JP2001273458A - Device and method for supporting document group analysis and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: TO provide a document group analysis supporting device for performing efficient analysis by combining document sorting based on qualitative data and document sorting based on conventionally utilized quantitative data. SOLUTION: In a document information managing part 1, individual document data are managed so as to be utilized depending on each of attributes contained in the document. In a document group generating part 2, a document set composed of a plurality of documents is sorted into a plurality of document subsets. Information on at least one document group as a result is managed by a document information managing part 3 and based on information 4 of sorting dimensions composed of at least one document group, totalization such as cross totalization is performed in a totalizing processing part 5 while using the individual attribute values of the document.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document group analysis support apparatus, method, and recording medium, and more particularly, to a document group analysis support using a document group classification technique and an information analysis technique using a multidimensional database. The present invention relates to an apparatus, a method, and a recording medium.

[0002]

2. Description of the Related Art In recent years, the spread of the Internet and the like has made it possible to access a large number of documents, and to efficiently use such documents based on the intentions of various users. The need is growing. A document can be regarded as data composed of a plurality of elements, and a document group can be stored and handled in the form of multidimensional data by associating each element with a different field for each element.

As a method for supporting the analysis of multidimensional data, attention is paid to a certain attribute item (dimension) constituting the multidimensional data, and a classification standard (rule) is applied to the attribute item to determine a category to which each data belongs. The method of determining is common. This dimension specifies a criterion for categorizing data using a field value for a certain data field. By independently categorizing data according to the information of each dimension and performing cross tabulation using them later, a category defined by a plurality of dimensions (a plurality of attribute items) can be obtained. By displaying only the necessary parts of the data category obtained in this way and obtaining statistics such as the number of relevant documents and the average value of the value of a specific element, the analyst can easily obtain the information required. The analysis can be performed while obtaining the data. Such a method is known as OLAP (O
nLine Analytical Process
ng; online analysis processing).

[0004]

However, since a document may include qualitative data (text, image, sound, etc.) as its element, in analyzing a document group, qualitative data and quantitative data (numerical values, categorical data) are used. And the like, while using them together.

When focusing on qualitative data, a situation different from categorization performed using quantitative data occurs. First,
When a certain dimension is specified, one document may fall into a plurality of categories. This is because qualitative data may be interpreted ambiguously by the analyst who handles it, and it is difficult to determine that the data belongs to any category.

Next, it is necessary that a plurality of dimensions can be defined for one qualitative data. Qualitative data is data that has not been quantified by a unified standard.
On the other hand, when trying to define some dimension, the analyst can assume a plurality of different analysis criteria or dimensions depending on the purpose of the analysis.

In an analysis support method that does not satisfy the above-mentioned requirements, there is a possibility that the knowledge that can be extracted from the document group may be restricted, and therefore it is required to provide an analysis support method that does not restrict the above-mentioned requirements. This goal has not been solved by conventional multidimensional data analysis methods.

[0008] The present invention has been made in view of the above situation, and is an efficient combination of document classification based on qualitative data having the above-described characteristics and document classification based on conventionally used quantitative data. An object of the present invention is to provide a document group analysis support apparatus, method, and recording medium for performing analysis.

[0009]

According to a first aspect of the present invention, there is provided a document group analysis support apparatus for supporting a task of obtaining information necessary for decision making using a plurality of documents, wherein each document is included in a document. Document information management means for managing each document so that it can be used for each attribute, document group generation means for classifying a plurality of documents based on a specified classification standard, and document for managing information on the document group generated by the document group generation means Group information management means, aggregation processing means having a classification dimension composed of one or more document groups, and performing aggregation using the number of belonging documents and attribute values of the belonging documents according to the classification dimensions; And a counting result display means for displaying information obtained as a result of the counting.

According to a second aspect of the present invention, in the first aspect of the invention, each document group generated by the document group generation means is configured according to a classification criterion relating to one attribute, and the document group information management means It is characterized in that a group of documents is managed in association with information on attributes of the group of documents.

