Capstone-Assignment
2023-08-28
#determine the number of words in files
library(stringi)
library(ggplot2)## Warning: package 'ggplot2' was built under R version 4.2.3library(textcat)## Warning: package 'textcat' was built under R version 4.2.3library(tm)## Warning: package 'tm' was built under R version 4.2.3## Loading required package: NLP##
## Attaching package: 'NLP'## The following object is masked from 'package:ggplot2':
##
## annotatelibrary(dplyr)## Warning: package 'dplyr' was built under R version 4.2.3##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(stringr)
library(ggplot2)
library(flextable)## Warning: package 'flextable' was built under R version 4.2.3library(quanteda)## Warning: package 'quanteda' was built under R version 4.2.3## Package version: 3.3.1
## Unicode version: 13.0
## ICU version: 69.1## Parallel computing: 4 of 4 threads used.## See https://quanteda.io for tutorials and examples.##
## Attaching package: 'quanteda'## The following object is masked from 'package:tm':
##
## stopwords## The following objects are masked from 'package:NLP':
##
## meta, meta<-library(tm)
library(udpipe)## Warning: package 'udpipe' was built under R version 4.2.3library(tidytext)## Warning: package 'tidytext' was built under R version 4.2.3library(wordcloud)## Warning: package 'wordcloud' was built under R version 4.2.3## Loading required package: RColorBrewerlibrary(quanteda.textstats)## Warning: package 'quanteda.textstats' was built under R version 4.2.3library(quanteda.textplots)## Warning: package 'quanteda.textplots' was built under R version 4.2.3library(ggraph)## Warning: package 'ggraph' was built under R version 4.2.3library(tidyr)#read the files
blog <- readLines("en_US.blogs.txt")
twitter <- readLines("en_US.twitter.txt")## Warning in readLines("en_US.twitter.txt"): line 167155 appears to contain an
## embedded nul## Warning in readLines("en_US.twitter.txt"): line 268547 appears to contain an
## embedded nul## Warning in readLines("en_US.twitter.txt"): line 1274086 appears to contain an
## embedded nul## Warning in readLines("en_US.twitter.txt"): line 1759032 appears to contain an
## embedded nulnews <- readLines("en_US.news.txt")## Warning in readLines("en_US.news.txt"): incomplete final line found on
## 'en_US.news.txt'#estimate the file sizes in mbs
bsize <- file.info("en_US.blogs.txt")$size / 1024 ^ 2
tsize <- file.info("en_US.twitter.txt")$size / 1024 ^ 2
nsize <- file.info("en_US.news.txt")$size / 1024 ^ 2
#determine the number of words in file
blogwords <- stri_count_words(blog)
twitterwords <- stri_count_words(twitter)
newswords <- stri_count_words(news)
#summary of the dataset
data.frame(source = c("blog", "twitter", "news"),
file.size.MB = c(bsize, tsize, nsize),
num.lines = c(length(blog), length(twitter), length(news)),
num.words = c(sum(blogwords), sum(twitterwords), sum(newswords)),
mean.num.words = c(mean(blogwords), mean(twitterwords), mean(newswords)))## source file.size.MB num.lines num.words mean.num.words
## 1 blog 200.4242 899288 37546250 41.75109
## 2 twitter 159.3641 2360148 30093372 12.75063
## 3 news 196.2775 77259 2674536 34.61779Extracting word frequency list is of great importance. So extract a frequency list from a corpus. So first load a corpus, convert everything to lower case, remove non-word symbols also punctuations, and split the corpus data into individual words.
