JP7048891B2 - Information processing equipment, information processing systems, control methods, and programs - Google Patents

Description

The present invention relates to an information processing apparatus, an information processing system, a control method, and a program for streamlining a search method for a search target.

In order to develop products and services from the customer's perspective, we utilize "customer voices" such as expectations, requests, and dissatisfactions that customers have made regarding products and services, such as inquiries to contact centers, questionnaires and voices posted on SNS. It is important to.

There is a technology called "text mining" as a technology for searching for interesting information and analyzing trends from a large amount of text data, and many companies have released text mining products.

However, text mining is not a technology in which a computer understands the contents of a huge amount of text data and outputs useful knowledge for humans. Since it is a technology to support the effective use of data, text mining tools are required to have an interface that is easy for humans to understand.

In order to obtain knowledge from a huge amount of text data, it is necessary to visualize the data from various viewpoints, such as narrowing down by attribute information such as age and gender, and data containing some words, and repeat trial and error.

Therefore, the search formula used to search the data can be easily generated by the user, and the meaning of the search formula can be grasped at a glance in the analysis process so as not to misunderstand the analysis result and make a wrong judgment. It is desirable to be presented.

Therefore, in response to the difficulty of creating a search expression, a method of automatically generating a search expression and presenting it to the user in the form of a tree structure by dragging or clicking on the words contained in the sample document is disclosed. (See, for example, Patent Document 1).

Further, in order to support the creation of a search expression using a plurality of words, a method of classifying words into categories, treating words in the same category as an OR combination, and treating the categories as an AND combination is disclosed (for example,). See Patent Document 2).

Further, in order to present a search formula that can be intuitively understood and modified, a method of displaying a tree structure in which an AND condition is a parent-child relationship and an OR condition is a sibling relationship is disclosed (for example, a patent). See Document 3).

Japanese Unexamined Patent Publication No. 2012-78966 Japanese Unexamined Patent Publication No. 2009-145992 Japanese Unexamined Patent Publication No. 2012-123578

The method of displaying the search formula by the tree structure in the inventions described in Patent Document 1 and Patent Document 3 is for analytical analysts who are familiar with information technology (understand that the search formula can be expressed by the tree structure). Although it can be said that it is an easy-to-understand format, users who use text mining tools do not always have similar skills, and it is not always a structure that is intuitively easy for tool users to understand. ..

In addition, while the expression of the search formula by the tree structure facilitates the editing work of the search formula, it requires a lot of space for screen display, and when the analysis result is presented at the same time as the area to be visualized, the analysis result is viewed. I have to reduce the space to do it.

At this time, it is possible to temporarily hide the search expression area displayed as a tree structure, but in order to prevent the tool user from misunderstanding the analysis result being displayed. , It is desirable that the search formula is always displayed in an easy-to-understand manner.

In the invention described in Patent Document 2, words used as a search expression are displayed in a node format, words belonging to the same group are implicitly treated as an OR combination, and groups are implicitly treated as an AND combination. The structure of is visualized in an easy-to-understand manner.

However, users of text mining tools do not always want to treat as an OR combination in a set of words treated as the same group, and there are quite a few cases where they want to search for a document containing both words.

Further, in the invention described in Patent Document 2, a method of creating a search formula for the entire text is described, but in the text mining tool, the data item to be searched is not always one type, and the data may be included. In the linked attribute information (poster's age, gender, etc.) and data such as questionnaires, multiple free description fields can be the search target, so it is necessary to visualize the search formula considering the search target item. Become.

Therefore, an object of the present invention is to provide a mechanism for efficiently showing information related to a document desired by a user .

In order to solve the above problems, the present invention comprises a determination means for determining information relating to an element of a selected item from a group of documents , an item element receiving means for accepting selection of information relating to an element determined by the determination means, and the like. It is characterized by comprising a display control means for controlling the display of the result according to the document specified by using the information related to the element of the item received by the item element receiving means .

According to the present invention, there is an effect that the information related to the document desired by the user can be efficiently shown .