According to a third aspect of the present invention, in the first or second aspect of the invention, the document group generation means enables the same document to belong to a plurality of different document groups, and the document group information management means The documents belonging to the plurality of different document groups are managed, and the tabulation processing means treats the document belonging to the document groups redundantly only once when performing the tabulation based on the plurality of document groups. It is characterized by.

According to a fourth aspect of the present invention, in any one of the first to third aspects, the invention is configured with respect to the same attribute.
Document meta group management means for defining and managing a document meta group that can include one or more document groups, and when specifying a document group in a classification dimension in the aggregation processing means, the document meta group is defined as a unit. It is characterized by specifying.

According to a fifth aspect of the present invention, in the first aspect of the present invention, the totalizing means has a plurality of classification dimensions constituted by one or more document groups, and a plurality of classification dimensions. According to the above, the totalization is performed using the number of belonging documents and the attribute values of the belonging documents.

According to a sixth aspect of the present invention, in the invention according to any one of the first to fifth aspects, the aggregation processing means designates a plurality of classification dimensions for one attribute, and specifies a plurality of classification dimensions between the plurality of classification dimensions. The cross-tabulation processing described above can be performed.

According to a seventh aspect of the present invention, in the invention according to any one of the first to sixth aspects, when the tabulation processing section performs tabulation on an attribute having a text as a value, the tabulation processing means may include a text of one or more documents. , And can be extracted as a total value such as a word included in the text and the frequency of the word.

The invention according to claim 8 is a document group analysis support method for supporting a task of obtaining information necessary for decision making using a plurality of documents, so that each document can be used for each attribute included in the document. A document information management step of managing, a document group generation step of classifying a plurality of documents based on a specified classification criterion, a document group information management step of managing information about the document group generated in the document group generation step, A tabulation processing step of having a classification dimension composed of one or more document groups, performing a tabulation using the number of belonging documents and attribute values of the belonging documents according to the classification dimension, and obtaining a result of the tabulation And a counting result display step of displaying the collected information.

According to a ninth aspect of the present invention, in the invention of the eighth aspect, each document group generated in the document group generation step is configured according to a classification criterion relating to one attribute,
The document group information management step is characterized in that each document group is managed in association with information on attributes of the document group.

In a tenth aspect based on the eighth or ninth aspect, the document group generation step enables the same document to belong to a plurality of different document groups, and the document group information management step includes: When managing the documents belonging to the plurality of different document groups and performing the aggregation based on the plurality of document groups, the aggregation processing step handles only the documents belonging to the overlapping document group once. It is characterized by.

According to an eleventh aspect of the present invention, in the invention of any one of the eighth to tenth aspects, a document meta group that can include one or more document groups and that is configured with respect to the same attribute is defined and managed. A document meta group management step is provided, and when the document group is specified as the classification dimension in the tabulation processing step, the specification is performed in units of the document meta group.

According to a twelfth aspect of the present invention, in the invention according to any one of the eighth to eleventh aspects, the tallying step comprises:
It has a plurality of classification dimensions composed of one or more document groups, and performs counting using the number of belonging documents and attribute values of the belonging documents according to the plurality of classification dimensions.

According to a thirteenth aspect of the present invention, in the invention according to any one of the eighth to twelfth aspects, the tallying step comprises:
A plurality of classification dimensions are designated for one attribute, and a cross tabulation process can be performed between the plurality of classification dimensions.

The invention of claim 14 is the invention according to any one of claims 8 to 13, wherein the totaling step is:
When performing aggregation on attributes having text as a value, it is possible to extract a summary of the text of one or more documents, a word included in the text, and the frequency of the word as a total value. It was done.

According to a fifteenth aspect of the present invention, a program for causing the computer to function as the document group analysis support apparatus according to any one of the first to seventh aspects is recorded.

According to a sixteenth aspect of the present invention, document information is managed so that each of a plurality of documents can be used for each attribute included in the document, and the plurality of documents are classified based on a specified classification criterion. , Manages information about the generated document group, has a classification dimension composed of one or more document groups, and uses the number of belonging documents and the attribute value of the belonging document according to the classification dimension. A program for supporting a task of obtaining information necessary for decision making by using a plurality of documents by performing aggregation and displaying information obtained as a result of the aggregation. is there.

