Text Mining George Mason University speech by Obama
Kushan De Silva
August 21, 2017
#Text processing
path <- "Obama speech.txt"
library(tm)## Loading required package: NLPtext <- readLines(path,encoding="UTF-8")
vs <- VectorSource(text)
elem <- getElem(stepNext(vs))
result <- readPlain(elem, "en", "id1")
txt <- Corpus(vs)Corpus formation Converting to lower case
txtlc <- tm_map(txt, tolower)
inspect(txt[1])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] Let me begin by thanking George Mason University for their extraordinary hospitality and to thank all the great friends, the governors, the mayors who are in attendance here today.inspect(txtlc[1])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] let me begin by thanking george mason university for their extraordinary hospitality and to thank all the great friends, the governors, the mayors who are in attendance here today.Removing punctuation
txtnp <- tm_map(txt, removePunctuation)
inspect(txt[1])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] Let me begin by thanking George Mason University for their extraordinary hospitality and to thank all the great friends, the governors, the mayors who are in attendance here today.inspect(txtnp[1])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] Let me begin by thanking George Mason University for their extraordinary hospitality and to thank all the great friends the governors the mayors who are in attendance here todayRemoving numbers
txtnn <- tm_map(txt, removeNumbers)
inspect(txt[9])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] There is no doubt that the cost of this plan will be considerable. It will certainly add to the budget deficit in the short term. But equally certain are the consequences of doing too little or nothing at all, for that will lead to an even greater deficit of jobs, incomes, and confidence in our economy.inspect(txtnn[9])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] There is no doubt that the cost of this plan will be considerable. It will certainly add to the budget deficit in the short term. But equally certain are the consequences of doing too little or nothing at all, for that will lead to an even greater deficit of jobs, incomes, and confidence in our economy.Removing words
txtns <- tm_map(txt[1], removeWords, stopwords("english"))
inspect(txtns)## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] Let begin thanking George Mason University extraordinary hospitality thank great friends, governors, mayors attendance today.inspect(txt[1])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] Let me begin by thanking George Mason University for their extraordinary hospitality and to thank all the great friends, the governors, the mayors who are in attendance here today.Removing whitespaces
txtnw <- tm_map(txt[10], stripWhitespace)
inspect(txtnw)## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] It is true that we cannot depend on government alone to create jobs or long-term growth. But at this particular moment, only government can provide the short-term boost necessary to lift us from a recession this deep and severe. Only government can break the cycle that are [sic] crippling our economy, where a lack of spending leads to lost jobs, which leads to even less spending, where an inability to lend and borrow stops growth and leads to even less credit. That's why we need to act boldly and act now to reverse these cycles. That's why we need to put money in the pockets of the American people, create new jobs, and invest in our future. That's why we need to restart the flow of credit and restore the rules of the road that will ensure a crisis like this never happens again.inspect(txt[10])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] It is true that we cannot depend on government alone to create jobs or long-term growth. But at this particular moment, only government can provide the short-term boost necessary to lift us from a recession this deep and severe. Only government can break the cycle that are [sic] crippling our economy, where a lack of spending leads to lost jobs, which leads to even less spending, where an inability to lend and borrow stops growth and leads to even less credit. That's why we need to act boldly and act now to reverse these cycles. That's why we need to put money in the pockets of the American people, create new jobs, and invest in our future. That's why we need to restart the flow of credit and restore the rules of the road that will ensure a crisis like this never happens again.Word stems
inspect(txt[27])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] More than any program or policy, it is this spirit that will enable us to confront these challenges with the same spirit that has led previous generations to face down war, and depression, and fear itself. And if we do, if we are able to summon that spirit again, if we are able to look out for one another, and listen to one another, and do our part for our nation and for posterity, then I have no doubt that years from now, we will look back on 2009 as one of those years that marked another new and hopeful beginning for the United States of America.txtstem <- tm_map(txt, stemDocument)
inspect(txtstem[27])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## [1] More than ani program or policy, it is this spirit that will enabl us to confront these challeng with the same spirit that has led previous generat to face down war, and depression, and fear itself. And if we do, if we are abl to summon that spirit again, if we are abl to look out for one another, and listen to one another, and do our part for our nation and for posterity, then I have no doubt that year from now, we will look back on 2009 as one of those year that mark anoth new and hope begin for the Unite State of America.txtcomplete <- tm_map(txtstem, stemCompletion, dictionary=txt)
inspect(txtcomplete[27])## <<SimpleCorpus>>
## Metadata: corpus specific: 1, document level (indexed): 0
## Content: documents: 1
##
## More than ani program or policy, it is this spirit that will enabl us to confront these challeng with the same spirit that has led previous generat to face down war, and depression, and fear itself. And if we do, if we are abl to summon that spirit again, if we are abl to look out for one another, and listen to one another, and do our part for our nation and for posterity, then I have no doubt that year from now, we will look back on 2009 as one of those year that mark anoth new and hope begin for the Unite State of America.
