CN108628928A - text mining support method and device - Google Patents
text mining support method and device Download PDFInfo
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- CN108628928A CN108628928A CN201810156475.8A CN201810156475A CN108628928A CN 108628928 A CN108628928 A CN 108628928A CN 201810156475 A CN201810156475 A CN 201810156475A CN 108628928 A CN108628928 A CN 108628928A
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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Abstract
A kind of text mining support method and device, when display indicates the scatter diagram of the result of correspondence analysis, support picture of the display comprising scatter diagram with the enlightenment for the view for indicating scatter diagram.When display is with word and the relevant scatter diagram of parameter, from without enlightenment basic picture, contain word near origin judgment method as the 1st support picture of enlightenment, the degree of association for containing the word that feature is assigned to parameter judgment method as enlightenment the 2nd support picture, contain the mutual similar degree of word judgment method as the 3rd support picture of enlightenment and the judgment method that contains the mutual similar degree of parameter as in the 4th support picture enlightened, the picture indicated by display user.The processing that opinion is guided out from the chart of result for indicating correspondence analysis can be efficiently carried out as a result,.
Description
Technical field
The present invention relates to a kind of data mining technologies more particularly to a kind of support text mining (text mining) to hold
Capable text mining support method and device.
Background technology
In recent years, it for data analysis techniques such as a large amount of data application statistics or pattern-recognitions, and is counted from a large amount of
The data mining technology that opinion (rule shown in data etc.) is guided out in is just attracted attention.Using text data as pair
The data mining of elephant is referred to as text mining.Hereinafter, considering to be directed to text data, carry out as a kind of of data analysis technique
The case where correspondence analysis (correspondence analy sis).
In correspondence analysis, for composite table (cross tabulation table), carry out with gauge outfit project and table side
Association between project becomes the processing that maximum mode rearranges projects.The result of correspondence analysis is carried out usually using scattered
Butut (two-dimensional diagram) shows.If for example, carrying out correspondence analysis to composite table shown in Fig. 2, can get shown in Fig. 3
Scatter diagram.
In Japanese Patent Laid-Open 2005-44087 bulletins associated with the present application, record a kind of to utilizing
The Text Mining System of analysis process when person prompts using multiple analysis tools.If being using recorded in the document
System, then the user even with the relevant knowledge of text mining or lack of experience, also can use multiple points with suitable sequence
Analysis tool is analyzed.
Invention content
[problem to be solved by the invention]
In correspondence analysis, compared with finding out scatter diagram, calculated scatter diagram is investigated, and be guided out opinion more
It is important.But the view of scatter diagram is ignorant of with the user of the relevant knowledge of text mining or lack of experience, so even viewing dissipates
What Butut is also ignorant of carrying out first better.Therefore, the user of knowledge or lack of experience can not efficiently carry out from scatter diagram
In be guided out the processing of opinion.
Although recorded system prompts analysis process to user in patent document 1, do not support from analysis result
In be guided out the processing of opinion.It therefore, also can not to solve the problem even with system recorded in patent document 1.
Therefore, the purpose of the present invention is to provide a kind of efficiently to carry out the figure from the result for indicating correspondence analysis
The text mining support method and device of the processing of opinion are guided out in table.
[technical means to solve problem]
In order to reach the purpose, the present invention has feature below.
The 1st embodiment of the present invention is a kind of text mining support method, is shown by the analysis knot obtained by correspondence analysis
Fruit comprising
The step of inputting the analysis result；
The step of inputting the instruction from user；
The step of generating the picture data of the picture comprising the chart for indicating the analysis result；And
According to the picture data, the step of showing picture；And
The step of generation picture data, corresponds to the instruction, generates comprising the chart and the expression chart
The picture data of the support picture of the enlightenment (hint) of view.
The present invention the 2nd embodiment be the present invention the 1st embodiment in,
The step of generation picture data, generates from multiple support pictures and comprising the chart and without the enlightenment
Basic picture among, correspond to the picture data of the selected picture of the instruction.
The present invention the 3rd embodiment be the present invention the 2nd embodiment in,
In the input analysis result the step of, input establishes the 1st project and the 2nd project corresponding as a result, i.e. packet
Described in the result conduct of the 1st ingredient and the 2nd ingredient with the 1st ingredient and the 2nd ingredient of the 2nd project containing the 1st project
Analysis result,
The step of generation picture data, is produced on using the 1st ingredient as horizontal axis, using the 2nd ingredient as vertical
Scatter diagram is as the chart made of drawing to the 1st project and the 2nd project in the plane of axis.
The present invention the 4th embodiment be the present invention the 3rd embodiment in,
The multiple support picture includes the 1st support picture, and the 1st support picture contains in scatter diagram near origin
The 1st project do not have significant feature the meaning as the enlightenment.
The present invention the 5th embodiment be the present invention the 4th embodiment in,
Diagram has the range near origin in scatter diagram contained in the 1st support picture.
The present invention the 6th embodiment be the present invention the 3rd embodiment in,
The multiple support picture includes the 2nd support picture, and the 2nd support picture, which contains, to be located in scatter diagram from original
The 1st project on direction o'clock left away to the 2nd project assigns the meaning of feature as the enlightenment to the 2nd project.
The present invention the 7th embodiment be the present invention the 6th embodiment in,
There is from origin to selected 2nd project diagram in scatter diagram contained in the 2nd support picture leaves away
Direction range.