According to a seventeenth aspect, in the sixteenth aspect, each of the generated document groups is configured in accordance with a classification criterion relating to one attribute, and the information relating to the document group is obtained by associating each document group with the document group. It is characterized in that it is managed in association with information on attributes possessed by.

The invention of claim 18 is the invention of claim 16 or 17
In the invention, the same document can belong to a plurality of different generated document groups, the documents belonging to the plurality of different document groups can be managed, and the totaling can be performed based on a plurality of document groups. Is characterized in that documents belonging to a group of documents that overlap are handled only once.

[0027] The invention of claim 19 is the invention of claims 16 to 18.
In any one of the inventions, a document meta group that can include one or more document groups configured with respect to the same attribute is defined and managed, and the aggregation is performed when a document group is specified in a classification dimension. The document meta group is designated as a unit.

[0028] The invention of claim 20 is the invention of claims 16 to 19.
In any one of the inventions, the aggregation has a plurality of classification dimensions constituted by one or more document groups, and uses the number of belonging documents and attribute values of the belonging documents according to the plurality of classification dimensions. It is characterized by being a tally.

The invention of claim 21 is the invention of claims 16 to 20
In the invention of any one of the above, the aggregation is characterized in that a plurality of classification dimensions are designated for one attribute, and a cross aggregation process can be performed between the plurality of classification dimensions. It is.

The invention of claim 22 is the invention of claims 16 to 21
In the invention according to any one of the above, when the tabulation is performed on an attribute having a text as a value, the tabulation may include a summary of a text of one or more documents, a word included in the text, a frequency of the word, or the like. It is characterized in that it can be extracted as

[0031]

FIG. 1 is a block diagram showing a configuration of a document group analysis support apparatus according to an embodiment of the present invention. FIG.
As shown in the above, the document group analysis support device of the present embodiment,
A document information management unit 1 that is a document management unit that manages each document data, and a classification processing unit (a document group generation unit) that classifies a document set including a plurality of documents into a plurality of document subsets. A document group information management unit (document group information management unit) that manages information about one or more document groups (document groups), which is a processing result of the document group generation unit (document group generation unit) 2 3. Aggregation processing unit 5 that performs aggregation such as cross-tabulation using each attribute value of the document based on the classification dimension information 4, aggregation result display unit 6 that displays the result of aggregation processing unit 5, and a display device such as a CRT display And an input device 8 such as a keyboard and a mouse.

<Document Information Management Unit> A document in this specification is an electronic file, which is a group of information including a plurality of document attributes. For example, in a relational database, one record is treated as one document and one field is treated as one attribute, or HTML, XML, or the like.
For example, structured data such as one HTML document is treated as one document, and structured elements separated by tags are treated as attributes. Each document attribute has at least an attribute name, a data type, and a value. The attribute name is a label for identifying the attribute, and may be a numerical value or a character string that does not overlap with all other attributes. The data type is the data type of the value of the attribute, and specifies a text type, a numeric type, a date and time type, and the like. The value is data having a data type specified as each attribute.

The document information management unit 1 manages each document as one record, and manages each attribute value in the form of a multidimensional database in which each attribute value is stored in association with each field. As this method, a general relational database can be used.

<Document Group Generation Unit> The document group generation unit 2 performs a process of applying a classification criterion to each attribute value and associating a document with a certain document group. As an example of the present embodiment, the same document can belong to a plurality of different document groups. In such a document group analysis support apparatus, since the classification process is performed for each document attribute, a classification method that effectively uses a variable type of data that the document attribute has as a value can be adopted. That is, for a document attribute having text (text type) data, the word to be included in the text is specified as a condition, and the document group to which the document belongs depends on whether the text as the attribute value satisfies the condition. How to judge. In this method, for example, if the sentence that is the data of the designated document attribute includes the word “case” or “crime”, the document group A and any of “baseball”, “soccer”, and “player” are included. A document group B is defined, and it is determined whether or not each document group includes a document.

