JPH1153398A - Device and method for document processing and storage medium storing document processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To display the preference of a user and also to easily change the user's preference by changing the element value of a GP matrix based on the display state changed by a display state changing means. SOLUTION: A GP matrix includes the keywords used for acquisition of document vectors on a row and the user members on a column respectively. A CPU 111 acquires a preference document vector from every element of a GP vector and the elements of a document vector. Then the CPU 111 divides the elements of the preference document into the fields, calculates the field-based importance by totalizing the elements in every field and then shows a field-based vector using the field-based importance as an element on the three-dimensional coordinates to display it on a display device 14. In such a state where the field- based vector is visualized, the display state of the field-based vector can be changed. When the display state is changed, the CPU 111 acquires every element value from the display state of a newly shifted field-based vector and rewrites the field-based importance.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document processing apparatus, a storage medium storing a document processing program, and a document processing method.
The present invention also relates to a document processing device, a storage medium storing a document processing program, and a document processing method which can be easily changed through a change in display.

[0002]

2. Description of the Related Art In a conventional document processing apparatus, a storage medium storing a document processing program, and a document processing method by a document processing method, a document is vectorized and represented as a document vector. Since the document vector is obtained by using the number of appearances of a keyword in each document as an element and characterizes each document, it is useful as a guide when searching and classifying documents.

[0003]

However, even in the same document, if the purpose of use, such as for business use or technical materials, or other user's preference is different, differences occur in important parts and the like.
Also, even for the same user, their preferences may change over time. For this reason, conventionally, there has been a demand for a technique capable of visualizing and expressing a user's preference and easily changing the same as in the case of expressing a document feature as a document vector.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problems, and has a document processing apparatus capable of displaying a user's preference and easily changing the same, a storage medium storing a document processing program, and a document. It is an object to provide a processing method.

[0005]

According to the first aspect of the present invention, as shown in FIG. 14, one of a user and a plurality of keywords representing the user's preference is defined as a row, and the other is defined as a column. Matrix obtaining means 10 for obtaining a GP matrix having the importance of each of the keywords as element values with respect to
1 and GP matrix display means 102 for displaying the GP matrix
Display state changing means 103 for changing the display state of the displayed GP matrix; and display state changing means 103
The object is achieved by providing a document processing apparatus comprising: a GP matrix changing unit 104 that changes an element value of the GP matrix based on the display state after the change. According to a second aspect of the present invention, as shown in FIG. 14, in the document processing apparatus according to the first aspect, the GP matrix display means 102 uses the GP matrix to determine the importance of the keyword as an element value from the GP matrix. The object is achieved by providing a document processing apparatus that acquires a vector and converts the GP vector into n (n ≧ 1) dimensions for display. According to a third aspect of the present invention, as shown in FIG. 14, in the document processing apparatus according to the second aspect, the GP matrix display means 102 selects n keywords from the top in importance, or The above object is achieved by providing a document processing apparatus that converts a GP vector into n dimensions by grouping keywords into n categories by clustering processing. Claim 4
As shown in FIG. 15, in the document processing apparatus according to any one of claims 1 to 3, a document whose document vector is similar to the GP vector A document processing unit for re-listing documents based on the GP matrix changed by the GP matrix changing unit; The above object is achieved by providing. As shown in FIG. 16, one of a user and a plurality of keywords representing the user's preference is defined as a row and the other is defined as a column. GP matrix acquisition function 201 for acquiring a GP matrix as a value, GP matrix display function 202 for displaying the GP matrix, and display state change function 20 for changing the display state of the displayed GP matrix
And a GP matrix change function 204 for changing the element values of the GP matrix based on the display state changed by the display state change function 203. The above object is achieved by providing a storage medium having stored therein. FIG.
As shown in FIG. 6, in the storage medium according to claim 5,
The GP matrix display function 202 stores, from the GP matrix, a document processing program that acquires a GP vector having the keyword importance as an element value, and converts the GP vector into n (n ≧ 1) dimensions for display. The object is achieved by providing a storage medium. According to a seventh aspect of the present invention, as shown in FIG. 16, in the storage medium according to the fifth or sixth aspect, the GP matrix display function 202 selects n keywords from the top in importance. Alternatively, the above object is achieved by providing a storage medium storing a document processing program for converting a GP vector into n dimensions by grouping keywords into n categories by clustering processing. According to an eighth aspect of the present invention, as shown in FIG. 17, in the storage medium according to any one of the fifth to seventh aspects, the document vector is similar to the GP vector. A document list function 205 for listing documents from a predetermined document group, wherein the document list function 205 relists documents based on the GP matrix changed by the GP matrix change function 204 The object is achieved by providing a storage medium in which a program is stored. According to the ninth aspect of the present invention, as shown in FIG. 18, one of a user and a plurality of keywords representing the user's preference is set as a row and the other is set as a column, and the importance of each of the keywords with respect to the user is an element. Display GP matrix as value 301
The object is achieved by providing a document processing method that changes 302 the display state of the displayed GP matrix and changes 303 the element values of the GP matrix based on the changed display state of the GP matrix. Is what you do.