The present invention the 8th embodiment be the present invention the 3rd embodiment in,
The multiple support picture includes the 3rd supporting picture, and it is close that the 3rd support picture contains in scatter diagram distance
The high meaning of the 1st mutual similar degree of project is as the enlightenment.
The present invention the 9th embodiment be the present invention the 8th embodiment in,
The range near the 1st project being allowed a choice is illustrated in scatter diagram contained in the 3rd support picture.
The present invention the 10th embodiment be the present invention the 3rd embodiment in,
The multiple support picture includes the 4th supporting picture, and it is close that the 4th support picture contains in scatter diagram distance
The high meaning of the 2nd mutual similar degree of project is as the enlightenment.
The present invention the 11st embodiment be the present invention the 10th embodiment in,
Diagram has expression at a distance from selected 2nd project in scatter diagram contained in the 4th support picture
The symbol of the 2nd nearest project.
The present invention the 12nd embodiment be the present invention the 3rd embodiment in,
In the input analysis result the step of, input is to using word as the 1st project, the part of article is made
For the 2nd project, the frequency of occurrences of each word in each section of article is corresponded to as the composite table of data in table
The result of analysis is as the analysis result.
The 13rd embodiment of the present invention is a kind of text mining assisting system, is shown by the analysis knot obtained by correspondence analysis
Fruit comprising
Analysis result input unit, to input the analysis result；
Instruction input unit, to input the instruction from user；
Screen generating part generates the picture data of the picture comprising the chart for indicating the analysis result；And
Analysis result display unit shows picture according to the picture data；And
The screen generating part corresponds to the instruction, generates opening comprising the chart and the view of the expression chart
The picture data of the support picture shown.
The present invention the 14th embodiment be the present invention the 13rd embodiment in,
The screen generating part is generated from multiple support pictures and the basic picture comprising the chart and without the enlightenment
Among face, correspond to the picture data of the selected picture of instruction.
The present invention the 15th embodiment be the present invention the 14th embodiment in,
In the analysis result input unit, the 1st project is established corresponding as a result, including institute by input with the 2nd project
The result of the 1st ingredient of the 1st project and the 1st ingredient and the 2nd ingredient of the 2nd ingredient and the 2nd project is stated as the analysis
As a result,
The screen generating part is produced on using the 1st ingredient as horizontal axis, using the 2nd ingredient as the plane of the longitudinal axis
It is interior draw to the 1st project and the 2nd project made of scatter diagram as the chart.
The present invention the 16th embodiment be the present invention the 15th embodiment in,
In the analysis result input unit, input is to using word as the 1st project, using the part of article as institute
The 2nd project is stated, correspondence analysis is carried out using the frequency of occurrences of each word in each section of article as the composite table of data in table
Result as the analysis result.
[The effect of invention]
According to the 1st embodiment or the 13rd embodiment, the figure for including the result for indicating correspondence analysis can be used in user
The support picture of table and the enlightenment for the view for indicating chart efficiently carries out drawing from the chart of result for indicating correspondence analysis
Export the processing of opinion.
According to the 2nd embodiment or the 14th embodiment, by selectively showing comprising the support picture enlightened and not
Basic picture containing enlightenment can show the horizontal picture corresponding to user.In addition, by selectively showing multiple supports
Picture can prompt user the view of a variety of charts.
According to the 3rd embodiment or the 15th embodiment, user can efficiently carry out from indicating and the 1st project and the
The processing of opinion is guided out in the scatter diagram of the result of the relevant correspondence analysis of 2 projects.
According to the 4th embodiment, user, which may be used in scatter diagram the 1st project near origin, not to be had significantly
This knowledge of feature efficiently carries out the processing that opinion is guided out from the chart of result for indicating correspondence analysis.
According to the 5th embodiment, user may be viewed by illustrated range, and readily appreciate that without significant special
1st project of sign.
According to the 6th embodiment, user may be used at the direction for being located in scatter diagram and leaving away from origin to the 2nd project
On the 1st project to the 2nd project assign feature this-knowledge, efficiently carry out from indicate correspondence analysis result figure
The processing of opinion is guided out in table.
According to the 7th embodiment, user may be viewed by illustrated range, and readily appreciate that the selected 2nd
Project assigns the 1st project of feature.
According to the 8th embodiment, it is high that user may be used at the mutual similar degree of the 1st project that distance is close in scatter diagram
This knowledge efficiently carries out the processing that opinion is guided out from the chart of result for indicating correspondence analysis.
According to the 9th embodiment, user may be viewed by illustrated range, and readily appreciate that and the selected 1st
The 1st high project of the similar degree of project.
According to the 10th embodiment, user may be used at the 2nd mutual similar degree of project that distance is close in scatter diagram
This high knowledge efficiently carries out the processing that opinion is guided out from the chart of result for indicating correspondence analysis.
According to the 11st embodiment, user may be viewed by illustrated symbol, and readily appreciate that and the selected 2nd
Highest 2nd project of similar degree of project.
According to the 12nd embodiment or the 18th embodiment, user can efficiently carry out from expression and word and article
The relevant correspondence analysis in part result scatter diagram in be guided out the processing of opinion.
Object of the present invention, feature, embodiment and effect and other purposes, feature, embodiment and effect are by reference
Attached drawing simultaneously becomes more apparent according to detailed description below.
Description of the drawings
Fig. 1 is the block diagram of the composition for the text mining assisting system for indicating the implementation embodiment of the present invention.
Fig. 2 is the figure for the composite table for indicating the object as correspondence analysis.
Fig. 3 is the figure for indicating the scatter diagram made by the text mining assisting system shown in Fig. 1.
