration, first, the analysis unit searches for the presence of the search element stored in the second storage unit in the sentence or sentence to be subjected to the personality diagnosis, and the search element exists. In this case, the number of searches is counted for each personality classification and the number of searches is counted for each small classification. Then, the determination means determines the personality classification having the largest number of searches in the personality classification according to the result of the analysis means, and determines the fine classification having the largest number of searches in the fine classification. Thereafter, the output means outputs data for specifying the judgment personality classification which is the personality classification determined to have the largest number of searches according to the judgment of the judgment means, and the sub-classification determined to have the largest number of searches. Data of the content of the corresponding personality is output based on the data stored in the first storage means. As a result, personality diagnosis is performed based on text search elements (for example, word 特 に), and in particular, personality diagnosis is performed based on sentences or sentences written by the person who wants to know the personality. Can do. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mail, but by using this system, the other person's personality can be known accurately, and the book can be found on the WEB site for the purpose of encounter. The personality diagnostic apparatus of the invention is extremely useful. In addition, by outputting data specifying the personality classification that is the personality classification that has been determined to have the largest number of searches, it is possible to know the outline of the personality and to the fine classification that has been determined to have the largest number of searches. Since the data of the corresponding personality contents are output based on the data stored in the first storage means, the personality can be known in more detail.

  The third configuration may be as follows. That is, “a personality diagnosis device, in which a plurality of predetermined personality classifications are stored in the first storage means storing data of the contents of the personality for each predetermined fine classification, and a plurality of predetermined search elements And a second storage means for storing the personality classification data and the subclassification data for each search element in the search element consisting of any one of a word, a phrase and a sentence, and a sentence or sentence to be subjected to personality diagnosis The analysis means for searching for the presence of the search element stored in the second storage means and counting the number of searches for each personality category and the number of searches for each of the small classifications when the search element exists And, according to the result of the analyzing means, output data for specifying the personality classification, and output means for outputting the data stored in the first storage means. Location. May be. "

  Fourth, in the third configuration, the personality diagnosis apparatus includes a third storage unit that stores face image data for each of the fine classifications, and the output unit has the largest number of searches. It is characterized in that face image data corresponding to the determined fine classification is output.

  Therefore, it is possible to display a face image estimated from a sentence or a sentence and to image a person who wrote the sentence or the sentence.

  Further, fifthly, in any one of the first to fourth configurations, the second storage means further stores data of the content of the character corresponding to the search element, and The output means outputs data of the content of the character corresponding to the search element searched by the analysis means for each searched search element. Thereby, the contents of the analysis element can be known, and the personality can be grasped in more detail.

  Sixth, a server computer that can be connected to a user-side terminal via a communication line, a first storage unit that stores data of the personality content for each of a plurality of predetermined personality classifications; A second storage means storing personality classification data for each search element in a search element consisting of any one of a word, a phrase, and a sentence among a plurality of predetermined search elements, and a personality diagnosis target from a user-side terminal Receiving means for receiving a sentence or sentence data, and searching for the presence of a search element stored in the second storage means in the sentence or sentence received by the receiving means. An analysis unit that counts the number of searches for each classification, a determination unit that determines a personality classification with the largest number of searches according to the result of the analysis unit, and a search number that is the largest according to the determination of the determination unit In order to display the data for identifying the judgment personality classification that is the defined personality classification and the data of the content of the personality corresponding to the judgment personality classification on the user side terminal, the data for identifying the judgment personality classification is displayed on the user side And transmitting means for transmitting data of personality contents corresponding to the determination personality classification to the user terminal based on the data stored in the first storage means.

  In the server computer having the sixth configuration, when the data of the sentence or sentence targeted for personality diagnosis is received from the user-side terminal by the receiving means, the analyzing means performs the second in the sentence or sentence targeted for personality diagnosis. The presence of the search element stored in the storage means is searched, and when the search element exists, the number of searches is counted for each personality classification. Then, the determining means determines the personality classification having the largest number of searches according to the result of the analyzing means, and then the transmitting means is the personality classification determined to have the largest number of searches according to the determination by the determining means. In order to display the data specifying the determination personality classification and the data of the personality content corresponding to the determination personality classification on the user terminal, the data specifying the determination personality classification is transmitted to the user terminal, Data of the personality content corresponding to the judgment personality classification is transmitted to the user terminal based on the data stored in the first storage means. As a result, personality diagnosis is performed based on a sentence search element (for example, word 癖), and in particular, personality diagnosis is performed based on a sentence or sentence written by a person who wants to know the personality. By transmitting data, personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mails. However, using this system makes it possible to know the other person's personality accurately, and it is extremely difficult on a WEB site for meeting purposes. Useful.

Seventhly, in the sixth configuration, the server computer has third storage means for storing face image data for each personality classification,
The transmission means transmits facial image data corresponding to the determination personality classification to a user terminal.

  Therefore, it is possible to display a face image estimated from a sentence or a sentence and to image a person who wrote the sentence or the sentence.

  Eighth, a server computer that can be connected to a user side terminal via a communication line, and stores data of the personality content for each of the predetermined subcategories in a plurality of predetermined personality categories The personality classification data and the sub-classification data are stored for each of the first storage means and each search element in a search element consisting of a word, a phrase, or a sentence among a plurality of predetermined search elements. Second storage means, receiving means for receiving sentence or sentence data to be subjected to personality diagnosis from the user terminal, and search elements stored in the second storage means in the sentence or sentence received by the receiving means In accordance with the result of the analysis means for searching for existence and counting the number of searches for each personality classification and counting the number of searches for each small classification when the search element exists In the personality classification, the personality classification having the largest number of searches is determined, the determination means for determining the fine classification having the largest number of searches in the fine classification, and the determination that the number of searches is the largest according to the determination of the determination means In order to display the data for identifying the judgment personality classification that is the personality classification and the data of the personality content corresponding to the fine classification judged to have the largest number of searches on the user side terminal, the judgment personality classification is The data to be identified is transmitted to the user terminal, and the personality data corresponding to the subclass determined to have the largest number of searches is transmitted to the user terminal based on the data stored in the first storage means. Transmitting means.