#load and process corpus
text_words <- twitter %>%
tolower() %>%
str_replace_all("[^[:alpha:][:space:]]*", "") %>%
tm::removePunctuation() %>%
stringr::str_squish() %>%
stringr::str_split(" ") %>%
unlist()After having a vector of words, easily create a table that create a word frequency list
#create a table
wfreq <- text_words %>%
table() %>%
as.data.frame() %>%
arrange(desc(Freq)) %>%
dplyr::rename(word = 1,
frequency = 2)
wfreq## word frequency
## 1 the 934170
## 2 to 786629
## 3 i 713688
## 4 a 608614
## 5 you 543695
## 6 and 433686
## 7 for 384535
## 8 in 377033
## 9 of 358981
## 10 is 357543
## 11 it 291397
## 12 my 290517
## 13 on 276263
## 14 that 232906
## 15 me 200065
## 16 be 187176
## 17 at 185524
## 18 with 172995
## 19 your 170771
## 20 have 168051
## 21 so 163267
## 22 this 162735
## 23 im 158562
## 24 are 158116
## 25 just 149619
## 26 we 132289
## 27 but 123889
## 28 not 122553
## 29 like 121324
## 30 its 120633
## 31 all 120167
## 32 was 117028
## 33 out 114138
## 34 up 113002
## 35 get 111929
## 36 what 110968
## 37 do 105791
## 38 love 105589
## 39 if 105462
## 40 good 99671
## 41 will 94281
## 42 about 90952
## 43 dont 90106
## 44 day 90061
## 45 can 89114
## 46 rt 88706
## 47 thanks 88660
## 48 from 83691
## 49 now 81926
## 50 when 81786
## 51 one 81325
## 52 know 79269
## 53 no 76415
## 54 u 76339
## 55 great 75382
## 56 time 74697
## 57 how 74629
## 58 go 71777
## 59 today 71233
## 60 as 70914
## 61 new 69381
## 62 they 68992
## 63 or 68940
## 64 lol 66708
## 65 see 66510
## 66 an 65948
## 67 more 62522
## 68 our 61798
## 69 some 61568
## 70 there 60325
## 71 by 58790
## 72 too 58354
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## 135 week 28456
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## 152 hey 25550
## 153 looking 25301
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## 172 something 22192
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## 187 free 20344
## 188 help 20167
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## 195 live 19569
## 196 watching 19539
## 197 other 19467
## 198 tell 19464
## 199 tweet 19447
## 200 soon 19331
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## 202 music 19148
## 203 give 19067
## 204 call 18980
## 205 coming 18917
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## 207 little 18881
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## 232 play 16719
## 233 another 16706
## 234 watch 16653
## 235 pretty 16651
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## 237 birthday 16260
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## 240 old 16162
## 241 win 16033
## 242 anyone 16019
## 243 talk 16016
## 244 these 15907
## 245 use 15793
## 246 excited 15573
## 247 friday 15269
## 248 hear 15189
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## 257 thought 14654
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## 263 wanna 14230
## 264 put 14173
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## 276 lot 13436
## 277 ya 13367
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## 279 yet 13172
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## 281 job 13096
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## 288 wow 12907