Fig. 4 is the square for the composition for being denoted as the computer that text mining assisting system functions shown in Fig. 1
Figure.
Fig. 5 is the flow chart for indicating the action of text mining assisting system shown in Fig. 1.
Fig. 6 is the figure for indicating the basic picture of text mining assisting system shown in Fig. 1.
Fig. 7 is to indicate that the 1st of text mining assisting system shown in Fig. 1 supports the figure of picture.
Fig. 8 is to indicate that the 2nd of text mining assisting system shown in Fig. 1 supports the figure of picture.
Fig. 9 is to indicate that the 3rd of text mining assisting system shown in Fig. 1 supports the figure of picture.
Figure 10 is to indicate that the 4th of text mining assisting system shown in Fig. 1 supports the figure of picture.
[explanation of symbol]
1：Text data
2：Analysis result
5：Text analyzing device
10：Text mining assisting system
11：Analysis result input unit
12：Instruction input unit
13：Screen generating part
14：Analysis result display unit
20：Computer
21：CPU
22：Main memory
23：Storage part
24：Input unit
25：Display unit
26：Communication unit
27：Record media reading part
28：Keyboard
29：Mouse
30：Record media
31：Text mining support program
100：Basic picture
101：Picture and selecting window
102、112、122、132、142：Scatter diagram window
103：Radio button
110、120、130、140：Support picture
113、123、133：Word inventory window
143：Parameter inventory window
114、124、134、144：Enlighten window
115、135：Circle
125、145：Arrow
126、127：Half line
S101~S112：Step
Specific implementation mode
Hereinafter, with reference to schema to the text mining support method of implementation embodiment of the present invention, text mining assisting system,
And text mining support program illustrates.The text mining support method of this implementation embodiment typically uses computer
It executes.The text mining assisting system of this implementation embodiment is typically constituted using computer.The text of this implementation embodiment
This excavation support program is to use the program of computer-implemented text mining support method.Execute text mining support program
Computer functioned as text mining assisting system.
Fig. 1 is the block diagram of the composition for the text mining assisting system for indicating the implementation embodiment of the present invention.Shown in Fig. 1
Text mining assisting system 10 have analysis result input unit 11, instruction input unit 12, screen generating part 13 and analysis result
Display unit 14.Into text mining assisting system 10, input carries out text data the result of correspondence analysis.Text mining is supported
Device 10 will indicate that the scatter diagram of inputted analysis result includes in picture.
In Fig. 1, the leading portion of text mining assisting system 10 is provided with text analyzing device 5.To text analyzing device 5
Middle input text data 1.In the following description, text data 1 is set as the text with multiple portions (hereinafter referred to as " chapter ")
Chapter data.In addition, also " chapter " is known as " parameter " in the scene for carrying out correspondence analysis.Text analyzing device 5 extracts textual data out
According to the word contained in 1, and make using word as table side project, by Zhang Zuowei gauge outfit projects, by each word in each chapter
Composite table of the frequency of occurrences as data in table.Text analyzing device 5 carries out correspondence analysis to made composite table, and defeated
Go out analysis result 2.If carrying out correspondence analysis, 2 or more ingredients of the feature for indicating process object data are can get.Dividing
It analyses in result 2, includes at least the 1st ingredient and the 2nd ingredient of each word, the 1st ingredient of each parameter and the 2nd ingredient, the 1st ingredient
The contribution rate of contribution rate and the 2nd ingredient.
Fig. 2 is the figure for the composite table for indicating the object as correspondence analysis.Composite table shown in Fig. 2 is by by novel
The article data of " mankind overstep the bounds " is input to as text data 1 and is made in text analyzing device 5.This novel is the small of Japan
Say there is " preamble ", " the first written notes ", " the second written notes ", " third written notes " and " postscript " this 5 chapter, including " oneself ", " people
The words such as class ", " flatfish ", " mood ".Composite table shown in Fig. 2 includes " oneself ", " mankind ", " flatfish ", gas mood "
Equal words include " preamble ", " the first written notes ", " second writes down notes ", " third written notes " and " postscript " this 5 as table side project
Parameter (chapter) is used as gauge outfit project.There is word " mankind " 38 times in " the first written notes ".Corresponding to this, in fig. 2 shown in
In composite table, 38 have been recorded in table side project is " mankind ", gauge outfit project is " the first written notes " column (oblique line portion).Furthermore
In order to suitably carry out correspondence analysis, in fig. 2 shown in only include the list with the frequency of occurrences more than regulation in composite table
Word.
Fig. 3 is indicated by the figure of the scatter diagram made by text mining assisting system 10.As described above, being input to text
It excavates in the analysis result 2 in assisting system 10, the 1 one-tenth of the 1st ingredient and the 2nd ingredient, each parameter including at least each word
Point and the 2nd ingredient, the contribution rate of the 1st ingredient and the contribution rate of the 2nd ingredient.Screen generating part 13 is using the 1st ingredient as cross
Axis draws to word and parameter using the 2nd ingredient as in the plane of the longitudinal axis, thus makes scatter diagram.For example, according to pass
In the analysis result 2 of composite table shown in Fig. 2, scatter diagram shown in Fig. 3 is made.Analysis result display unit 14 is shown
The picture of made scatter diagram.