  In the server computer having the eighth configuration, when the receiving unit receives the data of the sentence or sentence to be subjected to the personality diagnosis from the user side terminal, the analyzing unit receives the second sentence in the sentence or sentence received by the receiving unit. The presence of the search element stored in the storage means is searched, and when the search element exists, the number of searches is counted for each personality category and the number of searches is counted for each small category. Then, the determination means determines the personality classification having the largest number of searches in the personality classification according to the result of the analysis means, and determines the fine classification having the largest number of searches in the fine classification. Thereafter, according to the determination by the determination unit, the transmission unit specifies data for specifying the determination personality classification that is the personality classification determined to have the largest number of searches, and the personality corresponding to the fine classification determined to have the largest number of searches. In order to display the data of the content on the user-side terminal, the data specifying the personality classification is transmitted to the user-side terminal, and the personality content corresponding to the subclass determined to have the largest number of searches Is transmitted to the user terminal based on the data stored in the first storage means. As a result, personality diagnosis is performed based on a sentence search element (for example, word 癖), and in particular, personality diagnosis is performed based on a sentence or sentence written by a person who wants to know the personality. By transmitting data, personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mails. However, using this system makes it possible to know the other person's personality accurately, and it is extremely difficult on a WEB site for meeting purposes. Useful. In addition, by outputting data specifying the personality classification that is the personality classification that has been determined to have the largest number of searches, it is possible to know the outline of the personality and to the fine classification that has been determined to have the largest number of searches. Since the data of the corresponding personality contents are output based on the data stored in the first storage means, the personality can be known in more detail.

  Ninth, in the eighth configuration, the server computer has a third storage unit that stores face image data for each of the fine classifications, and the transmission unit determines that the number of searches is the largest. It is characterized in that face image data corresponding to the classified sub-classification is transmitted to the user terminal.

  Therefore, it is possible to display a face image estimated from a sentence or a sentence and to image a person who wrote the sentence or the sentence.

  Tenth, in any one of the sixth to ninth configurations, the second storage means further stores data of personality content corresponding to the search element, and The transmitting means transmits data of the content of the character corresponding to the search element searched by the analyzing means for each searched search element. Thereby, the contents of the analysis element can be known, and the personality can be grasped in more detail.

  Eleventhly, the first storage means for storing data of the contents of the personality for each of a plurality of predetermined personality classifications, and a word, a phrase, or a sentence using a plurality of predetermined search elements A personality diagnosis method for diagnosing personality by a server computer having second storage means storing personality classification data for each search element in the search element, comprising: Receiving step of receiving sentence data, and searching for the presence of the search element stored in the second storage means in the sentence or sentence received by the receiving step, and when there is a search element, for each personality classification An analysis step for counting the number of searches, a determination step for determining the character classification with the largest number of searches according to the result of the analysis step, and a search number with the largest number according to the determination of the determination step In order to display on the user terminal the data specifying the determined personality classification that is the determined personality classification and the data of the personality content corresponding to the determined personality classification, the data specifying the determined personality classification is displayed on the user side And a transmission step of transmitting data of personality contents corresponding to the determination personality classification to the user terminal based on the data stored in the first storage means.

  In the personality diagnosis method of the eleventh configuration, when the sentence or sentence data to be subjected to the personality diagnosis is received from the user-side terminal in the receiving step, the analysis step receives the first sentence or sentence in the sentence or sentence received in the receiving step. (2) The presence of the search element stored in the storage means is searched, and when the search element exists, the number of searches is counted for each personality classification. Then, in the determination step, the personality classification having the largest number of searches is determined according to the result of the analysis step, and then, in the transmission step, the personality classification determined to have the largest number of searches according to the determination in the determination step. In order to display the data specifying the determination personality classification and the data of the personality content corresponding to the determination personality classification on the user terminal, the data specifying the determination personality classification is transmitted to the user terminal, Data of the personality content corresponding to the judgment personality classification is transmitted to the user terminal based on the data stored in the first storage means. As a result, personality diagnosis is performed based on a sentence search element (for example, word 癖), and in particular, personality diagnosis is performed based on a sentence or sentence written by a person who wants to know the personality. By transmitting data, personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mails. However, using this system makes it possible to know the other person's personality accurately, and it is extremely difficult on a WEB site for meeting purposes. Useful.

  Twelfth, in the eleventh configuration, the server computer has a third storage unit that stores face image data for each personality classification, and corresponds to the determination personality classification in the transmitting step. The facial image data is transmitted to the user terminal.

  Therefore, it is possible to display a face image estimated from a sentence or a sentence and to image a person who wrote the sentence or the sentence.

  In addition, in the thirteenth, a first storage means for storing data of the contents of the personality for each predetermined fine classification in a plurality of predetermined personality classifications, a word with a plurality of predetermined search elements, Personality diagnosis method for diagnosing personality by using a server computer having second storage means for storing personality classification data and subclassification data for each search element in a search element consisting of either a phrase or a sentence A receiving step for receiving a sentence or sentence data to be subjected to personality diagnosis from the user side terminal, and the presence of a search element stored in the second storage means in the sentence or sentence received by the receiving step. In addition to the search, if there is a search element, an analysis step of counting the number of searches for each personality category and counting the number of searches for each of the small categories, and a result of the analysis step And determining the personality classification having the largest number of searches in the personality classification, determining the fine classification having the largest number of searches in the fine classification, and determining the finest classification according to the determination in the determination step. In order to display on the user terminal the data identifying the determined personality classification, which is the determined personality classification, and the data of the personality content corresponding to the subclass determined to have the largest number of searches, the determined personality classification Is transmitted to the user side terminal, and the data of the personality content corresponding to the subclass determined to have the largest number of searches is transmitted to the user side terminal based on the data stored in the first storage means. And a transmitting step for transmitting.