## Document term matrix
dtm <- DocumentTermMatrix(txt)
dtm## <<DocumentTermMatrix (documents: 29, terms: 809)>>
## Non-/sparse entries: 1618/21843
## Sparsity : 93%
## Maximal term length: 16
## Weighting : term frequency (tf)txt <- tm_map(txt, removeWords, stopwords("English"))
dtm2 <- removeSparseTerms(dtm, 0.94)
inspect(dtm2)## <<DocumentTermMatrix (documents: 29, terms: 287)>>
## Non-/sparse entries: 1096/7227
## Sparsity : 87%
## Maximal term length: 14
## Weighting : term frequency (tf)
## Sample :
## Terms
## Docs and are for jobs new our that the this will
## 10 6 1 0 3 1 2 6 7 3 1
## 11 6 2 0 3 1 1 5 9 3 3
## 16 6 0 1 0 4 3 5 4 1 3
## 17 8 1 0 1 1 1 1 5 3 4
## 20 4 1 2 0 1 6 6 4 2 0
## 21 8 0 2 0 0 3 8 8 2 1
## 3 4 2 1 3 0 1 2 4 0 1
## 4 3 1 4 1 0 4 1 6 1 1
## 7 7 5 1 0 0 6 8 8 2 1
## 8 5 0 3 0 4 1 5 2 2 1findAssocs(dtm, "work", 0.15)## $work
## few 21st century country plan
## 0.78 0.59 0.59 0.59 0.56
## over weeks old team infrastructure
## 0.55 0.55 0.55 0.55 0.55
## keep sense around begins confident
## 0.55 0.55 0.54 0.54 0.54
## created firefighters least majority millions
## 0.54 0.54 0.54 0.54 0.54
## officers others overwhelming paradox priorities
## 0.54 0.54 0.54 0.54 0.54
## private recognizes sector strong trying
## 0.54 0.54 0.54 0.54 0.54
## vital asking asks battles calling
## 0.54 0.54 0.54 0.54 0.54
## common democrats each hard ideological
## 0.54 0.54 0.54 0.54 0.54
## independents inherit insist isn night
## 0.54 0.54 0.54 0.54 0.54
## partisanship passed purpose question republicans
## 0.54 0.54 0.54 0.54 0.54
## rewarded weekends why americans good
## 0.54 0.54 0.52 0.51 0.48
## and both necessary the what
## 0.47 0.46 0.46 0.45 0.44
## public build with all responsibility
## 0.44 0.44 0.43 0.39 0.39
## put while begin next just
## 0.39 0.39 0.38 0.38 0.38
## save that million time must
## 0.38 0.37 0.37 0.35 0.33
## much jobs pay done promise
## 0.32 0.32 0.32 0.32 0.32
## fact education find police program
## 0.32 0.32 0.32 0.32 0.32
## services teachers three works well
## 0.32 0.32 0.32 0.32 0.32
## entire protect first above narrow
## 0.32 0.32 0.32 0.32 0.32
## ahead same new there means
## 0.32 0.30 0.29 0.27 0.27
## businesses come anxious deepened disappear
## 0.24 0.22 0.22 0.22 0.22
## friday had hit last learn
## 0.22 0.22 0.22 0.22 0.22
## life lifetime low manufacturing midst
## 0.22 0.22 0.22 0.22 0.22
## mortgage nearly payroll settle since
## 0.22 0.22 0.22 0.22 0.22
## two uncertain unlike want year
## 0.22 0.22 0.22 0.22 0.22
## anything culture end goes habits
## 0.22 0.22 0.22 0.22 0.22
## hope immediately job jump meeting
## 0.22 0.22 0.22 0.22 0.22
## moved represents trade ways whole
## 0.22 0.22 0.22 0.22 0.22
## bargain building cars cleaner constructing
## 0.22 0.22 0.22 0.22 0.22
## developing efficient fuel outsourced panels
## 0.22 0.22 0.22 0.22 0.22
## planet process safer solar technologies
## 0.22 0.22 0.22 0.22 0.22
## turbines wind across anywhere attack
## 0.22 0.22 0.22 0.22 0.22
## backlog blackout breakthroughs bridges broadband
## 0.22 0.22 0.22 0.22 0.22
## connect corner counterparts crumbling deliver
## 0.22 0.22 0.22 0.22 0.22
## discoveries electricity eliminating expanding forms
## 0.22 0.22 0.22 0.22 0.22
## global grid industries investing lines
## 0.22 0.22 0.22 0.22 0.22
## needed planned repairing research retrofit
## 0.22 0.22 0.22 0.22 0.22
## roads rural science small sources
## 0.22 0.22 0.22 0.22 0.22
## starting town updating way yes
## 0.22 0.22 0.22 0.22 0.22
## address arsenal catastrophic clear collapse
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## company endanger failure firms flowing
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## foreclosure greed institutions investors launching
## 0.22 0.22 0.22 0.22 0.22
## maximum outdated preventing protections reckless
## 0.22 0.22 0.22 0.22 0.22
## reforming repair responsible restoring restrictions
## 0.22 0.22 0.22 0.22 0.22
## shocks significant stabilize support sweeping
## 0.22 0.22 0.22 0.22 0.22
## taking tools understanding using weak
## 0.22 0.22 0.22 0.22 0.22
## whose withstand get again today
## 0.22 0.22 0.21 0.21 0.20
## once full savings start competitive
## 0.20 0.20 0.20 0.20 0.20
## which moment like also who
## 0.20 0.20 0.20 0.20 0.18
## any crisis will better financial
## 0.18 0.18 0.18 0.18 0.18
## even many system
## 0.18 0.16 0.15Text clusters
library(stats)
mymeans <- kmeans(dtm,5)
mymeans## K-means clustering with 5 clusters of sizes 1, 4, 2, 18, 4
##
## Cluster means:
## all and are attendance begin extraordinary for
## 1 0.0000000 4.000000 2.0000000 0.00000000 0.0000000 0.00000000 1.000000
## 2 0.0000000 5.500000 0.7500000 0.00000000 0.5000000 0.00000000 2.500000
## 3 1.0000000 7.500000 2.5000000 0.00000000 0.0000000 0.50000000 1.500000
## 4 0.2222222 2.611111 0.3333333 0.05555556 0.1111111 0.05555556 1.055556
## 5 0.5000000 6.750000 1.2500000 0.00000000 0.2500000 0.00000000 0.500000
## friends george governors great here hospitality
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.50000000 0.0000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## let mason mayors thank thanking the their
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 4.000000 3.0000000