In figure 3, circle black Ji Zai You Tu on the position of word, records hollow pros on the position of parameter
Shape, word be standard body, and parameter is recorded with italic.The tribute of the contribution rate and the 2nd ingredient of the 1st ingredient is recorded in figure 3
Offer rate.In general, the contribution rate of the 1st ingredient is more than the contribution rate of the 2nd ingredient.In view of this point, 2 point P (p in scatter diagram1、p2)、
Q(q1、q2) between distance d be contribution rate k using the 1st ingredient1With the contribution rate k of the 2nd ingredient2And determine such as following formula (1)
Justice.
D=√ [{ k1(p1-q1)}2+{k2(p2-q2)}2]...(1)
Distance in the following description refers to the distance in the scatter diagram defined in formula (1).Recorded in scatter diagram
The round length for appearing to be the 1st ingredient direction ellipse shorter than the length in the 2nd ingredient direction.
Fig. 4 is the block diagram for the composition for being denoted as the computer that text mining assisting system 10 functions.Institute in Fig. 4
The computer 20 shown has central processing unit (Central Processing Unit, CPU) 21, main memory 22, storage part
23, input unit 24, display unit 25, communication unit 26 and record media reading part 27.In main memory 22, such as use dynamic
Random access memory (Dynamic Random Access Memory, DRAM).In storage part 23, for example, using hard disk or
Solid state drive.In input unit 24, such as include keyboard 28 or mouse 29.In display unit 25, such as use liquid crystal display
Device.Communication unit 26 is the interface circuit (interface circuit) of wire communication or wireless communication.Record media reading part 27
It is the interface circuit for the record media 30 for storing program etc..In record media 30, such as use compact disc read-only memory
(Compact Disc-Read Only Memory, CD-ROM), digital video disk read-only memory (Digital Video
Disc-Read Only Memory, DVD-ROM) etc. non-momentary record media.
When computer 20 executes text mining support program 31, storage part 23 stores text mining support program 31 and divides
Analyse result 2.Text mining support program 31 for example can be to use communication unit 26 from server or other calculating with analysis result 2
Machine institute recipient can also be the reading person from record media 30 of usage record media reading part 27.
When executing text mining support program 31, text mining support program 31 is replicated with analysis result 2 and transfers to
In main memory 22.Main memory 22 is used as operation memory by CPU 21, executes the text being stored in main memory 22
Support program 31 is excavated, thus the analysis result 2 being stored in main memory 22 is handled.At this point, 20 conduct of computer
Text mining assisting system 10 functions.Furthermore the composition of above-described computer 20 only an example can be used and appoint
The computer of meaning constitutes text mining assisting system 10.
With the user with the relevant knowledge of text mining or experience for indicate correspondence analysis result scatter diagram,
With following knowledge.User with knowledge or experience can be used these knowledge and be guided out opinion from scatter diagram.
1st knowledge " word near origin does not have significant feature "
" degree of association of word from origin to parameter and the parameter on the direction left away from is high, to institute for 2nd knowledge
It states parameter and assigns feature "
3rd knowledge " high apart from the close mutual similar degree of word "
4th knowledge " high apart from the close mutual similar degree of parameter "
On the other hand, do not have knowledge as described above with the user of the relevant knowledge of text mining or lack of experience.Cause
This, the user of knowledge or lack of experience can not efficiently carry out the processing that opinion is guided out from scatter diagram.In order to solve
Problem is stated, text mining assisting system 10 not only shows the picture comprising scatter diagram as basic picture, but also right
Instructions of the Ying Yu from user, using the picture comprising scatter diagram and the enlightenment (hint) for the view for indicating scatter diagram as support
Picture is shown.
The action in each portion of text mining assisting system 10 is illustrated referring to Fig.1.Into analysis result input unit 11
Input the analysis result 2 exported from external device (such as text analyzing device 5).It inputs and comes from into instruction input unit 12
The instruction of user.Screen generating part 13 makes the scatter diagram for indicating analysis result 2, and generates the picture of the picture comprising scatter diagram
Face data.Screen generating part 13 corresponds to the instruction from user inputted using instruction input unit 12, selectively gives birth to
At the picture data comprising scatter diagram and the support picture of enlightenment and the picture of the basic picture comprising scatter diagram and without enlightenment
Data.Analysis result display unit 14 shows picture according to the picture data generated by screen generating part 13.Hereinafter, will be by text
Support picture shown by this excavation assisting system 10 is set as 4 kinds, and 4 kinds of support pictures are known as the 1st support picture~4th
Help picture.
Fig. 5 is the flow chart for the action for indicating text mining assisting system 10.First, CPU 21 will be from text analyzing device
The analysis result 2 exported in 5 transfers in main memory 22.Analysis result 2 is inputted into text mining assisting system 10 as a result,
(step S101).Then, CPU 21 makes scatter diagram (step S102) according to analysis result 2.Scatter diagram passes through by the 1 one-tenth
It is allocated as drawing to make to word with parameter using the 2nd ingredient as in the plane of the longitudinal axis for horizontal axis.Then, CPU 21 gives birth to
At the picture data (step S103) of the basic picture comprising scatter diagram made in step S102.Then, 21 bases of CPU
Picture data generated in step S103 makes basic picture be shown in display unit 25 (step S104).
Fig. 6 is the figure for indicating basic picture.Basic picture 100 shown in Fig. 6 includes picture and selecting window 101 and distribution
Figure window 102.The scatter diagram shown in Fig. 3 described in scatter diagram window 102.There are picture and selecting window 101 6 single choices to press
Button 103.Hereinafter, 6 radio buttons 103 are known as the radio button of the 1st radio button~the 6th.The single choice of 1st radio button~the 6th
Button supports that picture~4th supports picture and to terminate foundation corresponding with basic picture, the 1st respectively.When display basic picture 100
When, user's operation keyboard 28 or mouse 29 press any of radio button of the 1st radio button~the 6th.It inputs as a result,
Instruction from user.