It is a block diagram which shows the schematic structure of an information processing system. It is a block diagram which shows the hardware configuration of a client terminal and an information processing apparatus. It is a block diagram which shows the structure of the function of an information processing system. It is explanatory drawing which shows an example of the mouthfulness information. It is a block diagram which shows the structure of the analysis screen. It is a block diagram which shows the structure of the search condition operation area. It is a figure which shows the logical expression which has the same meaning as the search expression shown in the search condition visualization area. It is a figure which shows the search expression represented by the tree structure which has the same meaning as the search expression shown in the search condition visualization area. It is a drawing for demonstrating the method of adding the search condition to the search condition visualization area. It is a drawing for demonstrating the operation method of a search condition node. It is a block diagram which shows the structure of the viewpoint display area. It is explanatory drawing for demonstrating the method of creating a search condition node. It is explanatory drawing for demonstrating the method of creating a search condition node. It is a block diagram which shows the structure of the analysis result display area. It is a drawing for demonstrating the method of editing the visualization item in the analysis result visualization area. It is a drawing for demonstrating the method of editing the visualization item in the analysis result visualization area. It is a drawing for demonstrating the method of editing the visualization item in the analysis result visualization area. It is a drawing for demonstrating the method of editing the visualization item in the analysis result visualization area. It is a drawing for demonstrating the method of editing the visualization item in the analysis result visualization area. It is a drawing for demonstrating the method of editing the visualization item in the analysis result visualization area.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

FIG. 1 shows a schematic configuration of an information processing system that analyzes a customer's voice regarding a product or service of a customer or the like included in the text data by performing text mining on the text data.

The information processing system 100 includes a client terminal 102 that displays the result of text mining on text data, and an information processing device 104 that accumulates text data and performs text mining, each of which is via a network 106. It is connected so that it can communicate with each other.

Next, FIG. 2 describes an example of a hardware configuration applicable to the client terminal 102 and the information processing apparatus 104.

In FIG. 2, 201 is a CPU that comprehensively controls each device and controller connected to the system bus 204. Further, the ROM 202 or the external memory 211 is necessary to realize a function executed by a BIOS (Basic Input / Output System) or an operating system program (hereinafter, OS) which is a control program of the CPU 201, and each server or each PC. Various programs described later are stored.

Reference numeral 203 denotes a RAM, which functions as a main memory, a work area, and the like of the CPU 201. The CPU 201 realizes various operations by loading a program or the like necessary for executing a process from the ROM 202 or the external memory 211 into the RAM 203 and executing the loaded program.

Further, 205 is an input controller, which controls input from a keyboard (KB) 209, a pointing device such as a mouse (not shown), or the like. Reference numeral 206 denotes a video controller, which controls the display on a display such as a CRT display (CRT) 210.

Although it is described as CRT210 in FIG. 2, the display may be not only the CRT but also another display such as a liquid crystal display. These are used by the administrator as needed.

The 207 is a memory controller, which is connected to a hard disk (HD) for storing boot programs, various applications, font data, user files, edit files, various data, etc., a flexible disk (FD), or a PCMCIA card slot via an adapter. It controls access to an external memory 211 such as a compact flash (registered trademark) memory.

Reference numeral 208 denotes a communication I / F controller, which connects and communicates with an external device via a network (for example, network 106 shown in FIG. 1), and executes communication control processing on the network. For example, communication using TCP / IP is possible.

The CPU 201 enables display on the CRT 210 by, for example, executing an outline font expansion (rasterization) process in the display information area in the RAM 203. Further, the CPU 201 enables a user instruction with a mouse cursor or the like (not shown) on the CRT 210.

Various programs described later for realizing the present invention are recorded in the external memory 211, and are executed by the CPU 201 by being loaded into the RAM 203 as needed. Further, a definition file and various information tables used when executing the above program are also stored in the external memory 211, and detailed explanations thereof will be described later.

Next, the functional configuration of the client terminal 102 and the information processing apparatus 104 will be described with reference to FIG. The details of each function will be explained at the same time as the explanation of the screen.

The client terminal 102 includes a display unit 300 and a search unit 302, and the display unit 300 displays information about a document stored in the information processing apparatus 104 and information about a result obtained by analyzing the information about the document. do.

Further, the display unit 300 accepts and displays the designation of the search condition for the information about the displayed document and the information about the result obtained by analyzing the information about the document.