As a classification method using a document attribute having numerical data, when a document attribute having quantitative data as a value is used, a range of possible values is specified for each document group, and the specification is performed. A method of determining whether or not the value of the attribute is included in the range can be used. This is, for example, for an attribute that takes integer-type data, if the value is between 0 and 19, the document group C, 2
This is a method of defining a document group D if it is between 0 and 39, and determining whether or not each document group includes a certain document.

FIG. 2 is a diagram showing an example of classification using document attributes according to the present invention, and is a diagram showing an example of a state in which a document group is defined by the above-described method. In this example, a classification criterion relating to a document attribute “age” having an integer value and a classification criterion relating to a document attribute “a resolution of the year” having a sentence as a value are shown. When such a classification criterion is used, if the “age” attribute value of a certain document is 36, the document belongs to the document group whose ID is 2, and the value of the attribute “this year's resolution” is “ Want to be slow. "
The document belongs to the document group whose ID is 12.

<Hierarchical Relationship between Document Groups> By combining a plurality of document groups and defining a hierarchy or inclusion relationship between them, the analyst can easily create a document group which is a union of a plurality of document groups. Can be acquired.

By configuring a document group to include not only documents but also other document groups as its members, it is possible to define a hierarchical structure between document groups. However, according to this method, various document groups may be included in one document group, and it is difficult to understand the meaning and positioning of each document group. Further, when the classification criterion is changed for a document group located at a higher level in the hierarchy, it is necessary to perform a process of reacquiring a document to which the document group located at a lower level belongs.

In order to avoid the above problem, there are roughly two methods. First, the relationship between document groups
There is a method to define it as an attribute of the document group. As an embodiment using this method, consider a case where a “subgroup” attribute is defined for a document group. Here, the subgroup attribute is a list including information for referring to zero or more groups. By designating a document group defined as a subgroup of a certain document group to have further subgroups, a hierarchical structure having multiple hierarchies between document groups can be defined. A document group for counting and counting,
When obtaining documents included in all the groups included in the document group, refer to the document group included in the document group and the document group included in all the document groups indicated in the subgroup attribute of the certain document group. Good.

In this method, a pair of the label information indicating the type of the relationship to be defined and the identification information (ID etc.) of the related document group is used as an attribute, for example, “related document group”. The same effect can be realized by giving the document group. here,
By making the “related document group” attribute an attribute having a list structure, a plurality of document groups can be defined as having a relationship with respect to one document group. Any type of relation, such as inclusion, similarity, juxtaposition, cause, and consequence, is defined. When this method is used, there is an effect that a plurality of relationships can be expressed using the same data structure as described above.

However, in this method, various document groups may be included in one document group, which makes it difficult to understand the meaning and position of each document group. Further, when the classification criterion is changed for a document group located at a higher level in the hierarchy, it is necessary to perform a process of reacquiring a document to which the document group located at a lower level belongs.

FIG. 3 is a diagram showing a tree describing an example of the structure between document groups according to the present invention. As a method of holding information defining the structure between document groups, separately from information on document groups, for example, there is a method of using a set formed by the inclusion relation between document groups. This set is called a document meta group (document meta group). A document metagroup can include one or more document groups. The information about the document meta group is expressed on a table different from the information about the document group, and includes information for referring to the information about the document group. To obtain all the documents included in the union constituted by the document groups in order to perform counting and totaling, all document groups included in a certain document meta group may be referred to. By defining a document metagroup to include another document metagroup, it is possible to define an inclusion relationship having multiple layers between document groups. Such an interrelation is shown in FIG. The document group is managed independently of the hierarchical structure between the document groups (configured by the document meta group).

According to the above-described method, it is not necessary to update the information on the document group each time a document meta group is generated, deleted, or edited, so that the processing involved in these operations does not become complicated. In this case, since the document group does not include another document group, the classification criteria for each document group can be simple regardless of the definition of the hierarchical relationship. Further, even when the classification criteria are changed for a certain document group, it is not necessary to reacquire the belonging document in another document group. Furthermore, when acquiring all the documents belonging to a certain document meta group, by calculating the total value in advance for each document group, the total and the total for a specific element can be quickly performed.