  In the personality diagnosis method of the thirteenth configuration, when data of a sentence or sentence to be subjected to personality diagnosis is received from the user-side terminal in the reception process, the analysis process includes the first sentence or sentence in the sentence or sentence received in the reception process. (2) The presence of the search element stored in the storage means is searched, and when the search element exists, the number of searches is counted for each personality category and the number of searches is counted for each minor category. In the determination step, according to the result of the analysis step, the personality classification having the largest number of searches in the personality classification is determined, and the fine classification having the largest number of searches in the fine classification is determined. Thereafter, in the transmission step, according to the determination in the determination step, data specifying the determination personality classification that is the personality classification determined to have the largest number of searches, and the personality corresponding to the fine classification determined to have the largest number of searches. In order to display the data of the content on the user-side terminal, the data specifying the personality classification is transmitted to the user-side terminal, and the personality content corresponding to the subclass determined to have the largest number of searches Is transmitted to the user terminal based on the data stored in the first storage means. As a result, personality diagnosis is performed based on a sentence search element (for example, word 癖), and in particular, personality diagnosis is performed based on a sentence or sentence written by a person who wants to know the personality. By transmitting data, personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mails. However, using this system makes it possible to know the other person's personality accurately, and it is extremely difficult on a WEB site for meeting purposes. Useful. In addition, by outputting data specifying the personality classification that is the personality classification that has been determined to have the largest number of searches, it is possible to know the outline of the personality and to the fine classification that has been determined to have the largest number of searches. Since the data of the corresponding personality contents are output based on the data stored in the first storage means, the personality can be known in more detail.

  In the fourteenth aspect, in the thirteenth configuration, the server computer has a third storage unit that stores face image data for each sub-classification, and it is determined that the number of searches is the largest in the transmission step. It is characterized in that face image data corresponding to the classified sub-classification is transmitted to the user terminal.

  Therefore, it is possible to display a face image estimated from a sentence or a sentence and to image a person who wrote the sentence or the sentence.

  In the fifteenth aspect, in any one of the eleventh to fourteenth configurations, the second storage unit further stores data of personality content corresponding to the search element, and In the transmission step, the data of the character content corresponding to the search element searched in the analysis step is transmitted for each searched search element. Thereby, the contents of the analysis element can be known, and the personality can be grasped in more detail.

  The sixteenth aspect is a personality diagnosis program, in which a search element comprising any one of a word, a phrase, and a sentence by a plurality of predetermined search elements in a storage means in a sentence or a sentence to be subjected to personality diagnosis. For each search element, the presence of the search element stored in the storage means (search element storage means) storing the personality classification data is searched, and if there is a search element, the number of searches for each personality classification is calculated. An analysis process for counting, a determination process for determining a personality classification having the largest number of searches according to a result of the analysis process, and a determination personality classification that is a personality classification determined to have the largest number of searches according to the determination of the determination process Data for identifying the personality content corresponding to the judgment personality classification is stored in the storage means, and the personality content data is recorded for each of a plurality of predetermined personality classifications. And having to the output process of outputting, based on the data stored in the storage means is a.

  In the sixteenth configuration, the personality diagnosis is performed based on a text search element (for example, word 癖), and in particular, the personality diagnosis is performed based on a sentence or a sentence written by a person who wants to know the personality. By transmitting sentence data or sentence data, the personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mails. However, using this system makes it possible to know the other person's personality accurately, and it is extremely difficult on a WEB site for meeting purposes. Useful.

  In the sixteenth configuration, in the output process, face image data corresponding to the determination personality classification is output based on data stored in a storage unit that stores facial image data for each personality classification. It is good also as what is characterized by this.

  Seventeenthly, in the personality diagnosis program, in a sentence or sentence to be subjected to personality diagnosis, the storage means is a search element comprising any one of a word, a phrase, and a sentence by a plurality of predetermined search elements. For each search element in, the presence of the search element stored in the storage means (search element storage means) storing the personality classification data and the sub-classification data is searched, and when the search element exists An analysis process that counts the number of searches for each personality classification and counts the number of searches for each of the small classifications, and determines a personality classification with the largest number of searches in the personality classification according to the result of the analysis process, Data for identifying a judgment personality classification that is a personality classification that is determined to have the largest number of searches according to the determination processing according to the determination of the determination process, and a determination unit that determines the fine classification with the largest number of searches in the classification The data of the personality content corresponding to the subcategory determined to have the largest number of searches is output and the personality content for each subcategory that is predetermined in a plurality of predetermined personality categories in the storage means Output processing based on the data stored in the storage means storing the data.

  Therefore, in the seventeenth configuration, the personality diagnosis is performed based on a sentence search element (for example, word 癖), and in particular, the personality diagnosis is performed based on a sentence or a sentence written by a person who wants to know the personality. By transmitting sentence or sentence data from the terminal, personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mails. However, using this system makes it possible to know the other person's personality accurately, and it is extremely difficult on a WEB site for meeting purposes. Useful. In addition, by outputting data specifying the personality classification that is the personality classification that has been determined to have the largest number of searches, it is possible to know the outline of the personality and to the fine classification that has been determined to have the largest number of searches. Since the data of the corresponding personality content is output, the personality can be known in more detail.

  In the seventeenth configuration, the face image data corresponding to the fine classification determined to have the largest number of searches in the output process is stored in the storage means that stores the face image data for each fine classification. It is good also as what is characterized by outputting based on the performed data.

  Further, in the sixteenth or seventeenth configuration or a configuration subordinate thereto, the storage means (search element storage means) further stores data of the content of the character corresponding to the search element, and In the output process, data of the content corresponding to the search element searched by the analysis process may be output for each searched search element.

  In each of the above configurations, the storage means (third storage means) that stores face image data stores face image data according to gender and age (or age) in each sub-classification, It is preferable to output predetermined face image data in accordance with separately input sex and age data. In each of the above configurations, the search element may be a predetermined word phrase.

  According to the personality diagnosis apparatus, server computer, and personality diagnosis method according to the present invention, personality diagnosis is performed based on a sentence search element (for example, word 癖), and in particular, sentences or sentences written by those who want to know their personality. Since the personality diagnosis is performed based on the personality diagnosis, the personality diagnosis can be performed more accurately. In particular, in a WEB site for the purpose of encounter, it is common to send and receive e-mails. However, in the present invention, personality is diagnosed based on the text of the e-mail. In particular, it is difficult to understand the other person's personality only by exchanging e-mail, but by using this system, the other person's personality can be known accurately, and the book can be found on the WEB site for the purpose of encounter. The personality diagnostic apparatus of the invention is extremely useful.