[0006]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of a document processing apparatus, a storage medium storing a document processing program, and a document processing method according to the present invention will be described below in detail with reference to FIGS. I do. (1) Outline of Embodiment In this embodiment, one of a user and a processing important word obtained from the frequency of appearance of the user in a past processed document is defined as a row, and the other is defined as a column. A GP matrix with the importance of a word as an element value is obtained. Then, the document vector having the importance of the key word of the reference document as an element is shifted by a GP matrix to obtain a preference document vector, and each element (importance) of the preference document vector is totaled for each field, and the field-specific importance F (X) is calculated, and the three fields A, B, and C having high field-specific importance F (X) are set as axes 3
Express the preference document vector on the dimension. When the preference document vector is shifted by dragging and dropping with a mouse, the importance of these important words is changed, and the GP matrix is rewritten.

(2) Details of Embodiment FIG. 1 shows an embodiment of a document processing apparatus according to the present invention, in which a document processing program according to an embodiment of the present invention is read. FIG. 2 is a block diagram illustrating a configuration of a computer. As shown in FIG.
The document processing device (computer) includes a control unit 11 for controlling the entire device. This control unit 11 includes:
Via a bus line 21 such as a data bus, a keyboard 12 and a mouse 13 as input devices, a display device 14, a printing device 15, a storage device 16, a storage medium drive device 17, a communication control device 18, and an input / output I / O F19 and a character recognition device 20 are connected. The control unit 11 controls the CP
U111, ROM112, and RAM113 are provided.
The ROM 112 is a read-only memory in which various programs and data for the CPU 111 to perform various controls and calculations are stored in advance.

The RAM 113 is a random access memory used as a working memory by the CPU 111. In the RAM 113, a target document storage area 1 for storing a document for which a document vector is to be acquired is an area for performing a document vector acquisition process according to the present embodiment.
131, a keyword storage area 1132, and a document vector storage area 1134 are secured, and a matrix storage area 113 is provided as an area for performing GP matrix acquisition processing.
5. As an area for performing the GP matrix visualization processing, G
A P vector storage area 1138 and other various areas are secured.

The keyboard 12 has various keys such as a kana key and a numeric keypad for inputting a kana character, a function key for executing various functions, a cursor key, and the like. The mouse 13 is a pointing device, and is an input device for designating a corresponding function by left-clicking a key, an icon, or the like displayed on the display device 14.
In the present embodiment, the mouse functions as a display state changing unit that moves a preference document vector described later displayed on the display device by dragging and dropping it. As the display device 14, for example, a CRT or a liquid crystal display is used. The display device 14 displays the contents of a target document from which a document vector is obtained, a preference document vector obtained by visualizing the GP matrix acquired according to the present embodiment, and the like. The printing device 15 is a display device 1
4 for printing a document displayed in the document database 4 or a document stored in the document database 164 of the storage device 16. This printing device includes laser printers, dot printers, inkjet printers, page printers,
Various printing devices such as a thermal printer and a thermal transfer printer are used.