## 2 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 3.000000 0.2500000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 8.000000 0.5000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556 2.888889 0.3333333
## 5 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 7.000000 0.2500000
## today university who along america been
## 1 0.00000000 0.00000000 1.00000000 0.00000000 0.0000000 1.0000000
## 2 0.25000000 0.00000000 0.00000000 0.00000000 1.2500000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.2222222 0.2222222
## 5 0.25000000 0.00000000 0.75000000 0.00000000 0.0000000 0.0000000
## break clean come course fanfare from generation
## 1 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000 0.0000000
## 2 0.00000000 0.2500000 0.0000000 0.2500000 0.00000000 0.7500000 0.0000000
## 3 0.00000000 0.0000000 0.5000000 0.0000000 0.00000000 0.5000000 0.0000000
## 4 0.05555556 0.1111111 0.1666667 0.1666667 0.05555556 0.1111111 0.1111111
## 5 0.25000000 0.0000000 0.2500000 0.0000000 0.00000000 0.2500000 0.0000000
## have history into kind mark much nation
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## 2 1.2500000 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.7500000
## 3 0.0000000 0.5000000 0.5000000 0.00000000 0.00000000 0.00000000 0.5000000
## 4 0.1666667 0.1111111 0.2222222 0.05555556 0.05555556 0.05555556 0.2222222
## 5 0.5000000 0.0000000 0.0000000 0.00000000 0.00000000 0.25000000 0.0000000
## new next notice once one our past
## 1 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 1.000000 1.0000000
## 2 2.5000000 0.0000000 0.00000000 0.0000000 0.75000000 3.000000 0.0000000
## 3 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 4.500000 0.5000000
## 4 0.3888889 0.1111111 0.05555556 0.1111111 0.05555556 1.333333 0.1111111
## 5 0.7500000 0.7500000 0.00000000 0.2500000 0.00000000 1.000000 0.0000000
## rolled set simply some that then there
## 1 0.00000000 0.0000000 0.0000000 0.0000000 2.000000 0.00000000 0.0000000
## 2 0.00000000 0.2500000 0.0000000 0.0000000 5.250000 0.25000000 0.0000000
## 3 0.00000000 0.0000000 0.0000000 0.0000000 8.000000 0.00000000 0.0000000
## 4 0.05555556 0.1111111 0.1111111 0.2777778 1.444444 0.05555556 0.1666667
## 5 0.00000000 0.0000000 0.0000000 0.0000000 4.000000 0.00000000 0.5000000
## this those throughout troubled without years 2009
## 1 0.0000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000 1.00
## 2 1.5000000 0.50000000 0.00000000 0.00000000 0.0000000 0.5000000 0.25
## 3 2.0000000 0.00000000 0.00000000 0.00000000 0.0000000 0.5000000 0.00
## 4 0.6111111 0.05555556 0.05555556 0.05555556 0.2222222 0.3888889 0.00
## 5 2.2500000 0.00000000 0.00000000 0.00000000 0.0000000 0.2500000 0.00
## americans another anxious any bills borrow both businesses cannot
## 1 2.0000000 1.00 1 2.00 1.00000000 1.00 1.00 1.00 2.00
## 2 0.0000000 0.75 0 0.25 0.00000000 0.00 0.50 0.25 0.25
## 3 0.0000000 0.00 0 1.00 0.00000000 0.00 0.00 1.00 0.00
## 4 0.1666667 0.00 0 0.00 0.05555556 0.00 0.00 0.00 0.00
## 5 0.7500000 0.25 0 0.00 0.00000000 0.25 0.25 0.00 0.25
## crisis deepened disappear families few friday full future
## 1 2.0000000 1 1 1.00000000 1.0 1 1.00000000 1.0000000
## 2 0.2500000 0 0 0.00000000 0.0 0 0.00000000 0.2500000
## 3 1.5000000 0 0 1.00000000 0.0 0 0.50000000 0.5000000
## 4 0.1111111 0 0 0.05555556 0.0 0 0.05555556 0.2222222
## 5 0.5000000 0 0 0.50000000 0.5 0 0.00000000 0.2500000
## had has hit hold jobs just last learn life
## 1 1 2.0000000 1 1.00000000 3.0000000 1.0000000 2 1 1
## 2 0 0.5000000 0 0.00000000 0.0000000 0.2500000 0 0 0
## 3 0 1.0000000 0 0.00000000 0.0000000 0.0000000 0 0 0
## 4 0 0.2222222 0 0.05555556 0.5555556 0.1111111 0 0 0
## 5 0 0.2500000 0 0.00000000 1.7500000 0.2500000 0 0 0
## lifetime likely lost low make manufacturing many
## 1 1 1.00000000 2.00000000 1 1.00000000 1 5.00000000
## 2 0 0.00000000 0.00000000 0 0.25000000 0 0.25000000
## 3 0 0.00000000 0.50000000 0 0.00000000 0 0.50000000
## 4 0 0.05555556 0.05555556 0 0.05555556 0 0.05555556
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## midst million more mortgage nearly need now
## 1 1 2.00000000 1.0000000 1 1 1.00000000 1.0000000
## 2 0 0.00000000 0.5000000 0 0 0.00000000 0.2500000
## 3 0 0.00000000 0.5000000 0 0 0.00000000 1.0000000
## 4 0 0.05555556 0.7222222 0 0 0.05555556 0.2777778
## 5 0 0.25000000 0.0000000 0 0 0.75000000 0.5000000
## only over part pay payroll savings seen settle
## 1 1.00000000 1.00 1.00 1.00000000 1 1.0000000 1.00000000 1
## 2 0.00000000 0.00 0.25 0.00000000 0 0.0000000 0.00000000 0
## 3 0.50000000 0.00 0.00 0.00000000 0 0.0000000 0.00000000 0
## 4 0.05555556 0.00 0.00 0.05555556 0 0.1111111 0.05555556 0
## 5 0.50000000 0.25 0.00 0.00000000 0 0.0000000 0.00000000 0
## since start than time two uncertain unlike want war
## 1 1 1.0 1.0000000 3.00000000 1 1 1 1 1.00
## 2 0 0.5 0.2500000 0.75000000 0 0 0 0 0.25
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## 4 0 0.0 0.1666667 0.05555556 0 0 0 0 0.00
## 5 0 0.0 0.0000000 0.25000000 0 0 0 0 0.00
## watching weeks what will work workers world year
## 1 1.00000000 1.00 1.0000000 1.000000 1.00000000 1.00 1.0000000 3
## 2 0.00000000 0.00 0.0000000 1.500000 0.50000000 0.00 0.2500000 0
## 3 0.00000000 0.00 0.0000000 1.000000 0.50000000 0.50 0.5000000 0
## 4 0.05555556 0.00 0.1111111 1.166667 0.05555556 0.00 0.1666667 0
## 5 0.00000000 0.25 0.5000000 2.250000 1.00000000 0.25 0.0000000 0
## 000 action bad become believe but capacity
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 1.00 0.00000000