  In the present invention, the object of providing a personality diagnosis apparatus capable of accurately diagnosing personality, particularly a personality diagnosis apparatus useful for encountering a WEB site has been realized as follows.

  A server-side terminal (server computer) A as a personality diagnosis apparatus according to the present invention can be connected to an external terminal via a communication network N (specifically, the Internet). That is, as shown in FIG. 1, the server side terminal A can communicate with the user side terminal B via the Internet. It can be said that the server side terminal A is connected to the user side terminal B by an electric communication line (including wired and wireless).

  The configuration of the server-side terminal A will be described. The server-side terminal A includes a communication unit 10, a storage unit 20, and a CPU 30 as illustrated in FIG.

  Here, the communication unit 10 controls input / output of data with the outside, and is configured by a communication device that enables communication with the outside via the Internet. That is, the communication unit 10 functions as an interface with the outside.

  The storage unit 20 is a storage device for storing various information, and mainly functions as an auxiliary storage device. The storage unit 20 includes a program storage unit 22 and a data storage unit 24.

  The program storage unit 22 is a storage unit that stores various programs for operating the server-side terminal A, and mainly stores a program for controlling the operation of the CPU 30. This program includes a screen display program that is a program for displaying a predetermined screen when accessed from an external terminal, a screen display program for outputting diagnostic contents, and the like, based on input from an external terminal. An input detection program that is a program for detecting received data and a program that analyzes a specified sentence (that is, whether a specified sentence has a search target word search (search element)) A sentence analysis program (that is, a program for performing the operation shown in the flowchart shown in FIG. 6), which is a program stored in the count table T4 (see FIG. 5), or a program that performs diagnosis based on the analysis result of the sentence analysis program. Examples include diagnostic programs. The program storage unit 22 is configured with each program stored in a storage device. The program stored in the program storage unit 22 corresponds to the personality diagnosis program.

  The data storage unit 24 is a storage unit for storing various data. Specifically, the data storage unit 24 is configured by a storage device.

  That is, the data storage unit 24 stores a personality commentary table T1 as shown in FIG. 2, a word phrase table T2 as shown in FIG. 3, a face image table T3 as shown in FIG. 4, and a count table T4 as shown in FIG. Has been. Further, screen data to be displayed on the user terminal B as shown in FIGS. 8 to 10 and the like is also stored.

  Here, as shown in FIG. 2, the personality commentary table T1 stores personality content data for each of the small personality classifications. The major personality classifications include “attack type” and “excitement”. "Type", "childish type", "self-assertion type", "advanced type", "subordinate type", "dependent type", "indifference type", "leaning type", "idea-fixed type", "biased type", There are 13 types of “unconfidence type” and “anxiety type”, and a plurality of small classifications are provided for each of the 13 classifications, and the data of the personality content is stored for each of the small classifications. The small classifications are numbered as “1”, “2”, “3”, and the smaller the number, the stronger the type. In addition, the total number of small classifications is n. In other words, the total number of small classifications for each personality classification (major classification) is n. In the following, the personality classification of the large classification is displayed as “personal classification (major classification)”, and the personality classification of the small classification is simply displayed as “small classification”. This personality explanation table T1 corresponds to the first storage means.

  Next, the word phrase table T2 stores a personality classification (major classification), a small classification, and a content (commentary) about the word phrase for each word phrase. Note that the word 癖 is considered as each part that separates sentences, and, for example, a phrase corresponds to this. In creating this word-and-word table, select a clause that seems to be useful for character diagnosis, evaluate the personality classification (major classification) and small classification of each phrase, store them in the word-and-word table T2, and from the phrase It can be said that the contents of the inferred personality are stored. In addition, this vocabulary may be a word or a sentence as well as a phrase. In addition, one word jar does not necessarily enter only one personality category (major category), and one word jar may enter a plurality of character categories (major category). This word table T2 corresponds to the second storage means.

  Next, the face image table T3 stores face image data for each combination obtained by personality classification (major classification), small classification, sex, and age, and personality classification (major classification) and It stores facial image illustrations that are expected from the small classification, gender, and age. That is, in creating the face image table T3, a face image normally predicted from the personality classification (major classification), the small classification, the gender, and the age is created and stored as an illustration. The age is specified every 10 years. The face image table T3 corresponds to the third storage unit.

  Next, the count table T4 is a table for writing the count number for each minor classification of the personality classification. In other words, in the sentence to be searched, it is searched whether or not each word phrase stored in the word phrase table is in the sentence. Add 1 to the minor category count corresponding to the word 癖.

  The data storage unit 24 also has a member management table (not shown). This member registration table stores data about each member when the user side terminal B accesses the server side terminal A, displays the member registration screen, and performs member registration. Information such as ID, password, name, address, date of birth, gender, and e-mail address is stored.

  The CPU 30 controls the operation of each unit in the server-side terminal A, and has functions as a control device, a calculation device, and a main storage device. In particular, the CPU 30 operates according to each program stored in the program storage unit 22. In particular, it operates as shown in the flowchart shown below.

  Further, the server-side terminal A has an e-mail transmission / reception function. When an e-mail is transmitted from an e-mail source to an e-mail address as a destination, the server-side terminal A E-mail data is stored, and when accessed from a terminal specified by the e-mail address as the destination and an e-mail receiving operation is performed at the terminal, the e-mail data is transmitted to the terminal .

  Further, the data storage unit 24 of the server side terminal A is provided with a storage area (folder) for each member, and in the storage area, a transmitted folder for storing an e-mail transmitted by the member. And a received folder for storing e-mails received by the member, and data stored in the received folder or data stored in the transmitted folder in accordance with access from the member. Is sent and displayed.