CPU 21 receives the instruction (step S105) from user inputted using picture and selecting window 101.Then,
CPU 21 corresponds to the instruction from user, enters to any one step (step S106) below.When from user's
When being designated as " basic picture " (when the 1st radio button is pressed), CPU 21 enters to step S107.In the case, CPU
21 are equally generated the picture data (step S107) of basic picture with step S103.When being designated as " the 1st from user
Help picture " when (when the 2nd radio button is pressed), CPU 21 enters to step S108.In the case, CPU 21 generates the 1st
Support the picture data (step S108) of picture.When (the 3rd radio button when being designated as " the 2nd supports picture " from user
When being pressed), CPU 21 enters to step S109.In the case, CPU 21 generates the 2nd picture data (step for supporting picture
Rapid S109).When being designated as from user " the 3rd supports picture " (when the 4th radio button is pressed), CPU 21 is entered to
Step S110.In the case, CPU 21 generates the 3rd picture data (step S110) for supporting picture.When from user's
When being designated as " the 4th support picture " (when the 5th radio button is pressed), CPU 21 enters to step S111.In the case,
CPU 21 generates the 4th picture data (step S111) for supporting picture.When from user, (the 6th is single when being designated as " terminating "
When button being selected to be pressed), CPU 21 is ended processing.
After any one of the execution steps of CPU 21 S107~step S111, step S112 is entered to.Then, 21 bases of CPU
Picture data generated in any one of step S107~step S111, makes picture be shown in (step in display unit 25
S112).Then, CPU 21 enters to step S105.In this way, text mining assisting system 10 corresponds to the finger from user
Show, shows and support the picture that picture~4th is supported in picture selected from basic picture and the 1st.
Furthermore step shown in the inscape of computer 20 and Fig. 5 shown in Fig. 4 and text shown in Fig. 1
The inscape for excavating assisting system 10 is corresponded to as following.The CPU 21 for executing step S101 is inputted as analysis result
Portion 11 functions.Input unit 24 and the CPU 21 for executing step S105 are functioned as instruction input unit 12.Execute step
S102~step S103, step S106~step S111 CPU 21 function as screen generating part 13.Display unit 25 and
Execute step S104, the CPU 21 of step S112 is functioned as analysis result display unit 14.
Fig. 7 is the figure for indicating the 1st support picture.Shown in fig. 7 1st, which supports picture 110, includes picture and selecting window
101, scatter diagram window 112, word inventory window 113 and enlightenment window (hint window) 114.1st support picture 110 with
1st knowledge " word near origin does not have significant feature " is related.User may be viewed by the 1st support picture 110, use
1st knowledge efficiently carries out the processing that opinion is guided out from scatter diagram.
Before picture 110 is supported in display the 1st, user's operation keyboard 28 or mouse 29 are specified to be judged as near origin
Range.It is judged as that the initial value of the range near origin can also be determined in advance.The institute in Fig. 3 described in scatter diagram window 112
The scatter diagram shown.The circle 115 near origin is indicated described in scatter diagram in scatter diagram window 112 (appearance is ellipse).Circle
115 are preferably recorded with the color different from scatter diagram (such as red).In this way, supporting dissipating contained in picture 110 the 1st
In Butut, the range near origin is illustrated using circle 115.Therefore, user may be viewed by illustrated range, and easily know
Road does not have the word of significant feature.
Described in word inventory window 113 by near origin word (circle 115 in word) and the word
With at a distance from origin press distance from closely to remote tactic word inventory.Upward triangle in word inventory window 113
Shape is indicated by distance from being closely ranked sequentially to remote.In enlightening window 114, " main points of analysis " this title is added to record
1st knowledge.The configuration of window 114 is enlightened on the position Chong Die with scatter diagram window 112.
The size of circle 115 is determined by arbitrary method.For example, can be by using contained in person specified round 115
The number (such as 10) of word come determine circle 115 size.Alternatively, can also be by using contained in person specified round 115
Word ratio (such as whole 10%) come determine circle 115 size.Alternatively, mouse 29 can also be used by using person
The size that circle 115 is determined at a distance from origin is specified in the 1st support picture 110.
The 1st supports in picture 110 shown in the figure 7, word near origin (word in circle 115) with other lists
Word identical embodiment is shown.Alternatively, can also be supported in picture the 1st, with the embodiment different from other words
(such as with weak color) shows the word near origin, can not also show the word near origin.The 2nd support picture~
4th support picture in, can be also shown in the embodiment different from other words the 1st support picture in with other words not
The word that same embodiment is shown can not also be shown in not shown word in the 1st support picture.
Fig. 8 is the figure for indicating the 2nd support picture.Shown in fig. 8 2nd, which supports picture 120, includes picture and selecting window
101, scatter diagram window 122, word inventory window 123 and enlightenment window 124.2nd supports picture 120 and the 2nd knowledge " position
It is high in the degree of association of word from origin to parameter and the parameter on the direction left away from, assign feature to the parameter " related.
User may be viewed by the 2nd support picture 120, efficiently carry out being guided out from opinion from scatter diagram using the 2nd knowledge
Reason.