## 3 0.00000000 0.50000000 0.00000000 0.00000000 0.00000000 1.00 0.50000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.50 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.75 0.00000000
## chance change college competitive could digits
## 1 0.0000000 0.0000000 0.00000000 0.0000000 0.0000000 0.00000000
## 2 0.0000000 0.5000000 0.00000000 0.0000000 0.0000000 0.00000000
## 3 0.0000000 0.0000000 0.00000000 0.0000000 0.5000000 0.00000000
## 4 0.1111111 0.1111111 0.05555556 0.1111111 0.3888889 0.05555556
## 5 0.0000000 0.0000000 0.00000000 0.2500000 0.0000000 0.00000000
## dollars don done double dramatic dramatically
## 1 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000
## 2 0.0000000 0.2500000 0.00000000 0.0000000 0.00000000 0.00000000
## 3 0.0000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000
## 4 0.2222222 0.1111111 0.05555556 0.1111111 0.05555556 0.05555556
## 5 0.0000000 0.0000000 0.25000000 0.0000000 0.00000000 0.00000000
## dreams economy edge fall family forced
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## 2 0.0000000 0.7500000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.0000000 0.5000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.1666667 0.4444444 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.0000000 0.5000000 0.00000000 0.00000000 0.00000000 0.00000000
## forego foundation four income its late
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 2 0.00000000 0.25000000 0.00000000 0.00000000 0.0000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.2500000 0.00000000
## linger lose nothing possible potential promise
## 1 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.00000000
## 2 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.00000000
## 3 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.2222222 0.1111111 0.1666667 0.05555556 0.05555556
## 5 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.25000000
## rate reach recession served short situation
## 1 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
## 2 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
## 3 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000 0.0000000
## 4 0.05555556 0.1111111 0.05555556 0.05555556 0.1666667 0.1111111
## 5 0.00000000 0.0000000 0.50000000 0.00000000 0.2500000 0.0000000
## soon standing strength take too train
## 1 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000
## 2 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000
## 3 0.00000000 0.00000000 0.0000000 0.5000000 0.0000000 0.00000000
## 4 0.05555556 0.05555556 0.1111111 0.1111111 0.3888889 0.05555556
## 5 0.00000000 0.00000000 0.0000000 0.2500000 0.0000000 0.00000000
## translates trillion unemployment which worse young
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556
## 5 0.00000000 0.00000000 0.25000000 0.50000000 0.0000000 0.00000000
## accident arrived better board business corporate
## 1 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.2500000 0.00000000 0.25000000 0.00000000
## 3 0.00000000 0.00000000 1.0000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.1111111 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000
## cycle day did dogmas due era
## 1 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.1666667 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.25000000 0.2500000 0.00000000 0.00000000 0.00000000 0.00000000
## get halls happen irresponsibility normal not
## 1 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000 0.0000000
## 2 0.2500000 0.00000000 0.0000000 0.00000000 0.00000000 0.7500000
## 3 0.5000000 0.00000000 0.0000000 0.00000000 0.00000000 1.5000000
## 4 0.1666667 0.05555556 0.1111111 0.05555556 0.05555556 0.2777778
## 5 0.5000000 0.00000000 0.0000000 0.00000000 0.00000000 0.2500000
## out point power profound relying rooms
## 1 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.2500000 0.0000000 0.25000000 0.00000000 0.00000000 0.00000000
## 3 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.2222222 0.1666667 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.0000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## solely stretched turn waiting washington won
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000
## 2 0.00000000 0.00000000 0.00000000 0.0000000 0.5000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.1111111 0.2222222
## 5 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000
## worn accountability advantage afford banks borrowers
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## cheap concern confidence couldn credit dangerous
## 1 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.2500000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 1.0000000 0.00000000 0.50000000 0.00000000
## 4 0.05555556 0.05555556 0.1666667 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.0000000 0.00000000 0.50000000 0.00000000
## debt decisions devastating discipline executives financial
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## 2 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 1.50000000