## 289 saw 12857
## 290 friend 12763
## 291 everything 12750
## 292 song 12673
## 293 through 12633
## 294 id 12598
## 295 guy 12565
## 296 favorite 12499
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## 298 making 12321
## 299 might 12299
## 300 ass 12223
## 301 must 12158
## 302 until 12148
## 303 fuck 12074
## 304 name 11987
## 305 food 11883
## 306 stay 11833
## 307 person 11818
## 308 book 11780
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## 355 p 10246
## 356 funny 10207
## 357 meet 10172
## 358 went 10172
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## 363 says 10032
## 364 enjoy 10031
## 365 without 10031
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## 367 else 10001
## 368 part 9952
## 369 havent 9922
## 370 enough 9905
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## 372 times 9719
## 373 early 9708
## 374 city 9681
## 375 hi 9660
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## 377 word 9613
## 378 hours 9609
## 379 luck 9555
## 380 high 9527
## 381 mind 9518
## 382 far 9477
## 383 ask 9395
## 384 facebook 9329
## 385 care 9309
## 386 needs 9306
## 387 tweets 9242
## 388 heart 9211
## 389 heard 9146
## 390 girls 9136
## 391 r 9115
## 392 myself 9102
## 393 ha 9045
## 394 b 9037
## 395 send 9027
## 396 fan 8911
## 397 almost 8904
## 398 business 8890
## 399 bring 8830
## 400 seen 8769
## 401 idea 8759
## 402 wrong 8668
## 403 car 8622
## 404 least 8620
## 405 hour 8617
## 406 saturday 8604
## 407 feeling 8598
## 408 eat 8582
## 409 fans 8557
## 410 kind 8552
## 411 probably 8525
## 412 sunday 8496
## 413 used 8493
## 414 buy 8484
## 415 bed 8428
## 416 face 8395
## 417 sweet 8307
## 418 gets 8303
## 419 late 8262
## 420 hair 8231
## 421 dude 8198
## 422 okay 8197
## 423 theyre 8110
## 424 post 8105
## 425 taking 8095
## 426 meeting 8092
## 427 yourself 8053
## 428 la 8047
## 429 found 8043
## 430 room 8042
## 431 full 8037
## 432 once 7981
## 433 social 7919
## 434 bitch 7914
## 435 seeing 7900
## 436 event 7884
## 437 aint 7875
## 438 story 7825
## 439 super 7815
## 440 whole 7793
## 441 yall 7758
## 442 monday 7749
## 443 together 7738
## 444 sometimes 7705
## 445 sad 7694
## 446 listening 7688
## 447 lmao 7667
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## 449 black 7641
## 450 top 7641
## 451 shes 7625
## 452 lunch 7617
## 453 tv 7610
## 454 bro 7607
## 455 break 7560
## 456 yesterday 7540
## 457 reading 7498
## 458 called 7483
## 459 forget 7482
## 460 told 7461
## 461 point 7418
## 462 join 7417
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## 465 lost 7376
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## 513 loved 6424
## 514 wanted 6411
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## 530 hahaha 6254
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## 532 using 6204
## 533 sick 6203
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## 536 bit 6152
## 537 page 6122
## 538 listen 6120
## 539 means 6110
## 540 hello 6095
## 541 either 6079
## 542 ago 6063
## 543 chicago 6042
## 544 c 6031
## 545 future 6024
## 546 tickets 6022
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## 549 running 6006