Before picture 120 is supported in display the 2nd, user's operation keyboard 28 or mouse 29 select 1 parameter (chapter).Herein,
The case where to having selected parameter " preamble ", illustrates.The scatter diagram shown in Fig. 3 described in scatter diagram window 122.It is dissipating
In scatter diagram in Butut window 122, the arrow 125 as starting point and across selected parameter using origin is recorded, and with origin
For starting point, 2 half lines 126, the half line 127 at the angle of predetermined angular (such as 10 °) are formed between arrow 125.By
In the region that half line 126, half line 127 sandwich, there is the list on the direction left away from origin to selected parameter
Word.In this way, in the scatter diagram for supporting contained in picture 120 the 2nd, the model in the direction left away from origin to selected parameter
It encloses and is illustrated using half line 126, half line 127.Therefore, user may be viewed by illustrated range, readily appreciate that institute
The parameter of selection assigns the word of feature.
In word inventory window 123, record the word on the direction left away from origin to selected parameter
(word in region sandwiched by half line 126, half line 127) and the word at a distance from origin by distance from as far as
Close tactic word inventory.Downward triangle in word inventory window 123 is indicated by distance from suitable as far as close
Sequence arranges.It is associated with the 2nd knowledge in word inventory window 123, it records and " can determine whether to be remoter at a distance from origin, close
Connection degree is higher ".In enlightening window 124, " main points of analysis " this title is added to record the 2nd knowledge.Enlighten window 124
Configuration is on the position Chong Die with scatter diagram window 122.
As long as arrow 125 is included in half line 126, half line 127 in identical quadrant, then arrow 125 and half line
126, half line 127 is formed by the angle at angle and can be determined by arbitrary method.It is recorded with angle when providing arrow 125
When half line 126, half line 127, the situation in the quadrant different from arrow 125 is included in half line 126, half line 127
Under, half line 126, half line 127 are documented on the 1 one-tenth split axle or the 2 one-tenth split axles.Arrow 125 preferably with scatter diagram not
With color (such as red) record.Half line 126, half line 127 are preferably with the color different from scatter diagram and arrow 125
(such as blue) records.
Fig. 9 is the figure for indicating the 3rd support picture.The 3rd support picture 130 includes picture and selecting window shown in Fig. 9
101, scatter diagram window 132, word inventory window 133 and enlightenment window 134.3rd support picture 130 and the 3rd knowledge " away from
It is high from the close mutual similar degree of word " it is related.User may be viewed by the 3rd support picture 130, use the 3rd knowledge effective percentage
Ground carries out the processing that opinion is guided out from scatter diagram.
Before picture 130 is supported in display the 3rd, user's operation keyboard 28 or mouse 29 select 1 word, and specified judgement
For the range near selected word.Herein, to having selected word " eye " the case where, illustrates.In scatter diagram window
Scatter diagram shown in Fig. 3 described in 132.Selected word is indicated described in scatter diagram in scatter diagram window 132
Neighbouring circle 135 (appearance is ellipse).Circle 135 is preferably recorded with the color different from scatter diagram (such as red).In this way,
3rd supports in the scatter diagram contained in picture 130, and the range near selected word is illustrated using circle 135.Cause
This, user may be viewed by illustrated range, readily appreciate that the word high with the similar degree of selected word.
Described in word inventory window 133 by near selected word word (circle 135 in word),
And the word presses distance from closely to remote tactic word inventory at a distance from specified word.In word inventory window
In mouth 133, records " can determine whether that similar degree is higher to be closer at a distance from word " and be used as the 3rd knowledge.In this instance, with institute
The word that the distance of the word " eye " of selection is nearest is " face ".Therefore, with the highest list of similar degree of selected word " eye "
Word is " face ".In enlightening window 134, " main points of analysis " this title is added to record the meaning.Enlightenment window 134 is matched
It sets on the position Chong Die with scatter diagram window 132.
In the same manner as the size that the size of circle 135 supports the circle 115 in picture 110 with the 1st, determined by arbitrary method
It is fixed.For example, user is by specifying the method for the number of the word contained in circle 135, specifying the word contained in circle 135
Method, the specified method with selected word at a distance from of ratio etc. determine to justify 135 size.
Figure 10 is the figure for indicating the 4th support picture.The 4th support picture 140 includes picture and selecting window shown in Figure 10
101, scatter diagram window 142, parameter inventory window 143 and enlightenment window 144.4th support picture 140 and the 4th knowledge " away from
It is high from the close mutual similar degree of parameter " it is related.User may be viewed by the 4th support picture 140, use the 4th knowledge effective percentage
Ground carries out the processing that opinion is guided out from scatter diagram.
Before picture 140 is supported in display the 4th, user's operation keyboard 28 or mouse 29 select 1 parameter.Herein, to choosing
The case where selecting parameter " preamble " illustrates.The scatter diagram shown in Fig. 3 described in scatter diagram window 142.In scatter diagram window
It in scatter diagram in mouthfuls 142, records using selected parameter as starting point, and by nearest change at a distance from selected parameter
Arrow 145 of the number as terminal.Arrow 145 is preferably recorded with the color different from scatter diagram (such as red).In this way,
4 support in the scatter diagram contained in picture 140, it is illustrated that have the arrow for indicating parameter nearest at a distance from selected parameter
145.Therefore, user may be viewed by illustrated arrow 145, readily appreciate that and the highest change of the similar degree of selected parameter
Number.