The storage device 16 is composed of a readable and writable storage medium and a drive device for reading and writing various information such as programs and data on the storage medium.
As a storage medium used for the storage device 16, a hard disk is mainly used, but a readable and writable storage medium among various storage media used in a storage medium driving device 17 described later may be used. Good. The storage device 16 stores the kana-kanji conversion dictionary 161 and the program storage unit 1
62, a document database 164, a document vector database 166, a matrix database 168, and other storage units (not shown) (for example, storage units for backing up programs and data stored in the storage device 16). ing. In the program storage unit 162,
Document vector acquisition processing program in the present embodiment,
In addition to various programs such as a GP matrix acquisition processing program, a GP matrix visualization processing program, a GP matrix change processing program, and a GP matrix change processing program, a kana character string input using the kana / kanji conversion dictionary 161 is mixed with kanji. Various programs such as a kana-kanji conversion program for converting into sentences are stored.

The document database 164 stores documents created by the kana-kanji conversion program and documents created by other devices and read from the storage medium driving device 17 or the communication control device 18. This document database 1
The format of each document stored in the H.64 is not particularly limited, and a text format document, HTML (Hyper Text Ma
It is possible to store documents in various formats, such as a document in an rkup language) format and a document in a JIS format. Further, in the document database 164, the members of the user who processed the document within a certain period and the number of times of processing are stored in association with each document. The value of the processing count is reset to 0 by input. In the document vector database 166,
A document vector corresponding to each document stored in the document database 164 is stored.

FIG. 2 shows a document vector database 166.
FIG. 4 is an explanatory diagram conceptually showing the contents of the above. As shown in FIG. 2, the document vector database 166 stores keywords (including phrases) (processing key words) x automatically extracted from the documents processed within the predetermined period, and the processing key words. The importance (processing importance) is stored as the element value f (x) of the document vector of each document. This document vector is stored for each document (A, B, C...)
It is associated with each document stored in the document database 164.

The matrix database 168 stores matrices Ga, Gb, and Gc obtained based on the contents of the document processing performed in a predetermined period in the past. GP (Group Pe
rsonalize) vector is the matrix Ga, Gb, Gc
From the GP matrix obtained by FIG. 3 (a)
(C) is an explanatory diagram showing an example of matrices Ga, Gb, and Gc.

As shown in FIG. 3 (a), the matrix Ga is a matrix in which the keywords (processing important words) are arranged in rows and the processed documents are arranged in columns. f
(X). As shown in FIG. 3 (b), the matrix Gb is a matrix in which the processed documents are taken in rows and the members (processors) of the users are taken in columns. Is the number of times of processing. This processing count is read from the document database 164. As shown in FIG. 3C, the matrix Gc has both rows and columns indicating the importance factors of the members of the user. The matrix Ga, the matrix Gb, and the matrix Gc are
It is appropriately rewritten by an input from the operator.

The storage medium drive 17 is a drive for the CPU 111 to read a computer program or data including a document from an external storage medium. The computer programs stored in the storage medium include programs for various processes executed by the document processing apparatus of the present embodiment, and dictionaries and data used therein. Here, the storage medium refers to a storage medium in which a computer program, data, and the like are stored, and specifically, a magnetic storage medium such as a floppy disk, a hard disk, and a magnetic tape, and a semiconductor storage medium such as a memory chip and an IC card. A storage medium such as a CD-ROM, an MO, a PD (phase change rewritable optical disk) or the like, from which information can be read optically, and a paper such as a paper card or a paper tape (and a medium having a function equivalent to the paper) are used. It includes a storage medium and a storage medium in which a computer program or the like is stored by various methods. As a storage medium used in the document processing apparatus of the present embodiment, a CD-ROM or a floppy disk is mainly used. Storage medium drive 17
In addition to reading computer programs from these various storage media, it is possible to write data and the like stored in the RAM 113 and the storage device 16 to a writable storage medium such as a floppy disk.

In the document processing apparatus of this embodiment, the control unit 1
One CPU 111 reads a computer program from an external storage medium set in the storage medium drive 17 and stores (installs) it in each unit of the storage 16. When executing various processes such as similarity calculation according to the present embodiment, the corresponding program is
The data is read into the AM 113 and executed. However, not from the storage device 16 but the storage medium drive device 17
It is also possible to read the program directly from the external storage medium into the RAM 113 and execute it. Further, depending on the document processing device, the automatic summarization processing program of the present embodiment may be stored in the ROM 112 in advance, and the CPU 112 may execute the program.