Further, when a document group analysis support apparatus that manages documents belonging to a plurality of different document groups and can perform totalization over a plurality of document groups is realized, one document meta group exists. By configuring so that only a group configured using a common document attribute is included, a document group that can be specified as a classification dimension related to the document attribute can be easily determined. It is possible to take measures such as appropriately displaying only the information to the analyst.

<Aggregation / Cross-Aggregation> Aggregation refers to statistical information such as the number of documents belonging to one or more document groups and the sum, average, and standard deviation of the attribute values of the belonging documents. , Which is called a total value). A variable indicating the classification of data in the aggregation is called a classification dimension. In the document group analysis support apparatus according to the present invention, it is possible to obtain a total value for each document group by using, as a classification dimension, one that includes one or more document groups. In the document group analysis support device of another embodiment, the document group includes documents obtained by designating a classification criterion for each single document attribute. By ensuring that document groups only have classification criteria for a single document attribute, when performing cross-tabulation, each classification dimension has as simple a meaning as possible, making the tabulation work easier for analysts to understand. By using a common classification criterion between the classification dimensions, it is possible to avoid unnecessary counting and to enable efficient counting.

Aggregation using a plurality of classification dimensions is particularly called cross aggregation. In the cross tabulation, by specifying a plurality of classification dimensions, data can be classified based on a combination of a plurality of classification conditions, and the data can be totaled. The area where a particular row and column intersect is called a cell. In the cross tabulation, each cell has, as its contents, a document belonging to any of a plurality of document groups associated with the cell.

As the total value, information such as the number of documents belonging to the cell to be obtained and the average, total, and standard deviation of the values belonging to the documents belonging to a specific document attribute are used. In the document group analysis support apparatus according to another embodiment of the present embodiment, when using a document attribute having a text as a value, a known summarization technique and a morphological analysis technique for a natural language are used in the tabulation processing unit 5. A summary of the text content or a list of included words can be used as a representative value.

The cross tabulation refers to the number of documents, the total value of the values, and the number of documents corresponding to a specified combination of rows and columns for data arranged in a two-dimensional table format having one or more rows and columns. This is a process of acquiring statistical information such as an average value and a standard deviation. The tally processing unit 5 and the tally result display unit 6
Existing OLAP clients can be used.
A typical OLAP client creates the results of cross tabulation in a table format, and then selectively displays only the results corresponding to the specified rows and columns, and uses a bar graph to display the results. It has a function to display various types of graphs such as a line graph and a line graph. As an example of realizing such a function, Seagate Software
There is Seagate Analysis of the company.

<Belonging to a Plurality of Document Groups> Qualitative data such as texts and images may correspond to a plurality of classification criteria depending on the case even if they have one value. this is,
This is because the qualitative data may include a plurality of contents in one value, or may be expressed by different criteria from a plurality of viewpoints. Therefore, when a classification process is performed by applying some classification criterion to a document attribute having qualitative data as its value, it may be appropriate that one document belongs to a plurality of document groups at the same time.

The document group generation unit 2 is configured to enable such multiple assignment, and the document group information management unit 3 is configured to manage the information of the multiplely assigned document group. Regarding the method of realizing the document group generation unit 2, when classifying document attributes having a sentence as a value according to a classification criterion of whether or not a certain word is included, if the classification criterion of FIG. 2 is taken as an example, For example, a sentence that includes both “work” and “study” (eg, “I want to study more and improve my work ability”) can exist, so the group 10
There are documents that belong to the group 12 and the group 12 multiplely, and in such a classification method, a state of multiple belonging can occur.