## 550 k 6000
## 551 between 5997
## 552 yea 5993
## 553 x 5987
## 554 outside 5969
## 555 different 5934
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## 557 info 5908
## 558 reason 5883
## 559 second 5879
## 560 walk 5874
## 561 seems 5839
## 562 students 5835
## 563 nd 5820
## 564 ah 5813
## 565 rest 5787
## 566 past 5752
## 567 dog 5742
## 568 turn 5742
## 569 whos 5741
## 570 visit 5729
## 571 worth 5687
## 572 mine 5680
## 573 christmas 5670
## 574 rain 5665
## 575 dream 5655
## 576 plan 5639
## 577 proud 5618
## 578 art 5615
## 579 boys 5612
## 580 site 5596
## 581 beat 5589
## 582 till 5576
## 583 mad 5571
## 584 ff 5566
## 585 number 5562
## 586 dance 5561
## 587 writing 5557
## 588 share 5546
## 589 stupid 5541
## 590 three 5521
## 591 side 5488
## 592 spring 5482
## 593 busy 5478
## 594 dm 5465
## 595 austin 5436
## 596 college 5417
## 597 ugh 5403
## 598 youve 5378
## 599 men 5368
## 600 cold 5367
## 601 power 5365
## 602 service 5358
## 603 pay 5346
## 604 understand 5315
## 605 blog 5306
## 606 trip 5293
## 607 vs 5252
## 608 easy 5251
## 609 drive 5250
## 610 park 5247
## 611 yay 5245
## 612 deal 5234
## 613 appreciate 5225
## 614 tho 5210
## 615 wouldnt 5209
## 616 able 5194
## 617 ppl 5190
## 618 giving 5187
## 619 club 5162
## 620 against 5156
## 621 website 5155
## 622 bar 5152
## 623 couldnt 5140
## 624 single 5132
## 625 huge 5123
## 626 thx 5099
## 627 young 5092
## 628 cuz 5087
## 629 ones 5083
## 630 success 5083
## 631 via 5080
## 632 water 5080
## 633 kid 5075
## 634 matter 5061
## 635 san 5058
## 636 under 5055
## 637 finished 5014
## 638 app 4999
## 639 dear 4993
## 640 instead 4983
## 641 voice 4971
## 642 weird 4964
## 643 sound 4933
## 644 account 4930
## 645 shout 4928
## 646 town 4921
## 647 green 4909
## 648 nyc 4886
## 649 thursday 4886
## 650 fine 4884
## 651 band 4875
## 652 knew 4873
## 653 arent 4859
## 654 project 4858
## 655 lady 4832
## 656 eyes 4831
## 657 film 4831
## 658 woman 4827
## 659 small 4792
## 660 shows 4786
## 661 write 4761
## 662 experience 4754
## 663 couple 4750
## 664 john 4750
## 665 date 4723
## 666 dead 4705
## 667 american 4699
## 668 tweeting 4698
## 669 catch 4683
## 670 mention 4681
## 671 dad 4679
## 672 em 4679
## 673 fight 4674
## 674 wine 4669
## 675 series 4659
## 676 safe 4657
## 677 living 4656
## 678 store 4655
## 679 dc 4654
## 680 final 4653
## 681 google 4639
## 682 picture 4637
## 683 fire 4636
## 684 forever 4636
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## 686 group 4621
## 687 street 4615
## 688 body 4609
## 689 sign 4607
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## 692 works 4578
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## 694 eating 4560
## 695 order 4557
## 696 behind 4554
## 697 anymore 4552
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## 701 important 4519
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## 703 radio 4512
## 704 library 4505
## 705 wit 4503
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## 707 local 4488
## 708 smile 4487
## 709 starts 4478
## 710 shot 4472
## 711 wear 4472
## 712 die 4466
## 713 add 4458
## 714 hand 4442
## 715 months 4437
## 716 kinda 4435
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## 721 sucks 4391