The communication control device 18 is capable of transmitting and receiving various types of documents such as text format and HTML format and various data such as bitmap data to and from other personal computers and word processors. I have. The input / output I / F 19 is an interface for connecting various devices such as a speaker that outputs audio, music, and the like. The character recognition device 20 is a device for recognizing characters written on paper or the like in various formats such as a text format or HTML, and is configured by an image scanner, a character recognition program, and the like.

In this embodiment, in addition to a document created by an input operation on the keyboard 12 (stored in a predetermined storage area of the RAM 113), a document created externally and stored in a predetermined storage medium is read from the storage medium driving device 17. Documents, documents stored in advance in a document database, documents downloaded from the communication control device 18, and the character recognition device 2.
It is possible to acquire various documents such as a document whose characters have been recognized as 0 as a target document (document acquisition means).

Next, one embodiment of the document processing method according to the present invention, which is an operation of the document processing apparatus having the above configuration, will be described with reference to FIGS.

In the present embodiment, a new processing important word and a new processing importance are acquired based on the contents of the document processing performed within a certain period according to an input command from the operator.
The matrix Ga and the matrix Gb in the matrix database 168 are obtained.

FIG. 4 is a flowchart showing the matrix Ga, Gb acquisition operation. The CPU 111 stores a document (processed document) processed within a predetermined period in the document database 164.
And sequentially stores them in a predetermined work area of the RAM 113 (step 11), and obtains important words (including phrases) (processing important words) and their importance (processing importance) for each processing document (step 12). ).

FIG. 5 is a flow chart showing the operation of the processing important word / processing importance acquisition processing for each document. As shown in FIG. 5, the CPU 111 extracts a self-sufficient word by performing a morphological analysis on each of the processed documents acquired from the document database 164 (step 121), and also extracts a noun phrase, a compound noun phrase, and the like. The included candidate words (phrases) are extracted from the processed document (step 122).
Next, the frequency of occurrence of the extracted candidate word (phrase) in the processed document,
The processing importance f (x) of each candidate word (phrase) is obtained from the evaluation function (step 123). Here, as the evaluation function, for example, when a predetermined important word is specified in advance, weighting for the important word, weighting according to the type of a candidate word (phrase) such as a word, a noun phrase, a compound noun phrase, and the like are used. used.

Further, the CPU 111 acquires processing important words (including phrases) a, b, c,... From the candidate words (phrases) based on the acquired value of the processing importance f (x) (step 12).
.., And the processing importances f (a), f (b), f (c)... Are stored in the important word database 165 (step 125). When the processing important words and the processing importance thereof are obtained for all the processing documents, the process returns to the matrix Ga, Gb obtaining processing routine shown in FIG.

Subsequently, the CPU 111 converts the matrix Ga of the matrix database 168 into the processing key words a, b, c,.
Is rewritten into a row, the processed document of the predetermined period is made into a column, and the processing importance f (x) is made into each element (step 13). At this time, the number of rows of the matrix Ga is the number of the union of the processing important words of each processing document, and the processing importance f
(X) is defined as 0.

For example, in FIG. 2, the processing important words of the processing document B are “important, important words, importance,...”, And the processing important words of the processing document C are “important,... Politics,. The processing importance corresponding to the processing important word is (1, 18, 19,...) For the processing document B and (18,..., 21,...) For the processing document C. On the other hand, the matrix Ga
In, the line is "important, important word, importance, ..., politics, ...", and the element values in the columns of both documents are defined as follows. Column of processed document B = (1,18,19, ..., 0,
…), Column of processed document C = (18, 0, 0,..., 21,...)

The CPU 111 obtains the number of times of processing of each document from the document database 164 (step 1).
4) The matrix Gb is rewritten into a matrix having rows of processed documents within a predetermined period and the number of times of processing obtained from the document database 164 as elements (step 15).
The acquisition processing ends.