  The user side terminal B is a computer that can be connected to the server side terminal A via the Internet, and includes a display unit such as a CRT and an LCD, and an input unit such as a keyboard and a mouse. The server side terminal A and the user side terminal B constitute a personality diagnosis overall system W.

  Next, the operation of the server side terminal A, particularly the personality diagnosis method performed by the server side terminal A will be described.

  When displaying a screen from the server-side terminal A to the user-side terminal B, according to the screen display program, the display data of the screen, that is, data in html format is transmitted to the terminal, and the user who has received it In the side terminal B, the display data is displayed on the display unit.

  In each screen displayed on the user side terminal B, data input by selection input or click input by clicking or the like is sent to the server side terminal A, sent to the CPU 30 via the communication unit 10, and stored in the program. The content of the input data is detected in accordance with an input detection program that is a predetermined program for detecting the input data stored in the unit 22. In the present application, the term “input” includes the concept of all inputs such as selection input and write input unless otherwise specified. The detected input data is temporarily held by the CPU 30 and stored in the data storage unit 24. In the user terminal B, when a selection button such as a plurality of click buttons is displayed on the screen and any of the selection buttons can be selected, the selection is performed by an input means such as a mouse. In addition, in each screen described below, when there is no necessary input from the user side terminal B, it is preferable to display an instruction of contents prompting the input on the terminal.

  First, a case where character diagnosis is performed by pasting sentence data will be described. It is assumed that the user of the user terminal B accesses the server terminal A via the Internet using the user terminal B. For example, when the user of the user terminal B makes a call to the terminal of the provider to which the user has a contract, the URL of the server terminal A (particularly, the URL set for performing personality diagnosis by pasting text data) ) Is specified and the server side terminal A is accessed.

  Then, a text pasting screen G1 as shown in FIG. The text pasting screen G1 is provided with a text pasting field 100 and an input field 102 for inputting the sex and age of the author of the text.

  Therefore, in the user-side terminal B, the user pastes a sentence for personality diagnosis on the sentence pasting column 100. That is, the text data of the sentence is copied or cut and pasted in the sentence pasting field 100. In the input field 102, the gender and age of the author of the pasted sentence are entered. If the gender or age of the author is unknown, enter it as expected.

  When the pasting to the text pasting column 100 and the input to the input column 102 are completed, the “diagnosis” icon 104 is clicked.

  Then, the text data pasted on the text pasting screen G1 and the data entered in the input field 102 are sent to the server side terminal A and received at the server side terminal A, and these data are detected. Detection is performed by the input detection program. These detected data are temporarily stored in the data storage unit 24. At the time of reception, the communication unit 10 and the CPU 30 operate. These function as the reception unit, and reception of the data corresponds to the reception process.

  Next, in the server side terminal A, the sentence pasted on the sentence pasting screen G1 is analyzed. That is, sentence analysis is performed. This sentence analysis is performed by the CPU 30 in accordance with the sentence analysis program as shown in the flowchart shown in FIG. In this case, the sentence analysis program and the CPU 30 operating in accordance with this function as the analysis means. Moreover, the process shown in FIG. 6 corresponds to the analysis process or the analysis process.

  That is, first, the first search target word phrase is specified (S11). That is, the word search to be searched first in the word table T2 is specified. The order of word phrases to be searched in the word phrase table T2 is determined in advance, and the word phrases to be searched first are also determined in advance. For example, the word stored first in the word table T2 (in the example of FIG. 3, “I don't want to do it”).

  Then, it is searched whether or not the word to be searched is in the sentence (S12). In other words, the search is performed from the beginning to the end of the sentence, and it is searched whether or not the word to be searched exists in the sentence (S13).

  If the search target word phrase exists in the text, the personality classification (major classification) and the count number corresponding to the small classification are added to the count table T4, and the data is stored. Data for specifying the search target word phrase storage unit provided in the unit 24 is stored (S14). At that time, when a plurality of search target words are searched, the count is added by the number of searched words. In addition, when the search target word phrase is included in a plurality of personality classifications, the count number is added for each personality classification. For example, when a certain search target word phrase is included in two types, a dependency type and a leaning type, count numbers corresponding to the personality classification (major classification) and the minor classification are added. The reason why the data for specifying the search target word phrase is stored in the detected word phrase storage unit is to output the contents of the word phrase in step S24. Further, after step S14, the process proceeds to step S15. On the other hand, if it is determined in step S13 that there is no word search target in the sentence, the process proceeds to step S15.

  Next, in step S15, it is determined whether there are other search target words. That is, it is determined whether or not there is a word trap that has not been searched yet. If there is another word to be searched, the process proceeds to step S16 to specify the next word to be searched. That is, since the order of the word phrases to be searched in the word phrase table T2 is determined in advance, the word phrase to be searched next is specified according to the order. On the other hand, if the search for all the words is completed in step S15, the sentence analysis process is terminated.

  In step S16, if the next search target word phrase is specified, the process returns to step S12 and the above processing is performed again. Then, the process from step S12 to S16 is repeated until the process is completed for all the word phrases. In a state where the processing has been completed for all the word phrases, the number of searched word phrases is counted for each personality category (major category) and minor category in the count table T4.

  Next, based on the result of the sentence analysis, personality diagnosis is performed. That is, personality diagnosis is performed by performing predetermined calculation or determination based on the result of the sentence analysis. This personality diagnosis is performed mainly based on the above diagnostic program.

  That is, as shown in FIG. 7, numerical data is calculated and held in accordance with the contents held in the count table T4 (S21). That is, based on the data held in the count table T4, the count number is integrated for each personality classification (major classification) to calculate the count number for each personality classification (major classification). For example, the attack type is 3, the excitement type is 1, the childish type is 6, and so on. The calculated data is held in the data storage unit 24.

  Next, according to the data calculated in step S21, the personality classification (major classification) having the largest number of searches is determined, and the determination result is held (S22). That is, the personality classification (major classification) having the largest number of searches among the personality classification (major classification) is determined, and the determination result is held in the data storage unit 24. The personality classification (major classification) with the largest number of searches is the determination personality classification.