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## 848 march 3555
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## 49544 skatin 9
## 49545 skier 9
## 49546 skiers 9
## 49547 skimpy 9
## 49548 skinkis 9
## 49549 skintasticcom 9
## 49550 sklar 9
## 49551 skoal 9
## 49552 skybar 9
## 49553 skyrocketed 9
## 49554 slaleads 9
## 49555 slammer 9
## 49556 slaname 9
## 49557 slapper 9
## 49558 slates 9
## 49559 sleaze 9
## 49560 sledge 9
## 49561 slicked 9
## 49562 slideshows 9
## 49563 slingbox 9
## 49564 slinger 9
## 49565 slobs 9
## 49566 slocum 9
## 49567 slumbers 9
## 49568 slumped 9
## 49569 slumps 9
## 49570 slurred 9
## 49571 slurry 9
## 49572 smallbusinesssaturday 9
## 49573 smallpox 9
## 49574 smalltown 9
## 49575 smartly 9
## 49576 smbmsp 9
## 49577 smcnsb 9
## 49578 smexy 9
## 49579 smhi 9
## 49580 smosh 9
## 49581 smsportschat 9
## 49582 smthng 9
## 49583 smwla 9
## 49584 sneaked 9
## 49585 sneakerhead 9
## 49586 snls 9
## 49587 snowshoeing 9
## 49588 soars 9
## 49589 sociable 9
## 49590 socialanxiety 9
## 49591 socialite 9
## 49592 socialites 9
## 49593 sociologists 9
## 49594 sociopaths 9
## 49595 soflo 9
## 49596 softening 9
## 49597 softwares 9
## 49598 softy 9
## 49599 sog 9
## 49600 sois 9
## 49601 solyndra 9
## 49602 someawards 9
## 49603 somefactsyoushouldknow 9
## 49604 sommers 9
## 49605 somuch 9
## 49606 sorrento 9
## 49607 sorrybut 9
## 49608 sosososo 9
## 49609 sotg 9
## 49610 sothis 9
## 49611 soundbite 9
## 49612 soundbites 9
## 49613 soundboard 9
## 49614 soundproofing 9
## 49615 sourcefest 9
## 49616 soviets 9
## 49617 soyfree 9
## 49618 spaceflight 9
## 49619 spanishspeaking 9
## 49620 spanning 9
## 49621 sparing 9
## 49622 sparingly 9
## 49623 speakerphone 9
## 49624 specification 9
## 49625 speck 9
## 49626 spencerport 9
## 49627 spendy 9
## 49628 spiderweb 9
## 49629 spielman 9
## 49630 spikey 9
## 49631 spiller 9
## 49632 spinny 9
## 49633 splinters 9
## 49634 splurged 9
## 49635 sporadically 9
## 49636 sporks 9
## 49637 sprawling 9
## 49638 springdale 9
## 49639 springing 9
## 49640 sprinted 9
## 49641 sps 9
## 49642 squaw 9
## 49643 squirting 9
## 49644 ssac 9
## 49645 sss 9
## 49646 ssx 9
## 49647 stabilization 9
## 49648 stackin 9
## 49649 stagger 9
## 49650 stakeholder 9
## 49651 standardize 9
## 49652 startingup 9
## 49653 startupscos 9
## 49654 staunch 9
## 49655 steeling 9
## 49656 stepchild 9
## 49657 stephenie 9
## 49658 stephenking 9
## 49659 stephenville 9
## 49660 stereotyped 9
## 49661 stevies 9
## 49662 stewards 9
## 49663 stickler 9
## 49664 stifled 9
## 49665 stimpy 9
## 49666 stimulant 9
## 49667 stimuli 9
## 49668 stirfry 9
## 49669 stockpiling 9
## 49670 stomachache 9
## 49671 stompin 9
## 49672 stoplights 9
## 49673 stopp 9
## 49674 stork 9
## 49675 storytimes 9
## 49676 straddle 9
## 49677 strangeclouds 9
## 49678 strappy 9
## 49679 stratus 9
## 49680 streaky 9
## 49681 streetlight 9
## 49682 streetwear 9
## 49683 stricter 9
## 49684 strumming 9
## 49685 strunk 9
## 49686 studentloans 9
## 49687 stuffabus 9
## 49688 stunted 9
## 49689 stuy 9
## 49690 subculture 9
## 49691 successive 9
## 49692 suckk 9
## 49693 sucksi 9
## 49694 suhsd 9
## 49695 suitbubble 9
## 49696 suks 9