When obtaining the GP matrix, the CPU 111
Are the matrices Ga, G obtained and stored as described above.
b and Gc are obtained from the matrix database 168, and a GP matrix is obtained according to the following equation. GP = Ga · Gb · Gc Therefore, the GP matrix in the present embodiment has the keywords used for document vector acquisition as rows and each member of the user as a column, and each element of the GP matrix is The numerical value is obtained by adding the importance of each member to the importance f (x) of the keyword in the past document processing.

Next, the operation of the GP matrix visualization process according to the present embodiment will be described with reference to FIGS. FIG. 6 is a flowchart showing the operation of the GP matrix visualization process. The CPU 111 acquires the reference document (step 21), and stores the target document storage area 11 in the RAM 113.
31. The reference document is stored in the RAM 113 and the document database 1 in the storage device 16 in accordance with an instruction from the operator.
64, storage medium driving device 17, or communication control device 18
To get from. Then, the CPU 111 obtains the document vector V of the reference document stored in the target document storage area 1131 (Step 22).

FIG. 7 is a flowchart showing the operation of the document vector creation processing. The CPU 111 detects the keyword stored in the document vector database 166 from the reference document (step 221), and determines the keyword importance f from the appearance frequency and the evaluation function in the reference document.
(X) is obtained (step 222). Then, using the importance f (x) of each keyword as an element, the document vector V =
(F (a), f (b),...)
3), document vector storage area 1134 of RAM 113
(Step 224), and returns to the GP matrix visualization process shown in FIG.

Subsequently, the CPU 111 performs dimension matching between the document vector and the GP matrix (step 23). That is, the number of dimensions of the document vector V and the number of rows of the GP matrix are defined as the number of union sets of processing key words represented by the keywords of the reference document and the rows of the GP matrix. The element value and the element value of the document vector V for the key word included only in the row of the GP matrix are defined as “0”. For example, the keyword of the reference document is “important, important word, importance,...”, And the processing important word represented by the row of the GP matrix is “important,…, politics,…”
Document vector V of reference document = (1, 18, 19,
...), and one column of the GP matrix is (18, ..., 21, ...)
, When the dimensions are matched, the document vector V of the reference document = (1, 18, 19,..., 0,...), And one column of the GP matrix becomes (18, 0, 0,. Become.

Subsequently, the CPU 111 acquires a GP vector based on the GP matrix after dimension matching (step 24). FIG. 8 is an explanatory diagram conceptually illustrating a process of calculating a GP vector from a GP matrix.

First, the CPU 111 calculates the average value of the elements of each row of each element gij (i = 1 to the number of members m, j = 1 to the number k of the union of the processing important words) of the GP matrix, and Vector (total GP vector) is obtained (FIG. 8 (1) →
(2)). The total GP vector is obtained by calculating the frequency of occurrence of each element gi in the past document processing in the entire user group for each processing important word (however, the weight of a predetermined processing important word of each processing important word, the importance of a member, etc.) Is taken into account). The CPU 111 further divides each element gi of this total GP vector by the total number of document processing times to obtain a single row of GP vectors (FIG. 8).
(2) → (3)). Dividing the total GP vector by the total number of document processing times as described above avoids the GP vector from increasing as the number of processing times increases because the matrix Gb includes the number of document processing times as an element. This is because, even when the GP vector is obtained for different period lengths, the period length does not affect.

Subsequently, the CPU 111
111 multiplies each element of the GP vector by an element of the document vector V corresponding to each element to obtain a preference document vector V ′. The preference document vector V ′ is stored in the preference document vector database 167 (step 2).
5). The preference document vector acquisition process ends.

Next, the CPU 111 sets the element f ′ of the document preference vector V ′ = (f ′ (a), f ′ (b),...)
(A), f '(b),... Are classified by field (step 26). FIG. 9 is a table showing an example of a field for dividing each element of the document preference vector V ′. Then, the elements for each field are put together and summed up to calculate the field-specific importance F (X) (step 27), the three fields having the highest field-specific importance F (X) are selected, and the fields of these three fields are selected. Another importance F (A), F
(B), F (C) as an element, a field-specific vector V ″ =
(F ′ (A), F ′ (B), F (C)) are displayed on the display device 14 by expressing the three fields on three-dimensional coordinates using the x-axis, y-axis, and z-axis. Then, the visualization process of the GP matrix ends (step 28). The field-specific importance F (X) is stored in the matrix database 168. FIG. 10 shows an example in which the field-specific vector V ″ is displayed on the display device 14. Thus, in the present embodiment, the GP matrix is
It is visualized and displayed three-dimensionally as a field-specific vector V ″.