  Next, according to the content held in the count table T4, the small classification having the largest number of searches is determined, and the determination result is held (S23). That is, the subclass with the largest number of searches among the n subclasses in the count table T4 is determined, and the determination result is stored in the data storage unit 24. Note that the determinations in steps S22 and S23 are made based on the diagnostic program. At this time, the diagnostic program and the CPU 30 operating in accordance with the diagnostic program function as the determination means. These determinations correspond to the determination step and the determination process.

  Next, output is performed based on the diagnosis result. That is, the calculation result of step S21 is output, the determination result of step S22 is output, the predetermined output is performed based on the determination result of step S23, and the predetermined output is performed for each searched word phrase. . That is, these data are output by being transmitted to the user terminal B through the communication unit 10. These outputs are mainly performed by the screen display program. At that time, the screen display program and the CPU 30 operating according to the screen display program operate as the output means and the transmission means. Further, these outputs correspond to the output process, the transmission process, and the output process.

  The specific output contents are as shown in the diagnosis contents output screen G2 shown in FIG. That is, as shown in the numerical data output column 200, the number of searches for each personality classification (major classification) is displayed as the calculation result of step S21. In addition, the determination result of step S22 is displayed as shown in the determination result output column 202, and in this determination result output column 202, the personality classification (major classification) with the largest number of searches is displayed. In the example of FIG. 9, it is displayed that the person who wrote the sentence is a childish type.

  The output based on the determination result in step S23 is displayed as shown in the personality content output column 204 and the face image output column 206. That is, in the personality content output column 204, the content corresponding to the small classification with the largest number of searches is selected from the personality commentary table T1 and displayed, and the face image display unit 206 displays the face image table T3. The face image corresponding to the small category with the largest number of searches is displayed. Although the face image table T3 is classified according to gender and age, the face image is selected and displayed based on the small classification with the largest number of searches and the gender and age input on the text pasting screen G1. Is done.

  Further, the output for each searched word phrase is displayed as shown in the word phrase content output field 208. That is, based on the data for specifying the word phrase stored in the detected word phrase storage unit, the content corresponding to the word phrase is selected from the word phrase table T2, and the word phrase itself (for example, “ "It's amazing" (see Fig. 9)).

  In addition, since no personality diagnosis can be performed when no word search is found in the above sentence analysis, a display indicating that the personality diagnosis could not be performed because the word search could not be performed. .

  The diagnostic contents are displayed as described above. If there are a plurality of personality classifications (major classifications) with the largest number of searches, the determination result output column 202 displays all the plural personality classifications (major classifications). In addition, when there are a plurality of personality classifications (major classification) with the largest number of searches, one of the personality classifications (major classification) with the largest number of searches may be displayed. If there are a plurality of small classifications with the largest number of searches, the personality content output column 204 displays all the contents corresponding to those small classifications in the personality commentary table T1. When there are a plurality of small categories having the largest number of searches, the contents of any of the small categories having the largest number of searches may be displayed.

  Next, a case where a personality diagnosis is performed when a user accesses the server-side terminal A and browses the contents of the received folder of the user will be described.

  That is, the user of the user side terminal B accesses the server side terminal A, and in particular accesses a URL for viewing the contents stored in his storage area. At that time, the user is authenticated, and an ID and a password given to each user are input, and then the contents of the received folder and the contents of the transmitted folder in the storage area of the user are displayed. The received mail display screen G3 shown in FIG. 10 is an example in which the contents of the received folder in the storage area of the user are displayed. That is, the received mail display screen G3 is provided with a list display field 300 and an individual e-mail display field 302, and the contents of the e-mail designated in the list display field 300 are displayed in the individual e-mail display field 302. In the lower column of the received mail display screen G3, “Reply” used when replying to the received e-mail, “Forward” for transferring the received e-mail, and transmission of the received e-mail address are displayed. Each icon such as “Add to address book” used when adding the original mail address to the address book is provided. Since the received mail display screen G3 is configured as described above, it can be said that the received mail display screen G3 has the same configuration as the received mail display screen in the mail software. In addition, the received mail display screen G3 in this embodiment is provided with an icon of “Perform personality diagnosis”, and the personality diagnosis is performed on the text of the email displayed in the individual email display field 302. Then, click the “Personality diagnosis” icon.

  The operation when the “Diagnosis of personality” icon is clicked is substantially the same as the case of performing personality diagnosis by pasting the text data. That is, sentence analysis is performed on the sentence of the electronic mail according to the flowchart shown in FIG. 6, and then personality diagnosis is performed based on the result of the sentence analysis, and output is performed based on the diagnosis result (see FIG. 7). In the output, the diagnostic content output screen G2 as shown in FIG. 9 is displayed in the same manner as in the case of performing personality diagnosis by pasting the text data.

  When performing personality diagnosis from the received e-mail, gender and age are not input, but this is based on the premise that the received e-mail is an e-mail from a member registered in the server side terminal A. Yes, since each member's e-mail address, gender, and age data are registered in the data storage unit 24 of the server A, the e-mail address is obtained from the information of the e-mail address of the sender attached to the received e-mail. Gender and age data can be acquired, and face images are selected and displayed based on these data.

  If no words are found in the above sentence analysis, no personality diagnosis can be performed. As in the above case, a display indicating that no personality diagnosis was possible because no word recognition was found. Will do.

  As described above, in the server side terminal A of the present embodiment, the personality diagnosis is performed based on the word vocabulary of the sentence, and in particular, the personality diagnosis is performed based on the word vocabulary of the sentence written by the person who wants to know the personality. Personality diagnosis can be performed more accurately. In addition, in particular, in a WEB site (specifically, a dating site) intended for encounters, it is common to send and receive emails. The personality is diagnosed accurately, so the personality can be diagnosed accurately. In particular, it is difficult to understand the personality of the other party only by exchanging e-mails, but it is possible to know the personality of the other party accurately by using this system. It is very useful in WEB sites for meeting people.