The search unit 302 searches the information processing apparatus 104 for information and the like related to the document to be displayed on the display unit 300 by using the search conditions displayed on the display unit 300.

The information processing apparatus 104 includes a storage unit 304 and an analysis unit 306, and the storage unit 304 includes information to be analyzed (for example, information on mouth-to-mouth information on a product, investigation, quality inspection, failure inspection, and other report information, and job satisfaction. It memorizes information on technical and academic fields such as questionnaires, sales activities, recorded information on work, patent documents, academic papers, market conditions / news, etc.).

Further, the storage unit 304 stores information regarding the search condition displayed by the display unit 300.

The analysis unit 306 analyzes the information stored in the storage unit 304 to be analyzed by applying a technique such as text mining.

Next, as an example of the information to be analyzed, as shown in FIG. 4, the posting date and time indicating the date and time posted on the SNS, the product indicating the product to which the posted content was made, and the posted content There are comments indicating that, the evaluation of the product, the age of the poster, and the information such as the gender of the poster.

Text data having such information is acquired from the storage unit 304, analyzed by the analysis unit 306 using the text mining tool, and the information regarding the analysis result is displayed on the analysis screen 400 (see FIG. 5) by the display unit 300. indicate.

FIG. 5 shows the configuration of the analysis screen 400, which includes a search condition operation area 402, a viewpoint display area 404, and an analysis result display area 406.

FIG. 6 illustrates the search condition operation area 402, and includes a search condition addition icon 500, a search condition return icon 502, a search condition storage icon 504, a document number display area 506, and a search condition visualization area 508.

The search condition visualization area 508 includes an item name representing an item to be searched and a plurality of nodes having a label representing the value of the search condition (hereinafter referred to as a search condition node).

As the items to be searched, for example, as shown in the figure, "comment.word", "product", and "evaluation" are displayed, and "comment.word" is a "comment" item by the analysis unit 306. On the other hand, it represents a word set analyzed and extracted from text data such as mouthpiece information by morphological analysis technology, and "product" and "evaluation" represent items such as products and evaluation included in mouthpiece information.

The search condition nodes are grouped and displayed by the display unit 300 for each item to be searched, and a character string that simply represents the search condition is displayed on the label of the search condition node.

For example, as shown in the figure, the search condition node 510 represents a search condition related to "words included in comments", and is a condition for narrowing down documents including the word "image quality" in the comment items. ..

In the search condition node, the display unit 300 displays the NOT condition by displaying a character string "-" indicating that the NOT condition is a NOT condition at the beginning of the label and changing the color of the search condition node.

For example, the search condition node 512 represents a NOT condition for the word "clean", and is a condition for narrowing down documents that do not include the word "clean" in the comment item.

In the search condition node, the OR combination conditional expression is displayed by the display unit 300 on the label in the search condition node as a character string "OR" indicating that the OR combination is performed between the character strings representing the values of the search condition. Will be done.

For example, the search condition node 514 is a condition for narrowing down documents including either "Product B" or "Product C" in the product item.

Search expressions using equal signs and inequality signs can be created for items that represent quantities and dates, and in search condition nodes, conditional expressions that include equal signs and inequality signs are characters that represent the symbol corresponding to the beginning of the label. By adding a column, it is displayed on the display unit 300.

For example, the search condition node 516 is a condition for narrowing down documents having an evaluation item of "3 or more".

All the search condition nodes displayed in the search condition visualization area 508 form a search expression by AND combination.

As described above, the search formula shown in the search condition visualization region 508 of FIG. 6 has the same meaning as, for example, a logical formula as shown in FIG. 7 or a search formula represented by a tree structure as shown in FIG. ..

The search condition visualization area 508 groups search conditions for the same item, simplifies the character string indicating the search condition, and displays it as a node label by the display unit 300, thereby suppressing the display area of the search condition expression. Achieve visualization in a format that is easy for humans to understand.

As a constraint for grouping and organizing search conditions for the same item, it may not be possible to express an OR combination in different search target items, but this problem will be solved in the search condition group registration process described later. It is possible.

Next, a method of creating a search condition node will be described. There are five major ways to create a search condition node: form input, search condition node operation, item value selection, search condition group value selection, and analysis result display area operation. Be separated.