In the present embodiment, along with the display of the field-specific vector V ″, the file names of the documents stored in the document database 164 that match the user's preference are displayed in a list. ing. As for this document, a predetermined number of documents are listed from the highest cosine value cos (q) of the angle q formed between the document vector stored in the document vector database 166 and the field vector V ″. This cosine value co
s (q) denotes the document vector of the document stored in the document database 164 as U, the size of the field-specific vector V ″ as | V ″ |, the size of the document vector U as | U | The inner product of the vector V '' and the document vector U is V ''
Assuming that U is obtained by the following equation 1.

[Formula 1] cos (q) = (V ″ · U) / (| V ″
| × | U |)

The cosine value is -1 ≦ cos (q) ≦ 1
The closer to 1, the closer the direction of the field vector V ″ and the document vector U is, the closer the GP vector visualized by the field vector V ″ and the document vector U are, The document can be considered to be close to the user's preference.

In the state where the field-specific vector V ″ is thus visualized, the display state of the field-specific vector V ″ can be changed. FIG. 10 is a diagram illustrating a state in which the display of the field-specific vector V ″ displayed on the display device 14 is changed, and FIG. 11 is a flowchart illustrating the operation of the GP matrix changing process according to the present embodiment. When the display state of the field-specific vector V ″ (vector A in FIG. 10) is changed, by pointing the coordinate axis with a mouse, the coordinates of the pointed coordinate axis of the field-specific vector V ″ can be changed and displayed. This is performed by dragging and dropping the field-specific vector V ″ with a mouse pointer as shown in FIG. When the display state is changed in this way, C
PU 111 is the new shifted domain vector V ''
Each element value is obtained from the display state of (vector A 'in FIG. 10) (step 31), and the matrix database 16
8 is rewritten (step 32). Further, according to the shifted field vector V ″, the field vector V ″ and the document database 16 are changed.
The cosine value cos (q) with the document vector of the document stored in No. 4 is obtained, and the listed document is changed based on the result (step 33).

When the display state is changed, the CPU 1
11 changes the element values of the GP matrix, the matrix Ga, and the matrix Gb based on the changed element of the field-specific vector V ″, rewrites the storage of the matrix database 168 (step 34), and changes the GP matrix. The process ends. The new element values of the matrices Ga and Gb are determined in consideration of averaging of the change due to the number of users and weighting according to the importance of the users. When the field-specific vectors are obtained from the matrices Ga to Gc by the above-described process, the changed field-specific vectors V ″ can be obtained.

As described above, according to the present embodiment, the field-specific vector V ″ reflecting the user's preference is displayed on the display device 1.
4 and the shift can be performed while the field-specific vector V ″ is displayed, so that the change of the user's preference can be performed while being visually recognized.
Then, based on the changed field-specific vector V ″, G
Since the element values of the P matrix, the matrix Ga, and the matrix Gb are changed, the GP matrix, the matrix Ga, and the matrix Gb can be easily changed to those that meet desired tastes. Further, in the present embodiment, documents close to the user's preference represented by the field-specific vector V '' are listed, and the documents listed in accordance with the shift of the field-specific vector V '' are also changed. It can be confirmed from the list document whether or not the shift of the field-specific vector V ″ is as desired.

It should be noted that the present invention is not limited to the above-described embodiment, and can be appropriately changed without departing from the gist of the present invention. For example, in the above-described embodiment, a computer is used as the document processing apparatus. However, the present invention is not limited to the computer, and may be a word processor or the like. In the above-described embodiment, the GP matrix is the number of past document processes performed by the processor (matrix G
a) and the frequency of appearance of keywords in each document (matrix G
b) and the degree of importance of each processor (matrix Gc), but the number of past document processing for each processor (matrix Gc)
a) and the frequency of appearance of keywords in each document (matrix G
It may be obtained only by b). In addition, for example, it may be obtained in consideration of the processing time of each document, the number of cases cited in creating another document, and the like. Further, when the GP matrix is obtained from matrices such as the matrices Ga to Gc in the same manner as in the above-described embodiment, the elements of the matrices such as the matrices Ga to Gc indicate the appearance frequency of the keyword in the document and the member It only needs to reflect the number of times each document has been processed,
It does not need to directly represent the frequency of appearance or the number of processing itself.