FIG. 4 is a diagram showing a data format in the document group information management unit according to the present invention. As an example of an implementation method relating to the document group information management unit 3, there is a method of using a data format as shown in FIG. 4 and holding a list of documents that are members for each document group. In this example, the document with ID 50 is the document group 51
, 52, and the document with ID 83 into document groups 50 and 51,
They belong to each other. As described above, when the same document belongs to a plurality of different document groups, the documents are managed by the document group information management unit 3. When performing aggregations based on these different document groups,
A process may be performed such that a document belonging to a document group in an overlapping manner is handled only once.

<Document Attributes and Classification Dimensions> As described above, when a classification that allows multiple affiliations is performed, a document group configured with different classification criteria may be independent of a document group based on other criteria. . In such a case, obtaining information on areas such as common, sum, and difference between them may be effective in analysis. That is, the classification dimension information 4 makes it possible to define a plurality of classification dimensions related to the document attribute that includes qualitative data as its value, and the tabulation processing unit 5 performs cross tabulation between them. It is effective to enable

<Documents Not Applicable to Classification Criteria> When a classification criterion is set for a document attribute having qualitative data as a value,
It is not always possible to set conditions so that all documents meet one of the classification criteria. In such a case,
If necessary, it is conceivable to perform processing so that a document that does not correspond to any classification criterion for a certain classification dimension always belongs to a certain document group (for example, “other” group). As a result, the analyst can grasp how much of the entire document can be explained by the set classification criteria.

<Designation of Classification Dimension> The specification of the classification dimension is performed, for example, according to the following operation procedure. First, it is assumed that one or more document groups or document meta groups have already been configured. First, the analyst defines a new classification dimension for a document attribute. Next, the display device 7 displays a document group and a document meta group configured with respect to the document attribute, and the analyst designates a desired one of them using the input device 8.

In addition to the definition of the classification dimension, it is necessary to specify the type of statistical information to be obtained as a total value. Specifically, when the result of the cross tabulation is displayed in the form of a table, a method of calculating a value to be displayed in each cell is designated. Examples of a method of obtaining the total value include the number of applicable documents, the sum of values of certain document attributes of the applicable documents, and the like.

FIGS. 5 to 9 are diagrams showing examples of the formed document group and two classification dimensions defined using the document group. FIG. 5 shows an example of the document information, and FIG. 7 and 8 show document metagroups relating to respective attributes in FIG. 6, and FIG. 9 shows two classification dimensions defining the document set in FIG. 5 using the document classification in FIG. It is a figure which shows each cross tabulation result.
In this example, when analyzing the differences in the description of "Aspirations of the Year" depending on the age group, a document group and a document meta group are separately set for each document attribute of the age group and the resolution of this year. It is assumed that cross-tabulation between two classification dimensions is performed by defining and defining them as classification dimensions. The reason that the total value in the vertical and horizontal directions does not match the total value in each cell is that multiple attributions have occurred between document groups in the classification regarding the document attribute “This year's resolution”.

As described above, the present invention has been described as a document group analysis support device including the above-described components.
A form as a document group analysis supporting method in which each of these elements is executed as a step is also possible, and can also be implemented by installing a program for causing a computer to function as each component in a computer. There may be an embodiment as a computer-readable recording medium on which a program is recorded.

[0058]

According to the present invention, it is possible to analyze a document group from different viewpoints while variously combining the classification results of a plurality of documents (document sets), thereby improving the efficiency of the analysis using the document sets. be able to.

According to the present invention, furthermore, since the document group is configured with respect to a specific document attribute, when the analyst specifies a classification dimension, a meaningless combination for performing cross tabulation is excluded. It becomes easy to define an organized and understandable structure.

According to the present invention, when a document group is classified using a document attribute having qualitative data as a value, it is possible to associate the same document with a plurality of document groups. Since it is possible to obtain a correct aggregation result even in a situation, it is possible to naturally analyze a document set including qualitative data having ambiguous characteristics.

According to the present invention, since the classification dimension can be defined in units of the document meta group, the operation of specifying the classification dimension can be made more efficient. Furthermore, if a hierarchical structure is defined between document groups, changing the classification criteria for one document group does not affect other document groups, making it easier to understand the characteristics of individual document groups. Document groups can be changed flexibly.