Parameter inventory window 143 is recorded presses distance by closer parameter at a distance from selected parameter and the distance
From closely to remote tactic parameter inventory.In parameter inventory window 143, record " can determine whether to be got at a distance from parameter
Closely, similar degree is higher " it is used as the 4th knowledge.In this instance, parameter nearest at a distance from selected parameter " preamble " is
" postscript ".Therefore, it is " postscript " with the highest parameter of similar degree of selected parameter " preamble ".It is attached in enlightening window 144
" main points of analysis " this title is added to record the meaning.The configuration of window 144 is enlightened in the position Chong Die with scatter diagram window 142
It sets.
Furthermore text mining assisting system 10 can also show the above-described offscreen support picture of support.Branch
As long as helping the enlightenment that picture includes scatter diagram and the view for indicating scatter diagram, then it may include arbitrary content.Enlightenment can be bright
Indicate scatter diagram view person with showing can also be the view person for implying scatter diagram.Enlightenment can also be included in and support picture
In any portion.Enlightenment can be documented in and in the window of scatter diagram windows overlay, can also be documented in scatter diagram window not
In the window of overlapping, position can also be documented in and obtained in fixed message box (message box).
As shown above, the text mining support method of this implementation embodiment includes：The step of inputting analysis result 2；It is defeated
The step of entering the instruction from user；Generate the picture data of the picture comprising the chart (scatter diagram) for indicating analysis result 2
The step of；And according to picture data, the step of showing picture.The step of generating picture data corresponds to instruction, and generation includes
The picture data of chart and the support picture of the enlightenment for the view for indicating chart.Therefore, user can be used corresponds to comprising expression
The support picture of the chart of the result of analysis and the enlightenment for the view for indicating chart is efficiently carried out from expression correspondence analysis
As a result the processing of opinion is guided out in chart.
The step of generating picture data generates that (the 1st supports picture 110, the 2nd support picture 120, the from multiple supports pictures
3, which support picture the 130, the 4th, supports picture 140) among the basic picture 100 comprising chart and without enlightenment, correspond to instruction
The picture data of selected picture.In this way, selectively display supports picture and the basic picture without enlightenment comprising enlightenment
Thus face can show the horizontal picture corresponding to user.In addition, by selectively showing multiple support pictures, it can be right
User prompts the view of a variety of charts.
In the step of inputting analysis result, the 1st project (word) is established corresponding knot by input with the 2nd project (parameter)
Fruit, the i.e. result of the 1st ingredient comprising the 1st project and the 1st ingredient and the 2nd ingredient of the 2nd ingredient and the 2nd project are tied as analysis
Fruit 2；The step of generating picture data is produced on using the 1st ingredient as horizontal axis, using the 2nd ingredient as in the plane of the longitudinal axis to the 1st
Scatter diagram is as chart made of project is drawn with the 2nd project.Therefore, user can efficiently carry out from indicating and the
1 project and the processing that opinion is guided out in the scatter diagram of the result of the 2nd relevant correspondence analysis of project.
Multiple support pictures include：1st supports picture 110, does not have containing the 1st project in scatter diagram near origin
The meaning of significant feature is as enlightenment；2nd supports picture 120, leaves away containing being located at from origin to the 2nd project in scatter diagram
Direction on the 1st project to the 2nd project assign feature the meaning as enlightenment；3rd supports picture 130, containing scattered
The high meaning of the 1st close mutual similar degree of project of distance is as enlightenment in Butut；And the 4th support picture 140, containing dissipate
The high meaning of the 2nd close mutual similar degree of project of distance is as enlightenment in Butut.Therefore, each support picture can be used in user
Contained in enlightenment, efficiently carry out being guided out the processing of opinion from the chart of result for indicating correspondence analysis.
In the scatter diagram that the 1st supports contained in picture 110, the range near origin is illustrated using circle 115.
2 support in the scatter diagram contained in picture 120, and the range in the direction left away from origin to selected 2nd project uses half
Straight line 126, half line 127 illustrate.In the scatter diagram that the 3rd supports contained in picture 130, selected 1st project is attached
Close range is illustrated using circle 135.The 4th support picture 140 contained in scatter diagram in, it is illustrated that have expression with it is selected
The 2nd project the 2nd nearest project of distance symbol (arrow 145).Therefore, user may be viewed by being schemed in each support picture
The range or symbol shown readily appreciate that the 1st project without significant feature, assign feature to selected 2nd project
The 1st project, 1st project high with the similar degree of selected 1st project and high with the similar degree of selected 2nd project
The 2nd project.
In the step of inputting analysis result, input is to using word as the 1st project, using the part of article as the 2nd
Mesh, the result that correspondence analysis is carried out using the frequency of occurrences of each word in each section of article as the composite table of data in table are made
For analysis result.Therefore, user can efficiently carry out from expression and the relevant correspondence analysis in part of word and article
As a result the processing of opinion is guided out in scatter diagram.
The text mining assisting system 10 of this implementation embodiment and the text mining support program 31 of this implementation embodiment have
There is feature identical with the text mining support method of this implementation embodiment, and obtains identical effect.
Furthermore in the above description, the display of text mining assisting system 10 two-dimensionally indicates the result of correspondence analysis
Scatter diagram.It's not limited to that, the present invention can also be applied to display multidimensional indicate correspondence analysis result chart (such as
Three-dimensional chart) text mining support method and device.In addition, with display indicate for the relevant composite table of text data
The text mining support method and device of the scatter diagram of the result of correspondence analysis similarly, may make up display indicate for text
The chart (scatter diagram or three-dimensional chart etc.) of the result of the correspondence analysis of the relevant composite table of arbitrary data other than data
Data mining support method and device.