First, a method of creating by inputting a form will be described with reference to FIG. The input form for adding the search condition is displayed by the display unit 300 in the search condition operation area 402 by clicking the search condition addition icon 500.

FIG. 9A shows the search condition operation area 402 after clicking the search condition addition icon 500.

The form for adding the search condition includes a search target item selection button 600 and a search formula input form 602.

The search target item selection button 600 is a button for changing the search target item used as the search formula, and by clicking the search target item selection button 600, the search target item selection drop-down list 604 shown in FIG. 9B is displayed by the display unit 300. indicate.

As the search target item to be displayed in the search target item selection drop-down list 604, for example, each item of the above-mentioned mouth-watering information is displayed by the display unit 300, and for the comment, a characteristic word of the comment is displayed (comment. Word). ), The dependency relationship between words is displayed by the display unit 300 (comment. Dependency).

In the search target item selection drop-down list 604, the symbols "t_", "w_", and "#_" described before the item name represent the data type of the item value, and each is "date and time type". , "Character string type", "numeric type".

The search expression input form 602 receives a search expression according to the data type of the item value by the display unit 300. For example, for the item "product" which is a character string type, wildcards such as "*" representing an arbitrary plurality of characters and "?" Representing an arbitrary single character can be used.

FIG. 9C shows a state in which "Product A *" is input as a search formula. The user confirms the content entered in the search expression input form 602 by inputting the Enter key, so that the search condition node 606 shown in FIG. 9D is created by the display unit 300.

In addition, for the item "evaluation" which is a numerical type, a symbol indicating the magnitude relationship by equal sign and inequality sign can be used. FIG. 9 (e) shows a state in which the search formula “> = 3” is input for the item “evaluation”, and FIG. 9 (f) shows that the search condition node 608 is created after the input is confirmed. It shows how it looks.

As described above, the search expression input form 602 is a form in which a search expression corresponding to the type of the search target item can be input, and a search condition node can be generated by confirming the input. For the sake of brevity, the details of other data types and the search expressions that can be used for each data type are omitted.

Next, the creation by the operation of the search condition node will be described with reference to FIG. FIG. 10A is an example of a search condition node, and the display unit 300 holds “product B” as a search expression.

The search condition node 700 displays the negative condition switching icon 702, the search expression edit icon 704, and the search condition deletion icon 706 shown in FIG. 10B by the hover operation (or touch operation) of the user by the display unit 300. do.

The negative condition switching icon 702 is an icon for converting the search expression held by the search condition node into a NOT condition, and the search expression of the search condition node is rewritten by the display unit 300 by a click operation.

FIG. 10C shows the search condition node 700 after clicking the negative condition switching icon 702, and the character string “-” indicating that the search condition is a NOT condition with respect to the original search formula “product B”. "Is inserted.

When a hover operation (or touch operation) is performed on the search condition node which is a NOT condition, as shown in FIG. 10D, the positive condition switching icon 708 is used instead of the negative condition switching icon 702. It is displayed by the display unit 300.

The affirmative condition switching icon 708, contrary to the negative condition switching icon 702, is an icon for removing the character string "-" indicating that the condition is NOT from the search formula of the search condition node.

The search expression edit icon 704 is an icon for the user to directly edit the search expression held by the search condition node by inputting a form.

By the click operation, as shown in FIG. 10 (e), the label of the search condition node 710 is replaced with an editable form, and the search formula can be directly edited.

The search condition deletion icon 706 is an icon for deleting the search condition node. By the click operation, the search condition node is removed from the search condition operation area 402.

OR combination of search conditions can be realized by superimposing a search condition node on another search condition node by a drag and drop operation.

FIG. 10 (f) shows a state in which the search condition node 712 is dragged and superimposed on the search condition node 714, and when the drop operation is completed, the two search condition nodes are merged and FIG. 10 (g). ), The search condition node 716 having the OR condition as the search formula is generated by the display unit 300. Note that the search condition node accepts the drop operation only for the search condition node in the same group.

As described above, the search condition node is a node in which the search expression can be edited by a simple operation by the user.

Next, the creation of the search condition node by selecting the value of the item will be described with reference to FIG. FIG. 11A shows the viewpoint display area 404. The viewpoint display area 404 includes an item display area 800 and a search condition group display area 802.