To visualize the GP matrix, the document preference vector obtained by shifting the reference document by the GP vector is represented by n
Instead of displaying the GP vector in a three-dimensional manner, the GP vector may be directly displayed in the n-dimension.

Also, the display of the document preference vector and the GP vector need not be converted into three dimensions and displayed as in the field-specific vector. For example, as shown in FIG. The value (importance) can also be represented by a color bar. In this case, the display can be changed, for example, by smoothly dragging and dropping the tip of one color bar with the mouse to change the color bar of the entire related field. Also,
As shown in FIG. 13, a radar chart may be displayed so that the element value can be changed for each axis. Display by color bar or radar chart is GP
It is possible to display all elements of the vector. Further, even when the document preference vector or the GP vector is converted into a three-dimensional image and displayed, the conversion method is the same as that of the above-described embodiment. Field vector V ″ = (F ′ (A), F ′ (B), F (C)) that selects the three highest fields
Is not limited to the method of displaying
It is also possible to adopt a method of dividing the fields into fields and collecting the elements for each field to form a three-dimensional vector, a method of forming three-dimensional vectors by using the three elements having the highest values among the elements of the GP vector, and the like.

Further, when elements are grouped into n elements and displayed in n dimensions, or when elements are grouped into fields larger than n and n elements are selected and displayed in n dimensions, elements are grouped in a clustering manner. It can be performed by processing or the like. Even when a document preference vector or a GP vector is converted into a three-dimensional image and displayed, a method other than displaying the vector as a vector on the three-dimensional coordinates may be used.
Instead of the (x, y, z) axis, three colors (red, green, and blue) may be used to represent the values of the respective elements by color display or the like in which the luminances of these three colors are changed. The method of shifting the displayed field-specific vector is not limited to the method of dragging and dropping using a mouse, but may be, for example, inputting coordinates using a keyboard.

The described embodiment is not limited to documents created in Japanese, but can be applied to documents created in any language. In this case, it is only necessary to change a portion that does not affect the configuration of the present invention, such as using a morphological analysis algorithm for the language in which the target document is created.

Note that, in the above embodiment,
For each device, each unit, each operation, each process, and the like, the embodiment can be configured by each unit (up to a unit) as a general concept including them. For example, “processing important words (including phrases) a, b, c,.
"4)" may constitute "processing important word acquisition means". Similarly, the embodiment may be configured with a higher concept such as “「 (operation) means ”for various other operations.

[0046]

As described above, according to the present invention,
A GP matrix characterizing the user's preference is visualized and displayed, and the element value can be changed by changing the display state.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an embodiment of a document processing apparatus according to the present invention, and showing a configuration of a computer from which a document processing program according to an embodiment of the present invention is read, according to an embodiment of the present invention. .

FIG. 2 is an explanatory diagram conceptually showing the contents of a document vector database in the embodiment of FIG.

FIG. 3 shows matrices Ga, Gb, Gc in the embodiment of FIG.
It is explanatory drawing which shows an example of.

FIG. 4 is a flowchart showing an operation of a matrix Ga, Gb rewriting process according to the embodiment of FIG. 1;

FIG. 5 is a flowchart showing an operation of processing important word / processing importance acquiring processing according to the embodiment of FIG. 1;

FIG. 6 is a flowchart showing an operation of a GP matrix visualization process according to the embodiment of FIG. 1;

FIG. 7 is a flowchart illustrating an operation of a document vector creation process according to the embodiment of FIG. 1;

FIG. 8 is an explanatory diagram showing a method for obtaining a GP vector in the embodiment of FIG. 1;

FIG. 9 is a table showing an example of a field for classifying each element of a document preference vector in the embodiment of FIG. 1;

FIG. 10 shows an example in which field-specific vectors of two users are displayed on a display device in the embodiment of FIG. 1;

FIG. 11 is a flowchart showing an operation of a GP matrix change process according to the embodiment of FIG. 1;

FIG. 12 is a diagram illustrating an example of a GP vector display method of a GP matrix visualization unit according to another embodiment of the present invention.