## 49697 sulia 9
## 49698 sulk 9
## 49699 sultans 9
## 49700 summercamp 9
## 49701 summerlike 9
## 49702 summerslam 9
## 49703 sumpin 9
## 49704 sumptuous 9
## 49705 sunbeam 9
## 49706 sundried 9
## 49707 sunflowers 9
## 49708 sunnies 9
## 49709 sunnydale 9
## 49710 sunnyside 9
## 49711 sunoco 9
## 49712 sunrises 9
## 49713 superartfight 9
## 49714 superbass 9
## 49715 superbowls 9
## 49716 supercuts 9
## 49717 superexcited 9
## 49718 supergirl 9
## 49719 supermodels 9
## 49720 supras 9
## 49721 surefire 9
## 49722 surrealist 9
## 49723 sustainably 9
## 49724 svelte 9
## 49725 swaglife 9
## 49726 swahili 9
## 49727 swain 9
## 49728 swang 9
## 49729 swatter 9
## 49730 sways 9
## 49731 sweettooth 9
## 49732 symphonies 9
## 49733 synapses 9
## 49734 syscon 9
## 49735 syttd 9
## 49736 szentgyorgyi 9
## 49737 tabled 9
## 49738 tacitus 9
## 49739 tacks 9
## 49740 tahrir 9
## 49741 taiko 9
## 49742 taime 9
## 49743 talentdividend 9
## 49744 talkd 9
## 49745 tallboys 9
## 49746 tamagotchi 9
## 49747 tamia 9
## 49748 tammie 9
## 49749 tapioca 9
## 49750 tards 9
## 49751 tariq 9
## 49752 tartare 9
## 49753 tarter 9
## 49754 tasking 9
## 49755 tassel 9
## 49756 tati 9
## 49757 tattoomusic 9
## 49758 taverna 9
## 49759 tayler 9
## 49760 taze 9
## 49761 tbe 9
## 49762 tbird 9
## 49763 tbri 9
## 49764 tcap 9
## 49765 teahouse 9
## 49766 teamand 9
## 49767 teamfolloowback 9
## 49768 teamlakers 9
## 49769 teamtaurus 9
## 49770 teamxtina 9
## 49771 tearjerker 9
## 49772 teaspoons 9
## 49773 techmunch 9
## 49774 technologist 9
## 49775 technologists 9
## 49776 tedxhuntsville 9
## 49777 teilhard 9
## 49778 tejon 9
## 49779 telekinesis 9
## 49780 telemarketing 9
## 49781 teleporter 9
## 49782 telltale 9
## 49783 telluride 9
## 49784 templeton 9
## 49785 tempranillo 9
## 49786 tendonitis 9
## 49787 terrestrial 9
## 49788 terrificthursday 9
## 49789 terrorize 9
## 49790 terrorized 9
## 49791 testy 9
## 49792 tetralogy 9
## 49793 tgifridays 9
## 49794 thankyous 9
## 49795 thankyouverymuch 9
## 49796 thatcampers 9
## 49797 thatcampgames 9
## 49798 thatjust 9
## 49799 thatss 9
## 49800 thawing 9
## 49801 theatresports 9
## 49802 thebestpartofmydaywas 9
## 49803 thebestthing 9
## 49804 thebigbangtheory 9
## 49805 theblindmannmcom 9
## 49806 theclientlist 9
## 49807 thei 9
## 49808 themand 9
## 49809 themlol 9
## 49810 theni 9
## 49811 theos 9
## 49812 therelol 9
## 49813 thesingoff 9
## 49814 thetalk 9
## 49815 thewife 9
## 49816 thierry 9
## 49817 thigpen 9
## 49818 thingg 9
## 49819 thinglol 9
## 49820 thingsbut 9
## 49821 thingsi 9
## 49822 thingsilovetosee 9
## 49823 thingsisaywhilereadingmytl 9
## 49824 thingspeopledothatgetonmynerves 9
## 49825 thingsyoudontdoduringsex 9
## 49826 thingz 9
## 49827 thinkpad 9
## 49828 thinnest 9
## 49829 thisamericanlife 9
## 49830 tholol 9
## 49831 thosethreewords 9
## 49832 thoughp 9
## 49833 thousandth 9
## 49834 throttling 9
## 49835 throughs 9
## 49836 thrus 9
## 49837 thuggery 9
## 49838 thun 9
## 49839 thunderous 9
## 49840 thursfri 9
## 49841 tickin 9
## 49842 tiedye 9
## 49843 tigerwoods 9
## 49844 timeand 9
## 49845 timert 9
## 49846 tincaps 9
## 49847 tittle 9
## 49848 tke 9
## 49849 tlg 9
## 49850 toady 9
## 49851 toasters 