The item display area 800 is an area for displaying the aggregation result for each item, and by clicking the folder icon on the left side of the item name, the display unit 300 displays each item value under the current search conditions. The number of documents included can be displayed in a list. In addition, these items and the number of documents indicate the items and the number of documents related to the mouth-to-mouth information to be analyzed.

FIG. 11B shows the viewpoint display area 404 after clicking the folder icon 804 in the “product” item, and the document number list 806 for each item value in the product item is displayed by the display unit 300. ..

Each item value in the document number list 806 for each item value is an area that can be selected by clicking. FIG. 11C shows a state in which the item value “product B” and the item value “product C” are selected.

By selecting one or more item values, the search condition node creation icon 808 is displayed on the right side of the item name. By clicking the search condition node creation icon 808, the user can add a search condition node that holds a search expression in which the selected item values are connected by OR combination.

Next, a method of creating a search condition node by selecting a value of the search condition group will be described with reference to FIGS. 12 and 13. FIG. 12A is an example of the search condition operation area 402, and shows a state in which three search condition nodes exist.

When the user clicks the search condition save icon 504, the search condition save / edit form 900 shown in FIG. 12B is displayed on the CRT 210 by the display unit 300.

The search condition save / edit form 900 includes a search condition group name input form 902, a search condition name input form 904, a search condition input form 906, and a save button 908.

Here, in the search condition input form 906, the search condition at the time when the search condition save icon 504 is clicked is input in advance in the format of the logical formula shown in FIG.

The user can save the search condition in the storage unit 304 by inputting the search condition group name input form 902 and the search condition name input form 904 and pressing the save button 908.

The search condition saved by the search condition save / edit form 900 can be referred from the search condition group display area 802 and used for creating the search condition node.

The search condition group display area 802 is an area for displaying the aggregated result for each search condition, and by clicking the folder icon on the left side of the search condition group name, the display unit 300 can display the aggregated result under the current search condition. , The number of documents that match each search condition can be displayed in a list.

FIG. 13A shows the viewpoint display area 404 after clicking the folder icon 1000 in the “customer layer” group, and the display unit 300 displays a list of the number of documents 1002 for each search condition in the customer layer group. ing.

Each search condition name in the document number list 1002 for each search condition is an area that can be selected by clicking, and the selected search condition is used as the search condition in the same manner as the method of creating the search condition node by selecting the item value described above. Can be created as a node.

FIG. 13B shows the search condition operation area 402 after selecting the search condition “M1 layer” and clicking the search condition node creation icon, and the search condition node 1004 is created.

The search condition operation area 402 is grouped by using the search condition group name in the search condition node related to the search condition saved as a name, and the search condition name is displayed on the label of the search condition node by the display unit 300. Is displayed.

In the search condition node 1004 created by selecting the value of the search condition group, almost the same operation as the operation of the search condition node described with reference to FIG. 10 is possible, but when the search expression edit icon 704 is pressed, the operation is almost the same. , The label of the search condition node does not change to the search formula input form, but the search condition save / edit form 900 is displayed on the screen by the display unit 300.

The method of creating a search condition node by selecting the value of the search condition group has been described above. Even for complicated search conditions, by saving and using it with a name, it is possible to significantly reduce the area required for visualizing the search conditions.

In addition, the logical formula created as a search condition only needs to be confirmed if there is an error when creating the search condition, and by setting an appropriate search condition name, the risk of the user misidentifying the search condition during the analysis work is reduced. Will be possible.

Since the search condition input form 906 is edited in the form of a logical expression, it is possible to create a search condition for OR combination between different items.

Next, a method of creating a search condition node by operating the analysis result display area 406 will be described with reference to FIG.

The analysis result display area 406 is an area for visualizing the data input to the text mining tool in various charts, and can display a plurality of charts at the same time. Hereinafter, the chart displayed in the visualization area is referred to as a visualization item.

For example, FIG. 14A is an example of the analysis result display area 406, which includes a time-series transition 1100 of the number of documents, a list of frequently-used words 1102 displaying a ranking of frequently-used words in a document, and a document list 1104. Three visualization items are simultaneously displayed by the display unit 300.