## 4 0.05555556 0.1666667 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## focused government imprudent instead little loans
## 1 0.00000000 0.0000000 0.00000000 0.0000000 0.0000000 0.00000000
## 2 0.00000000 0.2500000 0.00000000 0.0000000 0.0000000 0.00000000
## 3 0.00000000 0.5000000 0.00000000 0.0000000 0.0000000 0.00000000
## 4 0.05555556 0.1111111 0.05555556 0.1111111 0.2222222 0.05555556
## 5 0.00000000 1.0000000 0.00000000 0.0000000 0.0000000 0.00000000
## loss made markets money often points
## 1 0.00000000 0.0000000 0.00000000 0.0000000 0.00000000 0.00000000
## 2 0.00000000 0.0000000 0.00000000 0.5000000 0.00000000 0.00000000
## 3 0.00000000 0.0000000 0.50000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.1666667 0.05555556 0.2222222 0.05555556 0.05555556
## 5 0.00000000 0.0000000 0.00000000 0.5000000 0.00000000 0.00000000
## political politicians problems profits regard regulatory
## 1 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000 0.0000000
## 2 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000 0.0000000
## 3 0.00000000 0.0000000 1.0000000 0.00000000 0.00000000 0.5000000
## 4 0.05555556 0.1111111 0.1666667 0.05555556 0.05555556 0.1111111
## 5 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000 0.0000000
## repay result risk scoring scrutiny seeking
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.50000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## sent solve spent street taxpayer them they
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## 2 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.2500000
## 3 0.00000000 1.00000000 0.0000000 0.0000000 0.0000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.1666667 0.1111111 0.1111111 0.05555556 0.3333333
## 5 0.00000000 0.00000000 0.0000000 0.0000000 0.0000000 0.25000000 0.2500000
## took trust wall were whether wisdom
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## 2 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000 0.00000000
## 3 0.00000000 0.50000000 0.0000000 0.00000000 0.0000000 0.00000000
## 4 0.05555556 0.05555556 0.1111111 0.05555556 0.2222222 0.05555556
## 5 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000 0.00000000
## with ability act advanced again beyond brilliant can
## 1 0.0000000 0.0 0.00000000 0.0 0.00 0.0 0.0 0.0000000
## 2 0.7500000 0.0 0.00000000 0.0 0.25 0.0 0.0 0.7500000
## 3 2.0000000 0.5 0.50000000 0.5 1.50 0.5 0.5 2.5000000
## 4 0.1666667 0.0 0.05555556 0.0 0.00 0.0 0.0 0.2777778
## 5 0.5000000 0.0 0.50000000 0.0 0.75 0.0 0.0 0.7500000
## creative earth entrepreneurs envy ever fact fears forget greatness home
## 1 0.0 0.0 0.0 0.0 0.0 0.00 0.0 0.0 0.0 0.0
## 2 0.0 0.0 0.0 0.0 0.0 0.00 0.0 0.0 0.0 0.0
## 3 0.5 0.5 0.5 0.5 0.5 0.50 0.5 0.5 0.5 0.5
## 4 0.0 0.0 0.0 0.0 0.0 0.00 0.0 0.0 0.0 0.0
## 5 0.0 0.0 0.0 0.0 0.0 0.25 0.0 0.0 0.0 0.0
## improbable innovation know known largely making means minds
## 1 0.0 0.0 0.0000000 0.0 0.0 0.0 0.0 0.0
## 2 0.0 0.0 0.0000000 0.0 0.0 0.0 1.0 0.0
## 3 0.5 0.5 0.5000000 0.5 0.5 0.5 2.5 0.5
## 4 0.0 0.0 0.1111111 0.0 0.0 0.0 0.0 0.0
## 5 0.0 0.0 0.0000000 0.0 0.0 0.0 0.0 0.0
## mistakes moment most never odds opportunity overcome own perhaps
## 1 0.0 0.0 0.00 0.0000000 0.0 0.0 0.0 0.00 0.0
## 2 0.0 0.0 0.25 0.0000000 0.0 0.0 0.0 0.25 0.0
## 3 0.5 0.5 1.50 1.0000000 0.5 0.5 0.5 0.50 0.5
## 4 0.0 0.0 0.00 0.1111111 0.0 0.0 0.0 0.00 0.0
## 5 0.0 0.5 0.00 0.2500000 0.0 0.0 0.0 0.00 0.0
## productive prosperity rebuild requires restore rooted seriousness
## 1 0.0 0 0.00 0.0 0.00 0.0 0.0
## 2 0.0 0 0.25 0.0 0.00 0.0 0.0
## 3 0.5 1 0.50 0.5 0.50 0.5 0.5
## 4 0.0 0 0.00 0.0 0.00 0.0 0.0
## 5 0.0 0 0.00 0.0 0.25 0.0 0.0
## should still technology universities urgency very american anything
## 1 0.00000000 0 0.00000000 0.00000000 0 0.0 0.0000000 0.00
## 2 0.00000000 0 0.25000000 0.00000000 0 0.0 0.2500000 0.25
## 3 0.50000000 2 0.50000000 0.50000000 1 0.5 0.0000000 0.00
## 4 0.05555556 0 0.05555556 0.05555556 0 0.0 0.3333333 0.00
## 5 0.00000000 0 0.00000000 0.00000000 0 0.0 0.2500000 0.00
## approach challenges create creation culture economic end
## 1 0.0000000 0.0 0.00000000 0.00000000 0.00 0.00000000 0.0
## 2 0.2500000 0.5 0.50000000 0.25000000 0.25 0.75000000 0.5
## 3 0.0000000 0.0 0.00000000 0.00000000 0.00 0.00000000 0.0
## 4 0.1111111 0.0 0.05555556 0.05555556 0.00 0.05555556 0.0
## 5 0.0000000 0.0 0.75000000 0.00000000 0.00 0.00000000 0.0
## finally goes growth habits helped hope immediately job jump
## 1 0.00000000 0.00 0.0 0.00 0.00000000 0.00 0.00 0.00 0.00
## 2 0.25000000 0.25 0.5 0.25 0.25000000 0.25 0.25 0.25 0.25
## 3 0.00000000 0.00 0.0 0.00 0.00000000 0.00 0.00 0.00 0.00
## 4 0.05555556 0.00 0.0 0.00 0.05555556 0.00 0.00 0.00 0.00
## 5 0.25000000 0.00 0.5 0.00 0.00000000 0.00 0.00 0.00 0.00
## leaders long meeting moved must old parties plan policy
## 1 0.0 0.0 0.00 0.00 0.00000000 0.00 0.0 0.0000000 0.0
## 2 0.5 0.5 0.25 0.25 1.00000000 0.25 0.5 0.7500000 0.5
## 3 0.0 0.0 0.00 0.00 1.50000000 0.00 0.0 0.5000000 0.0
## 4 0.0 0.0 0.00 0.00 0.05555556 0.00 0.0 0.2777778 0.0
## 5 0.0 0.5 0.00 0.00 0.25000000 0.25 0.0 1.7500000 0.0
## quickly recovery reinvestment represents responsibility spirit team
## 1 0.00000000 0.0000000 0.00000000 0.00 0.00 0 0.00
## 2 0.25000000 0.7500000 0.25000000 0.25 0.25 1 0.25
## 3 0.00000000 0.5000000 0.00000000 0.00 0.00 0 0.00
## 4 0.05555556 0.1111111 0.05555556 0.00 0.00 0 0.00
## 5 0.00000000 0.2500000 0.25000000 0.00 0.50 0 0.25
## term trade urgent ways whole why add budget
## 1 0.00000000 0.00 0.0 0.00 0.00 0.00000000 0.00000000 0.00000000
## 2 0.50000000 0.25 0.5 0.25 0.25 0.50000000 0.00000000 0.00000000
## 3 0.00000000 0.00 0.0 0.00 0.00 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.00 0.0 0.00 0.00 0.05555556 0.05555556 0.05555556
## 5 0.50000000 0.00 0.0 0.00 0.00 2.00000000 0.00000000 0.50000000
## certain certainly consequences considerable cost deficit
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111 0.1111111
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## doing doubt equally even greater incomes