According to the present invention, when a document group is classified using a document attribute having qualitative data as a value, a plurality of classification dimensions can be defined for one document attribute. In addition, it is possible to naturally analyze a document set including qualitative data having ambiguous characteristics.

According to the present invention, when tabulation is performed on an attribute having a text as a value, text summaries of one or more documents and words included in the text and the frequency of the word are extracted as tabulated values. It is possible to perform various tabulations utilizing attribute values.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration of a document group analysis support device according to an embodiment of the present invention.

FIG. 2 is a diagram showing a classification example using a document attribute according to the present invention.

FIG. 3 is a diagram showing a tree describing an example of a structure between document groups according to the present invention.

FIG. 4 is a diagram showing a data format in a document group information management unit according to the present invention.

FIG. 5 is a diagram illustrating an example in which a document group is configured and two classification dimensions are defined using the document group.

FIG. 6 is a diagram showing an example of a configured document group and two classification dimensions defined using the document group.

FIG. 7 is a diagram illustrating an example of a configured document group and two classification dimensions defined using the document group.

FIG. 8 is a diagram illustrating an example of a configured document group and two classification dimensions defined using the document group.

FIG. 9 is a diagram illustrating an example of a configured document group and two classification dimensions defined using the document group.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Document information management part, 2 ... Document group generation part, 3 ... Document group information management part, 4 ... Classification dimension information, 5 ... Total processing part, 6 ... Total result display part, 7 ... Display device, 8 ... Input device .

 ────────────────────────────────────────────────── ─── Continued on front page (72) Inventor Katsuhiko Fujita 1-3-6 Nakamagome, Ota-ku, Tokyo F-term in Ricoh Co., Ltd. 5B049 AA02 GG09 5B075 NR12 UU06

Claims (22)