Text mining support method and device according to the present invention include the figure for the result for indicating correspondence analysis by showing
The support picture of table and the enlightenment for the view for indicating chart, user can efficiently carry out from the result for indicating correspondence analysis
The processing of opinion is guided out in chart.
It describes the invention in detail above, but above explanation is to illustrate rather than limited in all respects
Person.It is interpreted as not departing from the scope of the present invention and finding out many other changes or deformation.
Claims (16)
1. a kind of text mining support method is the text mining support party shown by the analysis result obtained by correspondence analysis
Method, it is characterised in that：Including
The step of inputting the analysis result；
The step of inputting the instruction from user；
The step of generating the picture data of the picture comprising the chart for indicating the analysis result；And
According to the picture data, the step of showing picture；And
The step of generation picture data, corresponds to the instruction, generates comprising the chart and the view for indicating the chart
Enlightenment support picture picture data.
2. text mining support method according to claim 1, it is characterised in that：The step of generation picture data, gives birth to
, among the basic picture comprising the chart and without the enlightenment, correspond to selected by the instruction at from multiple support pictures
The picture data for the picture selected.
3. text mining support method according to claim 2, it is characterised in that：The input analysis result the step of
In, input by the 1st project and the 2nd project establish it is corresponding as a result, i.e. the 1st ingredient comprising the 1st project and the 2nd ingredient and
1st ingredient of the 2nd project and the result of the 2nd ingredient as the analysis result,
The step of generation picture data, is produced on using the 1st ingredient as horizontal axis, using the 2nd ingredient as the longitudinal axis
Scatter diagram is as the chart made of drawing to the 1st project and the 2nd project in plane.
4. text mining support method according to claim 3, it is characterised in that：The multiple support picture includes the 1st
Picture is supported, the 1st support picture contains the meaning that the 1st project in scatter diagram near origin does not have significant feature
As the enlightenment.
5. text mining support method according to claim 4, it is characterised in that：It is supported the described 1st contained in picture
Diagram has the range near origin in some scatter diagrams.
6. text mining support method according to claim 3, it is characterised in that：The multiple support picture includes the 2nd
Picture is supported, the 2nd support picture contains the 1st on the direction for being located in scatter diagram and leaving away from origin to the 2nd project
Mesh assigns the meaning of feature as the enlightenment to the 2nd project.
7. text mining support method according to claim 6, it is characterised in that：It is supported the described 2nd contained in picture
Diagram has the range in the direction left away from origin to selected 2nd project in some scatter diagrams.
8. text mining support method according to claim 3, it is characterised in that：The multiple support picture includes the 3rd
Picture is supported, the 3rd support picture contains the meaning conduct that the 1st mutual similar degree of project of distance closely is high in scatter diagram
The enlightenment.
9. text mining support method according to claim 8, it is characterised in that：It is supported the described 3rd contained in picture
The range near the 1st project being allowed a choice is illustrated in some scatter diagrams.
10. text mining support method according to claim 3, it is characterised in that：The multiple support picture includes the 4th
Picture is supported, the 4th support picture contains the meaning conduct that the 2nd mutual similar degree of project of distance closely is high in scatter diagram
The enlightenment.
11. text mining support method according to claim 10, it is characterised in that：Institute in picture is supported the described 4th
Diagram has the symbol for the 2nd project for indicating nearest at a distance from selected 2nd project in the scatter diagram contained.
12. text mining support method according to claim 3, it is characterised in that：In the step of the input analysis result
In rapid, input is to will be in each section of article using the part of article as the 2nd project using word as the 1st project
Each word the frequency of occurrences as in table data composite table carry out correspondence analysis result as the analysis result.
13. a kind of text mining assisting system is to show to support dress by the text mining of the analysis result obtained by correspondence analysis
It sets, it is characterised in that：Including
Analysis result input unit, to input the analysis result；
Instruction input unit, to input the instruction from user；
Screen generating part generates the picture data of the picture comprising the chart for indicating the analysis result；And
Analysis result display unit shows picture according to the picture data；And
The screen generating part corresponds to the instruction, generates comprising the chart and the enlightenment for the view for indicating the chart
Support the picture data of picture.
14. text mining assisting system according to claim 13, it is characterised in that：The screen generating part is generated from more
It is a to support picture and among the basic picture comprising the chart and without the enlightenment, correspond to the selected picture of instruction
The picture data in face.
15. text mining assisting system according to claim 14, it is characterised in that：In the analysis result input unit
In, input by the 1st project and the 2nd project establish it is corresponding as a result, i.e. the 1st ingredient comprising the 1st project and the 2nd ingredient and
1st ingredient of the 2nd project and the result of the 2nd ingredient as the analysis result,
The screen generating part is produced on using the 1st ingredient as horizontal axis, using the 2nd ingredient as right in the plane of the longitudinal axis
Scatter diagram is as the chart made of 1st project is drawn with the 2nd project.
16. text mining assisting system according to claim 15, it is characterised in that：In the analysis result input unit
In, input is to will be in each section of article using the part of article as the 2nd project using word as the 1st project
The frequency of occurrences of each word carries out the result of correspondence analysis as the analysis result as the composite table of data in table.
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| KR102230102B1 (en) | 2021-03-18 |
| CN108628928B (en) | 2021-12-07 |
| JP6829117B2 (en) | 2021-02-10 |
| TWI692696B (en) | 2020-05-01 |
| TW201835790A (en) | 2018-10-01 |
| JP2018152023A (en) | 2018-09-27 |
| KR20180105566A (en) | 2018-09-28 |
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