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000
## 2 0.00000000 0.25000000 0.00000000 0.0000000 0.00000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556 0.1111111
## 5 0.00000000 0.00000000 0.00000000 0.7500000 0.00000000 0.0000000
## lead alone boldly boost crippling cycles deep depend ensure
## 1 0.0000000 0.00 0.00 0.00 0.00 0.00000000 0.00 0.00 0.00000000
## 2 0.5000000 0.00 0.00 0.00 0.00 0.00000000 0.00 0.00 0.00000000
## 3 0.0000000 0.50 0.00 0.00 0.00 0.00000000 0.00 0.50 0.00000000
## 4 0.2222222 0.00 0.00 0.00 0.00 0.05555556 0.00 0.00 0.05555556
## 5 0.0000000 0.25 0.25 0.25 0.25 0.25000000 0.25 0.25 0.25000000
## flow happens inability invest lack leads lend less lift like
## 1 0.00 0.00 0.00 0.0000000 0.00 0.00000000 0.00 0.0 0.00 0.00
## 2 0.00 0.00 0.00 0.0000000 0.00 0.00000000 0.00 0.0 0.00 0.00
## 3 0.00 0.00 0.00 0.0000000 0.00 0.00000000 0.00 0.0 0.00 0.00
## 4 0.00 0.00 0.00 0.1111111 0.00 0.05555556 0.00 0.0 0.00 0.00
## 5 0.25 0.25 0.25 0.5000000 0.25 0.75000000 0.25 0.5 0.25 0.75
## necessary particular people pockets provide put restart
## 1 0.00000000 0.00 0.0000000 0.00 0.00000000 0.0000000 0.00
## 2 0.00000000 0.00 0.5000000 0.00 0.00000000 0.5000000 0.00
## 3 0.00000000 0.00 0.0000000 0.00 0.00000000 0.0000000 0.00
## 4 0.05555556 0.00 0.1111111 0.00 0.05555556 0.1666667 0.00
## 5 0.75000000 0.25 0.5000000 0.25 0.75000000 0.7500000 0.25
## reverse road rules severe sic spending stops these true
## 1 0.00000000 0.00 0.00 0.00 0.00 0.00000000 0.00 0.00000000 0.00000000
## 2 0.00000000 0.00 0.00 0.00 0.00 0.00000000 0.00 0.50000000 0.00000000
## 3 0.00000000 0.00 0.00 0.00 0.00 0.00000000 0.00 0.00000000 0.00000000
## 4 0.05555556 0.00 0.00 0.00 0.00 0.05555556 0.00 0.05555556 0.05555556
## 5 0.25000000 0.25 0.25 0.25 0.25 0.75000000 0.25 0.25000000 0.25000000
## where 21st around begins care century confident
## 1 0.0000000 0.00000000 0.00 0.00 0.0000000 0.00000000 0.00
## 2 0.0000000 0.00000000 0.00 0.00 0.0000000 0.00000000 0.00
## 3 0.0000000 0.00000000 0.00 0.00 0.0000000 0.00000000 0.00
## 4 0.1111111 0.05555556 0.00 0.00 0.1111111 0.05555556 0.00
## 5 0.5000000 0.50000000 0.25 0.25 0.7500000 0.50000000 0.25
## country created education energy find firefighters health
## 1 0.00000000 0.00 0.0 0.0000000 0.0 0.00 0.0000000
## 2 0.00000000 0.00 0.0 0.2500000 0.0 0.00 0.0000000
## 3 0.00000000 0.00 0.0 0.0000000 0.0 0.00 0.0000000
## 4 0.05555556 0.00 0.0 0.2777778 0.0 0.00 0.1111111
## 5 0.50000000 0.25 0.5 0.2500000 0.5 0.25 0.7500000
## infrastructure keep least majority millions officers others overwhelming
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.50 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## paradox police priorities private program public recognizes
## 1 0.00 0.0 0.00 0.00 0.00 0.00000000 0.00
## 2 0.00 0.0 0.00 0.00 0.25 0.00000000 0.00
## 3 0.00 0.0 0.00 0.00 0.00 0.00000000 0.00
## 4 0.00 0.0 0.00 0.00 0.00 0.05555556 0.00
## 5 0.25 0.5 0.25 0.25 0.25 0.50000000 0.25
## save sector services strong teachers three trying vital
## 1 0.0000000 0.0 0.0 0.00 0.00000000 0.00000000 0.00 0.00
## 2 0.2500000 0.0 0.0 0.00 0.00000000 0.00000000 0.00 0.00
## 3 0.0000000 0.0 0.0 0.00 0.00000000 0.00000000 0.00 0.00
## 4 0.1111111 0.0 0.0 0.00 0.05555556 0.05555556 0.00 0.00
## 5 0.5000000 0.5 0.5 0.25 0.25000000 0.25000000 0.25 0.25
## while works alternative billions buildings consumers
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## 2 0.00000000 0.00000000 0.25000000 0.0000000 0.0000000 0.00000000
## 3 0.50000000 0.00000000 0.00000000 0.0000000 0.0000000 0.50000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.1111111 0.05555556
## 5 0.25000000 0.25000000 0.00000000 0.0000000 0.0000000 0.00000000
## efficiency federal homes improve modernize percent
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## 2 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.50000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## production saving spark taxpayers bargain building
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.50000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## cars cleaner constructing developing efficient fuel
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## outsourced panels planet process safer solar
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## technologies turbines well wind computerized cut
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## 2 0.00000000 0.00000000 0.25000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.50000000
## deadly eliminate errors expensive five immediate
## 1 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.1111111 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.25000000
## investments lives lowering medical pervade preventable
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 2 0.25000000 0.00000000 0.00000000 0.2500000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.1666667 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## quality records red reduce reducing repeat
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## system tape tests thousands waste within
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000
## 2 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000
## 3 1.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556 0.1111111
## 5 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.0000000
## beijing boston chicago children classrooms colleges
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.1666667 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.2500000 0.00000000 0.00000000