[Claims] 1. A document group analysis support apparatus for supporting a task of obtaining information necessary for decision making using a plurality of documents,
A document information management unit that manages each document so that it can be used for each attribute included in the document; a document group generation unit that classifies a plurality of documents based on a specified classification criterion; A document group information management unit for managing information about the group of documents, and a classification dimension composed of one or more document groups. According to the classification dimension, the number of belonging documents and the attribute values of the belonging documents are used. A document group analysis support device, comprising: a tally processing unit that performs tallying; and a tallying result display unit that displays information obtained as a result of the tallying. 2. A document group generated by the document group generating unit is configured according to a classification criterion for one attribute, and the document group information managing unit stores each document group with information on an attribute of the document group. The document group analysis support device according to claim 1, wherein the document group analysis support device manages the document group in association with each other. 3. The document group generation means enables the same document to belong to a plurality of different document groups, and the document group information management means manages documents belonging to the plurality of different document groups, 3. The aggregation processing unit according to claim 1, wherein, when performing aggregation based on a plurality of document groups, a document belonging to a plurality of document groups and belonging to each other is handled only once.
Document group analysis support device described in 1. 4. A document meta group management means for defining and managing a document meta group which can include one or more document groups, which are configured with respect to the same attribute, 4. The document group analysis support apparatus according to claim 1, wherein when specifying the document group, the specification is performed in units of a document meta group. 5. The tabulation processing means has a plurality of classification dimensions constituted by one or more document groups, and tabulates using the number of belonging documents and attribute values of the belonging documents according to the plurality of classification dimensions. 5. The method according to claim 1, wherein
2. The document group analysis support device according to claim 1. 6. The method according to claim 1, wherein the totaling processing unit specifies a plurality of classification dimensions for one attribute, and performs a cross-tabulation process between the plurality of classification dimensions. 6. The document group analysis support device according to any one of 1 to 5. 7. The aggregation processing means, when performing aggregation for an attribute having a text as a value, as a summary of a text of one or more documents, a word included in the text, and a frequency of the word. The document group analysis support device according to claim 1, wherein the document group analysis support device is capable of extracting. 8. A document group analysis support method for supporting a task of obtaining information necessary for decision making using a plurality of documents,
A document information management step of managing each document so that it can be used for each attribute included in the document; a document group generation step of classifying a plurality of documents based on a specified classification standard; and a document group generation step A document group information management step of managing information related to a group of documents, and a classification dimension composed of one or more document groups. According to the classification dimension, the number of belonging documents and the attribute values of the belonging documents are used. A document group analysis support method, comprising: a tabulation processing step of tabulating; and a tabulation result display step of displaying information obtained as a result of the tabulation. 9. Each document group generated in the document group generation step is configured according to a classification criterion for one attribute, and the document group information management step includes a step of storing each document group with information on an attribute of the document group. The document group analysis support method according to claim 8, wherein the document group analysis is managed in association with each other. 10. The document group generation step enables the same document to belong to a plurality of different document groups, and the document group information management step manages documents belonging to the plurality of different document groups, 10. The document group according to claim 8, wherein, in the tabulation processing step, when counting is performed based on a plurality of document groups, a document that belongs to and overlaps between the document groups is handled only once. Analysis support method. 11. A document meta group management step for defining and managing a document meta group that can include one or more document groups and configured with respect to the same attribute. 11. The document group analysis support method according to claim 8, wherein when the group is specified, the specification is performed in units of a document meta group. 12. The tallying step has a plurality of classification dimensions constituted by one or more document groups, and uses the number of belonging documents and attribute values of the belonging documents according to the plurality of classification dimensions. 9. The method according to claim 8, wherein
12. The document group analysis support method according to any one of items 1 to 11. 13. The method according to claim 1, wherein the aggregation processing step specifies a plurality of classification dimensions for one attribute, and performs cross aggregation processing between the plurality of classification dimensions. 13. The document group analysis support method according to any one of 8 to 12. 14. The tallying step includes, when tallying an attribute having a text as a value, as a tally value such as a text summary of one or more documents, a word included in the text, and a frequency of the word. 14. The document group analysis support method according to claim 8, wherein the document group analysis can be extracted. 15. A computer-readable storage medium in which a program for causing the apparatus to function as the document group analysis support apparatus according to claim 1 is recorded. 16. Managing document information so that each of a plurality of documents can be used for each attribute included in the document, classifying the plurality of documents based on a specified classification criterion, and generating a document group. It manages information on the generated document group, has a classification dimension composed of one or more document groups, and performs aggregation using the number of belonging documents and attribute values of the belonging documents according to the classification dimension. A computer-readable storage medium in which a program for supporting a task of obtaining information necessary for decision making using a plurality of documents by displaying information obtained as a result of aggregation is provided. 17. The generated document group is configured according to a classification criterion for one attribute, and the information on the document group is managed by associating each document group with information on an attribute of the document group. 17. The method according to claim 16, wherein
A computer-readable storage medium according to claim 1. 18. The method according to claim 18, wherein the same document belongs to a plurality of different generated document groups, and the documents belonging to the plurality of different document groups are managed, and the totaling is performed based on the plurality of document groups. 18. The computer-readable storage medium according to claim 16, wherein when counting is performed, a document belonging to a group of documents that overlaps is handled only once. 19. Define and manage a document meta group that can include one or more document groups that are configured with respect to the same attribute, and the aggregation is performed when specifying a document group in a classification dimension.
19. The computer-readable storage medium according to claim 16, wherein specification is performed in units of the document meta group. 20. The tabulation has a plurality of classification dimensions composed of one or more document groups, and is a tabulation using the number of belonging documents and attribute values of the belonging documents according to the plurality of classification dimensions. The computer-readable storage medium according to claim 16, wherein the storage medium is a computer-readable storage medium. 21. The tallying method according to claim 16, wherein a plurality of classification dimensions are designated for one attribute, and cross-tabulation processing among the plurality of classification dimensions can be performed. 21. The computer-readable storage medium according to any one of 20. 22. When the tabulation is performed on an attribute having text as a value, the tabulation is extracted as a summary value of text of one or more documents, a word included in the text, and a frequency of the word. The computer-readable storage medium according to any one of claims 16 to 21, wherein the storage medium is capable of performing the following.