Further, FIG. 14B shows an analysis result display area 406 in a state where the cross tabulation table 1112 is displayed as one visualization item.

In addition, various visualization items can be displayed, such as displaying the topic in the free description column in a network structure, displaying the transition of the topic in a table format, displaying the change in the number of documents including the soaring word as a line graph, etc. However, details are omitted for the sake of brevity.

Each visualization item displayed in the analysis result display area 406 is automatically redrawn by the display unit 300 according to a change in the search condition.

By pressing the element of each visualization item, the user can generate a search condition node having the information of the element as a search condition by the display unit 300.

For example, in the time-series transition 1100 of the number of documents, by pressing the element 1106 indicating the number of documents posted in November 2017, a search condition node having a search condition that the "posting date and time" is November 2017. Is generated.

In addition, in the list of frequently-used words 1102, a search condition node having a search condition that "operability" is included in "comment.word" by pressing the element 1108 representing the information of the document including "operability". Is created. That is, the search unit 302 searches for a document in which the word "operability" is included in the comment of the word-of-mouth information. The list 1102 of the frequently-used words is "product" and "comment. Feature word" by the display unit 300. , "Category" etc. can be changed. For example, by pressing the analysis item 1110, a drop-down list is displayed, and "Product", "Comment. Feature word", "" It is possible to display "category" and the like so that the user can select it.

When "Product" is selected, the product ranking (number of documents for each product) is displayed, and when "Comment.Characteristics" is selected, the ranking of the characteristic words included in the document is displayed, and "Category". If you select, the ranking for each product category is displayed. All of these display the ranking obtained by analyzing the mouth-watering information and the like.

As a result, when trying to display all the items to be displayed on the screen, if the display area is narrow, there is a problem that it is visually difficult to see. By selecting the item of interest, it is possible to narrow down the search and search, so it is possible to perform a visually good search.

In the cross tabulation table 1112, by pressing the element 1114, two search condition nodes whose "age" is "30's" and the search condition node whose "product" is "product B" are created.

As described above, the user can easily create a search condition for deeply digging a place of interest by the user by operating the analysis result display area 406.

The created search condition node is automatically grouped by the search target item or the search condition group name by the search condition visualization area 508 and displayed by the display unit 300, so that the user is always in an organized state. You can proceed with the analysis work while checking the search conditions.

Next, a method of editing the visualization item in the analysis result display area 406 using the search condition node will be described with reference to FIG.

The search condition node can be dragged, and by dropping it on the visualization item, it is possible to add a cut according to the search condition to the visualization item.

FIG. 15A shows a search condition operation area 402 in a state where three search condition nodes are generated, and a time-series transition 1100 of the number of documents, which is an example of a visualization item.

For example, as shown in FIG. 15B, the user can drag and drop the search condition node 1200 to the time-series transition 1100 of the number of documents.

FIG. 15C shows the search condition operation area 402 after dragging and dropping the search condition node 1200, and the time-series transition 1100 of the number of documents, which is an example of the visualization item.

When the search condition node is dropped on the visualization item, the corresponding search condition node disappears, and the display unit 300 adds a cut corresponding to the search condition to the dropped target visualization item.

In the above example, the item name 1202 of the search condition and the character string 1204 representing the search expression displayed as the label of the search condition node are displayed by the display unit 300 as the legend of the graph, and match the search condition. The time-series transition of the number of documents is displayed by the display unit 300 as a line graph 1206.

The same effect can be obtained by dragging and dropping on the visualization item in the search condition node created by selecting the value of the search condition group.

FIG. 16 shows the state after dropping two search condition nodes, that is, the search condition node related to the “product” item and the search condition node related to the “customer layer” search group from the state of FIG. 15 (c). ..

In this way, by using the search condition node, it is possible to easily create a chart having a complicated condition as a cut.

In the viewpoint display area 404 and the analysis result display area 406, the same processing can be performed by directly dragging and dropping each element that can create a search condition node to the visualization item by performing an operation such as clicking or selecting. It is possible. Hereinafter, it will be described with reference to an example.

FIG. 17 shows a state in which the element 1302 in the document number list 1300 for each item value is dragged and dropped toward the time-series transition 1100 of the document number.