## community compete computers equip give high
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 2 0.00000000 0.25000000 0.00000000 0.00000000 0.00000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## labs libraries live schools students tech
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## 2 0.00000000 0.00000000 0.00000000 0.25000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## tens training wage across also anywhere attack backlog
## 1 0.00000000 0.00000000 0.00000000 0.00 0.0 0.00 0.00 0.00
## 2 0.00000000 0.00000000 0.00000000 0.25 0.5 0.25 0.25 0.25
## 3 0.00000000 0.00000000 0.00000000 0.00 0.5 0.00 0.00 0.00
## 4 0.05555556 0.05555556 0.05555556 0.00 0.0 0.00 0.00 0.00
## 5 0.00000000 0.00000000 0.00000000 0.00 0.0 0.00 0.00 0.00
## blackout breakthroughs bridges broadband build connect corner
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.25 0.25 0.25 0.50 0.25 0.25
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.25 0.00 0.00
## counterparts crumbling deliver discoveries electricity eliminating
## 1 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.25 0.25 0.25 0.25 0.25
## 3 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.00
## entire every expanding forms global grid industries investing lines
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## 2 0.25 0.5000000 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## 3 0.50 0.0000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.1111111 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.2500000 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## needed planned projects protect repairing research retrofit roads rural
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.25 0.75 0.25 0.25 0.25 0.25 0.25 0.25
## 3 0.00 0.00 0.00 0.50 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## science small smart sources starting town updating way worthy yes
## 1 0.00 0.00 0.0 0.00 0.00 0.00 0.00 0.00 0.0 0.00
## 2 0.25 0.25 0.5 0.25 0.25 0.25 0.25 0.25 0.5 0.25
## 3 0.00 0.00 0.0 0.00 0.00 0.00 0.00 0.00 0.0 0.00
## 4 0.00 0.00 0.0 0.00 0.00 0.00 0.00 0.00 0.0 0.00
## 5 0.00 0.00 0.0 0.00 0.00 0.00 0.00 0.00 0.0 0.00
## avoid bearing belt bipartisan brunt campaign class continue coverage
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## cuts dollar during essential extension fire first harmful help include
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.0 0.00 0.00 0.00
## 5 0.25 0.25 0.25 0.25 0.25 0.25 0.5 0.25 0.75 0.25
## insurance level maintain middle ones promised receive relief stage
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.50 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## states struggling tax thousand through tighten use working
## 1 0.00000000 0.00 0.0 0.00 0.00000000 0.00 0.00 0.00
## 2 0.25000000 0.00 0.0 0.00 0.00000000 0.00 0.00 0.00
## 3 0.00000000 0.00 0.0 0.00 0.00000000 0.00 0.00 0.00
## 4 0.05555556 0.00 0.0 0.00 0.05555556 0.00 0.00 0.00
## 5 0.50000000 0.25 0.5 0.25 0.25000000 0.25 0.25 0.25
## already conservative deal democratic dream good
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## 2 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.1111111 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000 0.75000000
## grow haven higher ideas liberal might
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## 2 0.00000000 0.00000000 0.00000000 0.2500000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.2500000 0.00000000 0.00000000
## policies pursue renewed republican skeptical test
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## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## throw translate understand yet able about
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## 2 0.00000000 0.00000000 0.25000000 0.00000000 0.5000000 0.2500000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111 0.1111111
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.0000000
## accountable announced behind being doling effort
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.50000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## experts going how independent informed launch
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.25000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## online right secrecy see transparently unaffordable
## 1 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000 0.00000000
## unnecessary unprecedented unwise veil wherever yesterday
## 1 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.1111111 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.0000000 0.00000000 0.00000000 0.00000000 0.00000000
## above aspirations benefit choices coming communities congress deficits
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.0000000 0.00
## 2 0.25 0.25 0.25 0.25 0.25 0.25 0.2500000 0.25
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.0000000 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.1111111 0.00
## 5 0.25 0.00 0.00 0.00 0.00 0.00 0.2500000 0.00
## down earmarks emergency fiscal free getting goal house interests
## 1 0.0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00000000
## 2 0.5 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25000000
## 3 0.0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00000000
## 4 0.0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.05555556
## 5 0.0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00000000
## legislation local member narrow needs order pet programs recovers slew
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## solid spend tough vehicle when address arsenal catastrophic clear