  In particular, in this embodiment, the personality classification includes a major classification and a minor classification, the major classification and the minor classification are determined (S22, S23), and the numerical data output column 200 and the determination result output column 202 are determined. Since the output is performed according to the large classification and the personality content output column 204 and the face image output column 206 are output according to the small classification, the personality is roughly grasped by the numerical data output column 200 and the determination result output column 202. In addition, the personality can be grasped in more detail by the personality content output column 204 and the face image output column 206. Further, since the contents of each word box are explained in the word box content output column 208, the personality can be grasped in more detail.

  In the above description, the personality classification is classified into the major classification and the minor classification, the major classification and the minor classification are determined (S22, S23), and the numerical data output column 200 and the determination result output column 202 are determined. In the personality diagnosis based on the result of sentence analysis, the personality content output field 204 and the face image output field 206 are output in accordance with the small classification, but only the large classification is set as the classification. May determine only the major classification and output the personality content output column 204 and the face image output column 206 according to the major classification. By adopting such a configuration, a personality diagnosis device with a simple configuration can be configured.

  In the above description, the personality diagnosis is performed based on a sentence. However, the personality diagnosis can be performed not only from a sentence composed of a plurality of sentences but also from a sentence. However, personality diagnosis cannot be performed if the word habit is not searched.

  In the above description, the case where the server-side terminal A has the function of the personality diagnosis device has been described. However, the personal computer is configured as the personality diagnosis device by providing the personality diagnosis with the function described above. Also good. In that case, the program and data stored in the storage unit 20 are configured to be stored in the personal computer.

It is a block diagram which shows the structure of the personality diagnosis whole system based on the Example of this invention, especially a server side terminal. It is explanatory drawing which shows the structure of a character description table. It is explanatory drawing which shows the structure of a word jar table. It is explanatory drawing which shows the structure of a face image table. It is explanatory drawing which shows the structure of a count table. It is a flowchart explaining operation | movement of a server side terminal. It is a flowchart explaining operation | movement of a server side terminal. It is explanatory drawing which shows the structure of a text sticking screen. It is explanatory drawing which shows the structure of a diagnostic content output screen. It is explanatory drawing which shows the structure of a received mail display screen.

Explanation of symbols

A server side terminal B user side terminal 10 communication unit 20 storage unit 22 program storage unit 24 data storage unit 30 CPU
T1 Personality commentary table T2 Words table T3 Face image table T4 Count table

Claims (17)