FIG. 18 shows the state after dragging and dropping the element 1302, and similarly to the drag and drop operation of the search condition node, the legend showing the search condition and the line graph are displayed in the time series transition 1100 of the number of documents. Has been done.

It goes without saying that the same operation can be performed for the elements in the list 1102 of frequently-used words existing in the analysis result display area 406 and each element in other visualization items.

In addition to the search condition node and the elements that can create the search condition node, each item name and search condition group name in the viewpoint display area 404 can also be dragged and dropped onto the visualization item. , It is possible to edit the visualization item.

This operation is the same as when the dragged and dropped item or each element belonging to the search condition group is dragged and dropped.

FIG. 19 shows how the item name 1400 is dragged and dropped toward the time-series transition 1100 of the number of documents.

FIG. 20 shows the state after the element 1402 is dragged and dropped, and the legend corresponding to each item value included in the “gender” item and the line graph are displayed in the time series transition 1100 of the number of documents. ..

The same operation can be performed for the search condition group name. By performing these operations, for example, it is possible to drag and drop the search condition group name on the vertical axis of the cross tabulation table 1112 and replace the axis used on the vertical axis.

The method of adding and changing the analysis cut by dragging and dropping the search condition node and the element that can generate the search condition node to the visualization item has been described above.

In the above, regarding the editing of the visualization item by the item value or the search condition group name, the embodiment in which the operation is the same as when each element is dragged and dropped has been described, but the elements of the search condition that can be input at one time. Some control may be added for each visualization item, such as limiting the number and ordering the input order in the order of the frequency of the number of documents.

As described above, the search unit 302 searches for the document to be analyzed stored in the storage unit 304 using a wide variety of search conditions designated and displayed on the analysis screen 400 by a simple operation, and the search result is obtained. Is displayed on the display unit 300.

Therefore, the user can perform the analysis work while displaying the search conditions that are easy to understand intuitively on the screen, and suppress the analysis error by misidentifying the search conditions set by the user. Can be planned.

In the embodiment of the present invention, the mouth-watering information for the product is given as an analysis target example, but the analysis target example is not limited to such a specific causal relationship such as a report of investigation, quality inspection, failure inspection, etc. It is also possible to obtain knowledge on quality improvement for those reported on factor investigations regarding investigation targets and cause investigations for failures.

In addition, it is possible to connect to the next activity by grasping the tendency from the recorded contents, targeting those recorded in low regulations such as job satisfaction questionnaires, sales activities, work records, etc.

Furthermore, it is possible to quantitatively grasp the features and trends of highly specialized content, such as patent literature, academic papers, market conditions / news, and other technical and academic specialized fields.

As described above, a recording medium recording a program that realizes the functions of the above-described embodiment is supplied to the system or device, and the computer (or CPU or MPU) of the system or device stores the program in the recording medium. Needless to say, the object of the present invention can be achieved by reading and executing.

In this case, the program itself read from the recording medium realizes the novel function of the present invention, and the recording medium on which the program is recorded constitutes the present invention.

Recording media for supplying programs include, for example, flexible disks, hard disks, optical disks, magneto-optical disks, CD-ROMs, CD-Rs, DVD-ROMs, magnetic tapes, non-volatile memory cards, ROMs, EEPROMs, and silicon. A disc or the like can be used.

Further, by executing the program read by the computer, not only the function of the above-described embodiment is realized, but also the OS (operating system) or the like running on the computer is actually realized based on the instruction of the program. Needless to say, there are cases where a part or all of the processing is performed and the processing realizes the functions of the above-described embodiment.

Further, after the program read from the recording medium is written in the memory provided in the function expansion board inserted in the computer or the function expansion unit connected to the computer, the function expansion board is based on the instruction of the program code. It goes without saying that there are cases where the CPU or the like provided in the function expansion unit performs a part or all of the actual processing, and the processing realizes the functions of the above-described embodiment.

Further, the present invention may be applied to a system composed of a plurality of devices or a device composed of one device.

It goes without saying that the present invention can also be applied when it is achieved by supplying a program to a system or an apparatus. In this case, by reading the recording medium containing the program for achieving the present invention into the system or device, the system or device can enjoy the effect of the present invention.