FIG. 13 is a diagram illustrating an example of a GP vector display method of a GP matrix visualization unit according to another embodiment of the present invention.

FIG. 14 is a diagram corresponding to claims of the invention described in claim 1;

FIG. 15 is a diagram corresponding to claims of the invention described in claim 4;

FIG. 16 is a diagram corresponding to claims of the invention described in claim 5;

FIG. 17 is a diagram corresponding to claims of the invention described in claim 8;

FIG. 18 is a diagram corresponding to claims of the invention described in claim 9;

[Explanation of symbols]

 11 control unit 112 ROM 113 RAM 1131 target document storage area 1132 keyword storage area 1134 document vector storage area 1135 matrix storage area 1136 similarity storage area 1138 GP vector storage area 12 keyboard 13 mouse 14 display device 15 printing device 16 storage device 161 pseudonym Kanji conversion dictionary 162 Program storage unit 164 Document database 165 Key word database 166 Document vector database 168 Matrix database 101 GP matrix acquisition unit 102 GP matrix display unit 103 Display state change unit 104 GP matrix change unit 105 Document list up unit 201 GP matrix acquisition Function 202 GP matrix display function 203 Display state change function 204 GP matrix change function 205 Document list up function

Claims (9)

[Claims] 1. A GP matrix acquisition for acquiring a GP matrix in which one of a user and a plurality of keywords representing the preference of the user is set as a row and the other is set as a column, and an importance value of each keyword for the user is set as an element value. Means, GP matrix display means for displaying the GP matrix, display state change means for changing the display state of the displayed GP matrix, and the display state after being changed by the display state change means. A document processing apparatus comprising: a GP matrix changing unit that changes an element value of a GP matrix. 2. The GP matrix display means obtains a GP vector having the keyword importance as an element value from the GP matrix, and displays the GP vector in n (n ≧ 1) dimensions. 2. The document processing apparatus according to claim 1, wherein: 3. The GP matrix display means converts the GP vector into n dimensions by selecting n keywords from the top in importance, or by grouping the keywords into n categories by a clustering process. The document processing device according to claim 2, wherein 4. A document lister for listing a document whose document vector is similar to the GP vector from a predetermined document group, wherein the document lister is changed by the GP matrix changer. 4. The document processing apparatus according to claim 1, wherein documents are re-listed based on a GP matrix. 5. A GP matrix acquisition for acquiring a GP matrix in which one of a user and a plurality of keywords representing the preference of the user is set as a row and the other is set as a column, and an importance value of each keyword for the user is set as an element value. A function, a GP matrix display function for displaying the GP matrix, a display state change function for changing a display state of the displayed GP matrix, and a display state after being changed by the display state change function. A storage medium storing a computer-readable document processing program for causing a computer to implement a GP matrix change function of changing an element value of a GP matrix. 6. The GP matrix display function acquires a GP vector having the importance of the keyword as an element value from the GP matrix, and displays the GP vector in n (n ≧ 1) dimensions. A storage medium storing the document processing program according to claim 5. 7. The GP matrix display function converts n-dimensional GP vectors by selecting n keywords from the top in importance, or by grouping keywords into n categories by clustering processing. A storage medium storing the document processing program according to claim 5. 8. A document list function for listing a document whose document vector is similar to the GP vector from a predetermined document group, wherein the document list function is changed by the GP matrix change function. The storage medium storing the document processing program according to claim 5, wherein the document is re-listed based on the GP matrix. 9. A GP matrix in which one of a user and a plurality of keywords representing the preference of the user is set as a row and the other is set as a column, and an importance matrix of each keyword with respect to the user is used as an element value. Changing the display state of the GP matrix, and changing the element values of the GP matrix based on the changed display state of the GP matrix.