## 1 0.00 0.00 0.00 0.00 0.00 0.0 0.0 0.0 0.0
## 2 0.25 0.25 0.25 0.25 0.25 0.0 0.0 0.0 0.0
## 3 0.00 0.00 0.00 0.00 0.00 0.5 0.5 0.5 0.5
## 4 0.00 0.00 0.00 0.00 0.00 0.0 0.0 0.0 0.0
## 5 0.00 0.00 0.00 0.00 0.00 0.0 0.0 0.0 0.0
## collapse company endanger failure firms flowing foreclosure greed
## 1 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0
## 2 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0
## 3 0.5 0.5 1 0.5 0.5 0.5 0.5 0.5
## 4 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0
## 5 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0
## institutions investors launching led maximum outdated preventing
## 1 0.0 0.0 0.0 0.00 0.0 0.0 0.0
## 2 0.0 0.0 0.0 0.25 0.0 0.0 0.0
## 3 0.5 0.5 0.5 0.50 0.5 0.5 0.5
## 4 0.0 0.0 0.0 0.00 0.0 0.0 0.0
## 5 0.0 0.0 0.0 0.00 0.0 0.0 0.0
## protections reckless reforming repair responsible restoring restrictions
## 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 3 0.5 0.5 0.5 0.5 0.5 0.5 0.5
## 4 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## 5 0.0 0.0 0.0 0.0 0.0 0.0 0.0
## same sense shocks significant stabilize support sweeping taking
## 1 0.00000000 0.00 0.0 0.0 0.0 0 0.0 0.0
## 2 0.25000000 0.00 0.0 0.0 0.0 0 0.0 0.0
## 3 0.50000000 0.50 0.5 0.5 0.5 1 0.5 0.5
## 4 0.05555556 0.00 0.0 0.0 0.0 0 0.0 0.0
## 5 0.25000000 0.25 0.0 0.0 0.0 0 0.0 0.0
## tools understanding using weak whose withstand allow borrowing
## 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0000000 0.00000000
## 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0000000 0.00000000
## 3 0.5 0.5 0.5 0.5 0.5 0.5 0.0000000 0.00000000
## 4 0.0 0.0 0.0 0.0 0.0 0.0 0.1666667 0.05555556
## 5 0.0 0.0 0.0 0.0 0.0 0.0 0.0000000 0.00000000
## bubble bust cracks destructive lending longer
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.1666667
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## scales slip special thumbs unscrupulous wrongdoers
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## ahead behalf days deeper deferred denied
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.25000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## discussion drag feet fingers honest may
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.1666667
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000
## move open sink urge wait accept
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.1111111 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.0000000 0.00000000
## depends president united altogether before delay
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.25000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## easy overnight reason reckoning scale severity
## 1 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 2 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 3 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## 4 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556 0.05555556
## 5 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## things tried asking asks battles calling common democrats each
## 1 0.00000000 0.00000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00000000 0.00000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00000000 0.00000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.05555556 0.05555556 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00000000 0.00000000 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## hard ideological independents inherit insist isn night partisanship
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## passed purpose question republicans rewarded weekends back beginning
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.25 0.25 0.25 0.25 0.25 0.25 0.00 0.00
## confront depression enable face fear generations hopeful itself listen
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## look marked posterity previous summon bless god you
## 1 0.0 0.00 0.00 0.00 0.00 0.0000000 0.0000000 0.0000000
## 2 0.5 0.25 0.25 0.25 0.25 0.0000000 0.0000000 0.0000000
## 3 0.0 0.00 0.00 0.00 0.00 0.0000000 0.0000000 0.0000000
## 4 0.0 0.00 0.00 0.00 0.00 0.1111111 0.1111111 0.1111111
## 5 0.0 0.00 0.00 0.00 0.00 0.0000000 0.0000000 0.0000000
##
## Clustering vector:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## 4 4 1 4 4 4 3 2 4 5 5 4 4 4 4 2 5 4 4 2 3 4 4 4 4
## 26 27 28 29
## 5 2 4 4
##
## Within cluster sum of squares by cluster:
## [1] 0.00 284.75 126.00 1053.50 333.00
## (between_SS / total_SS = 32.7 %)
##
## Available components:
##
## [1] "cluster" "centers" "totss" "withinss"
## [5] "tot.withinss" "betweenss" "size" "iter"
## [9] "ifault"summary(mymeans)## Length Class Mode
## cluster 29 -none- numeric
## centers 4045 -none- numeric
## totss 1 -none- numeric
## withinss 5 -none- numeric
## tot.withinss 1 -none- numeric
## betweenss 1 -none- numeric
## size 5 -none- numeric
## iter 1 -none- numeric
## ifault 1 -none- numericfreq <- findFreqTerms(dtm,10)
freq## [1] "and" "are" "for" "the" "their" "have" "new"
## [8] "our" "that" "this" "years" "crisis" "has" "jobs"
## [15] "more" "now" "will" "but" "economy" "not" "with"
## [22] "can" "plan" "why"m2 <- as.matrix(dtm)
dm <- dist(scale(m2))
fit <- hclust(dm, method="ward")## The "ward" method has been renamed to "ward.D"; note new "ward.D2"plot(fit)