A personality diagnostic device,
First storage means for storing data of the contents of the personality for each of a plurality of predetermined personality classifications;
A second storage means for storing personality classification data for each search element in a search element consisting of any one of a word, a clause, and a sentence among a plurality of predetermined search elements;
An analysis unit that searches for the presence of a search element stored in the second storage unit in a sentence or sentence targeted for personality diagnosis, and counts the number of searches for each personality classification when a search element exists;
In accordance with the result of the analysis means, determination means for determining the personality classification with the largest number of searches;
According to the determination by the determination means, the data for specifying the determination personality classification which is the personality classification determined to have the largest number of searches is output, and the data of the personality content corresponding to the determination personality classification is the first storage means Output means for outputting based on the data stored in
A personality diagnostic apparatus characterized by comprising: The personality diagnostic apparatus has a third storage means for storing facial image data for each personality classification,
The personality diagnosis apparatus according to claim 1, wherein the output unit outputs face image data corresponding to the determination personality classification. A personality diagnostic device,
First storage means for storing data of the contents of the personality for each predetermined fine classification in a plurality of predetermined personality classifications;
Second storage means for storing the personality classification data and the fine classification data for each search element in a search element consisting of any one of a word, a clause, and a sentence in a plurality of predetermined search elements;
In the sentence or sentence targeted for personality diagnosis, the presence of the search element stored in the second storage means is searched, and when the search element exists, the number of searches is counted for each personality classification and the small classification Analysis means for counting the number of searches for each,
In accordance with the result of the analysis means, the determination means for determining the personality classification having the largest number of searches in the personality classification, and for determining the fine classification having the largest number of searches in the fine classification,
In accordance with the determination by the determination means, the data for specifying the determination personality classification that is the personality classification determined to have the largest number of searches is output, and the personality content corresponding to the fine classification determined to have the largest number of searches Output means for outputting data based on the data stored in the first storage means;
A personality diagnostic apparatus characterized by comprising: The personality diagnostic apparatus has third storage means for storing face image data for each of the above-mentioned sub-classifications,
4. The personality diagnosis apparatus according to claim 3, wherein the output means outputs face image data corresponding to a fine classification determined to have the largest number of searches. The second storage means further stores personality content data corresponding to the search element, and the output means stores personality content data corresponding to the search element searched by the analysis means. 5. The personality diagnosis apparatus according to claim 1, 2, 3, or 4, wherein each character is output for each searched search element. A server computer connectable to a user terminal via a communication line,
First storage means for storing data of the contents of the personality for each of a plurality of predetermined personality classifications;
A second storage means for storing personality classification data for each search element in a search element consisting of any one of a word, a clause, and a sentence among a plurality of predetermined search elements;
Receiving means for receiving text or sentence data to be subjected to personality diagnosis from a user-side terminal;
An analysis unit that searches for the presence of the search element stored in the second storage unit in the sentence or sentence received by the reception unit, and counts the number of searches for each personality classification when the search element exists;
In accordance with the result of the analysis means, determination means for determining the personality classification with the largest number of searches;
In order to display on the user terminal the data for specifying the determination personality classification that is the personality classification determined to have the largest number of searches according to the determination by the determination means and the data of the personality content corresponding to the determination personality classification In addition, data specifying the determination personality classification is transmitted to the user side terminal, and data of personality contents corresponding to the determination personality classification is transmitted to the user side terminal based on the data stored in the first storage means. A transmission means;
A server computer characterized by comprising: The server computer has third storage means for storing face image data for each personality classification;
The server computer according to claim 6, wherein the transmitting unit transmits face image data corresponding to the determination personality classification to a user-side terminal. A server computer connectable to a user terminal via a communication line,
First storage means for storing data of the contents of the personality for each predetermined fine classification in a plurality of predetermined personality classifications;
Second storage means for storing the personality classification data and the fine classification data for each search element in a search element consisting of any one of a word, a clause, and a sentence in a plurality of predetermined search elements;
Receiving means for receiving text or sentence data to be subjected to personality diagnosis from a user-side terminal;
In the sentence or sentence received by the receiving means, the presence of the search element stored in the second storage means is searched, and when the search element exists, the number of searches is counted for each personality classification and the small classification Analysis means for counting the number of searches for each,
In accordance with the result of the analysis means, the determination means for determining the personality classification having the largest number of searches in the personality classification, and for determining the fine classification having the largest number of searches in the fine classification,
According to the determination by the determination means, data specifying a determination personality classification which is a personality classification determined to have the largest number of searches, and data of personality contents corresponding to the subcategory determined to have the largest number of searches In order to display on the user side terminal, the data specifying the judgment personality classification is transmitted to the user side terminal, and the data of the personality content corresponding to the sub-classification determined to have the largest number of searches is the first Transmitting means for transmitting to the user terminal based on the data stored in the storage means;
A server computer characterized by comprising: The server computer has third storage means for storing face image data for each of the sub-classifications;
9. The server computer according to claim 8, wherein the transmitting means transmits face image data corresponding to the fine classification determined to have the largest number of searches to the user side terminal. The second storage means further stores personality content data corresponding to the search element, and the transmission means stores personality content data corresponding to the search element searched by the analysis means. The server computer according to claim 6, 7, 8, or 9, wherein the server computer is transmitted for each searched search element. First search means for storing data of the contents of the personality for each of a plurality of predetermined personality classifications, and each search element in a search element consisting of any one of a word, a phrase, and a sentence with a plurality of predetermined search elements A personality diagnosis method for diagnosing personality by a server computer having second storage means storing personality classification data,
Receiving a sentence or sentence data to be subjected to personality diagnosis from a user side terminal; and
An analysis step of searching for the presence of the search element stored in the second storage means in the sentence or sentence received by the reception step, and counting the number of searches for each personality classification when the search element exists;
In accordance with the result of the analysis step, a determination step for determining a personality classification with the largest number of searches;
In order to display on the user terminal the data for specifying the determination personality classification that is the personality classification determined to have the largest number of searches according to the determination in the determination step, and the data of the personality content corresponding to the determination personality classification In addition, data specifying the determination personality classification is transmitted to the user side terminal, and data of personality contents corresponding to the determination personality classification is transmitted to the user side terminal based on the data stored in the first storage means. Sending process;
A personality diagnosis method characterized by comprising: The server computer has third storage means for storing face image data for each personality classification;
The personality diagnosis method according to claim 11, wherein in the transmission step, face image data corresponding to the determination personality classification is transmitted to a user-side terminal. First storage means for storing data of the contents of the personality for each predetermined fine classification in a plurality of predetermined personality classifications, and a word, a phrase, or a sentence with a plurality of predetermined search elements A personality diagnosis method for diagnosing personality with a server computer having second storage means storing the personality classification data and the fine classification data for each search element in the search element,
Receiving a sentence or sentence data to be subjected to personality diagnosis from a user side terminal; and
In the sentence or sentence received by the receiving step, the presence of the search element stored in the second storage means is searched, and when the search element exists, the number of searches is counted for each personality classification and the small classification An analysis process for counting the number of searches for each,
In accordance with the result of the analysis step, a determination step of determining a personality classification having the largest number of searches in the personality classification, and determining a fine classification having the largest number of searches in the fine classification,
According to the determination in the determination step, data for specifying the determination personality classification that is the personality classification determined to have the largest number of searches, and data of the personality content corresponding to the subcategory determined to have the largest number of searches In order to display on the user side terminal, the data specifying the judgment personality classification is transmitted to the user side terminal, and the data of the personality content corresponding to the sub-classification determined to have the largest number of searches is the first A transmission step of transmitting to the user terminal based on the data stored in the storage means;
A personality diagnosis method characterized by comprising: The server computer has third storage means for storing face image data for each of the sub-classifications;
14. The personality diagnosis method according to claim 13, wherein in the transmission step, face image data corresponding to the fine classification determined to have the largest number of searches is transmitted to the user side terminal. The second storage means further stores personality content data corresponding to the search element, and in the transmission step, personality content data corresponding to the search element searched by the analysis step. The personality diagnosis method according to claim 11, 12, 13, or 14, wherein: is transmitted for each retrieved search element. A personality diagnostic program,
A memory in which personality classification data is stored for each search element in a search element consisting of a word, a phrase, or a sentence by a plurality of predetermined search elements in a sentence or sentence to be subjected to personality diagnosis An analysis process for searching for the presence of the search element stored in the means (search element storage means) and counting the number of searches for each personality classification when the search element exists;
In accordance with the result of the analysis process, a determination process for determining the personality classification with the largest number of searches,
According to the determination processing, the data for specifying the determination personality classification which is the personality classification determined to have the largest number of searches is output, and the personality content data corresponding to the determination personality classification is stored in advance in the storage unit. An output process that outputs data based on the data stored in the storage means that stores the data of the contents of the personality for each of a plurality of defined personality classifications;
A personality diagnostic program characterized by comprising: A personality diagnostic program,
For each search element in a search element consisting of a word, a phrase, or a sentence among a plurality of predetermined search elements in a sentence or sentence to be subjected to personality diagnosis, the personality classification data, and In addition to searching for the presence of the search element stored in the storage means storing the data of the fine classification, when the search element exists, the number of searches is counted for each personality classification and the number of searches for each small classification is also calculated. Analysis processing to count,
In accordance with the result of the analysis process, a determination means for determining a personality classification having the largest number of searches in the personality classification, and determining a fine classification having the largest number of searches in the fine classification;
According to the determination processing, the data for specifying the determination personality classification which is the personality classification determined to have the largest number of searches is output, and the personality content corresponding to the subclasses determined to have the largest number of searches is output. An output process for outputting data based on the data stored in the storage means storing the data of the contents of the personality for each predetermined sub-classification in a plurality of predetermined personality classifications in the storage means;
A personality diagnostic program characterized by comprising:

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