Further, by downloading and reading a program for achieving the present invention from a server, database, or the like on the network by a communication program, the system or device can enjoy the effect of the present invention.

It should be noted that the present invention also includes all the configurations in which each of the above-described embodiments and modifications thereof are combined.

100 Information processing system 102 Client terminal 104 Information processing device 106 Network

Claims (11)

A display means for displaying the item value in the search item specified from the document group to be searched, and
A reception means that accepts the selection of item values displayed by the display means, and
A search means for searching the document group using the item value for which selection has been accepted by the reception means as a search condition, and a search means.
Equipped with
The information processing apparatus is characterized in that the display means displays an item value whose selection has been accepted by the reception means as a search condition, and displays a time-series transition of the number of posts of a document searched by the search means . A display means for displaying item values in search items identified from a group of documents to be searched, and
A reception means that accepts the selection of item values displayed by the display means, and
A search means for searching the document group using the item value for which selection has been accepted by the reception means as a search condition, and a search means.
By accepting the operation of overlapping the search conditions, a joining means for connecting the search conditions with a predetermined logical formula and a joining means.
Equipped with
The display means displays the item values selected by the reception means as search conditions, displays the search conditions combined by the combination means as one search condition, and displays the search results based on the search conditions. An information processing device characterized by. It is provided with an instruction receiving means for receiving an instruction to set the search condition as a NOT condition by receiving a predetermined instruction for the displayed search condition.
The information processing apparatus according to claim 1 or 2 , wherein the search means searches the document group according to the search conditions based on the instructions received by the instruction receiving means. The information processing apparatus according to claim 3, wherein the information processing means displays the search condition for which the instruction set as the NOT condition by the instruction receiving means is received so as to be identifiable as the NOT condition. 3. The information processing device described in. Further provided with an input receiving means for accepting input of an item value in the search item,
The display means is characterized in that it displays information indicating a data type that can be input as the item value.
The information processing apparatus according to any one of claims 1 to 5 , wherein the search means searches for the document group according to an item value for which input is received by the input receiving means. The display means according to any one of claims 1 to 6, wherein the display means displays the time-series transition of the number of submitted documents in an identifiable manner for each item value for which selection is accepted by the reception means. Information processing device. The display means of the information processing device is the first display step of displaying the item value in the search item specified from the document group to be searched, and
The reception process in which the reception means of the information processing device accepts the selection of the item value displayed by the display process, and the reception process.
A search process in which the search means of the information processing device searches for the document group using the item value selected by the reception process as a search condition.
A second display step in which the display means of the information processing device displays the item value selected by the reception process as a search condition, and displays the time-series transition of the number of posts of the document searched by the search process.
An information processing method characterized by being provided with. Computer,
A display means for displaying item values in search items identified from a group of documents to be searched, and
A reception means that accepts the selection of item values displayed by the display means, and
Using the item value for which selection has been accepted by the reception means as a search condition, the document group is made to function as a search means for searching.
A program for displaying the display means by displaying the item value selected by the reception means as a search condition and displaying the time-series transition of the number of posts of the document searched by the search means. An information processing system in which a storage device that stores documents to be searched and an information processing device are communicably connected.
The information processing system is
A display means for displaying item values in search items identified from a group of documents to be searched, and
A reception means that accepts the selection of item values displayed by the display means, and
A search means for searching the document group using the item value for which selection has been accepted by the reception means as a search condition, and a search means.
Equipped with
The display means is an information processing system characterized in that an item value whose selection has been accepted by the reception means is displayed as a search condition, and a time-series transition of the number of posts of a document searched by the search means is displayed. It is an information processing method in an information processing system in which a storage device for storing a document to be searched and an information processing device are communicably connected.
The display means of the information processing system includes a first display step of displaying an item value in a search item, which is specified from a group of documents to be searched.
The reception process in which the reception means of the information processing system accepts the selection of the item value displayed by the display process, and the reception process.
A search process in which the search means of the information processing system searches for the document group using the item value selected by the reception process as a search condition.
A second display step in which the display means of the information processing system displays the item value selected by the reception process as a search condition, and displays the time-series transition of the number of posts of the document searched by the search process. ,
An information processing method characterized by being provided with.

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