9
## 49852 todayhe 9
## 49853 todayhope 9
## 49854 todayhow 9
## 49855 todaynow 9
## 49856 todaywho 9
## 49857 todaywish 9
## 49858 toddies 9
## 49859 tol 9
## 49860 tollation 9
## 49861 tomaro 9
## 49862 tomatos 9
## 49863 tomrrw 9
## 49864 tongs 9
## 49865 tonigh 9
## 49866 tonightif 9
## 49867 tonightlol 9
## 49868 tonightso 9
## 49869 tonyc 9
## 49870 toofunny 9
## 49871 tooyou 9
## 49872 tostada 9
## 49873 totd 9
## 49874 touchtunes 9
## 49875 tourettes 9
## 49876 tournies 9
## 49877 tozer 9
## 49878 trackin 9
## 49879 tradeoffs 9
## 49880 trafford 9
## 49881 trainspotting 9
## 49882 tramon 9
## 49883 trane 9
## 49884 transferable 9
## 49885 transfusion 9
## 49886 transliteracy 9
## 49887 trapping 9
## 49888 traveltip 9
## 49889 travers 9
## 49890 travertine 9
## 49891 trb 9
## 49892 trendin 9
## 49893 triathletes 9
## 49894 tribecon 9
## 49895 trickier 9
## 49896 trickin 9
## 49897 trimmer 9
## 49898 tringled 9
## 49899 trippn 9
## 49900 tritip 9
## 49901 tro 9
## 49902 trombonist 9
## 49903 truebieberfans 9
## 49904 trues 9
## 49905 truetwit 9
## 49906 truewe 9
## 49907 trully 9
## 49908 truuuu 9
## 49909 tryst 9
## 49910 tse 9
## 49911 tso 9
## 49912 tsunamis 9
## 49913 tueswed 9
## 49914 tumbled 9
## 49915 turducken 9
## 49916 turnkey 9
## 49917 tus 9
## 49918 tustin 9
## 49919 tuttle 9
## 49920 tva 9
## 49921 twa 9
## 49922 tweeds 9
## 49923 tweetdom 9
## 49924 tweetlimit 9
## 49925 twerp 9
## 49926 twinpeaks 9
## 49927 twinsies 9
## 49928 twirls 9
## 49929 twisty 9
## 49930 twitterand 9
## 49931 twitterberry 9
## 49932 twitterd 9
## 49933 twitterim 9
## 49934 twittertools 9
## 49935 twizzler 9
## 49936 twoout 9
## 49937 twts 9
## 49938 typist 9
## 49939 tyrell 9
## 49940 tyvek 9
## 49941 tz 9
## 49942 uaw 9
## 49943 ucc 9
## 49944 ucdavis 9
## 49945 uco 9
## 49946 udc 9
## 49947 ugc 9
## 49948 uggghh 9
## 49949 uhi 9
## 49950 uhp 9
## 49951 uhsb 9
## 49952 uhuh 9
## 49953 uiuc 9
## 49954 uli 9
## 49955 ulterior 9
## 49956 ultima 9
## 49957 ultralounge 9
## 49958 umwhat 9
## 49959 umy 9
## 49960 unaffiliated 9
## 49961 uncharacteristic 9
## 49962 uncompromising 9
## 49963 unconscionable 9
## 49964 underbelly 9
## 49965 undercooked 9
## 49966 underfunded 9
## 49967 understandings 9
## 49968 understudy 9
## 49969 undetected 9
## 49970 undressed 9
## 49971 unearth 9
## 49972 unexamined 9
## 49973 unfilled 9
## 49974 unfolded 9
## 49975 unforgiveness 9
## 49976 unforgiving 9
## 49977 unfort 9
## 49978 unfounded 9
## 49979 uniformly 9
## 49980 unionized 9
## 49981 unlikable 9
## 49982 unlvmbb 9
## 49983 unnaturally 9
## 49984 unprocessed 9
## 49985 unprovoked 9
## 49986 unr 9
## 49987 unraveling 9
## 49988 unscientific 9
## 49989 unseasonably 9
## 49990 unskilled 9
## 49991 untangling 9
## 49992 unzipped 9
## 49993 upc 9
## 49994 upcycled 9
## 49995 upd 9
## 49996 upeian 9
## 49997 upland 9
## 49998 upnow 9
## 49999 uppercut 9
## [ reached 'max' / getOption("max.print") -- omitted 429586 rows ]The most frequent words which are function words and do not add much to the meaning overall and are not useful for analysis. Therefore function words which are also known as stopwords are removed. The list will be inspected further without stopwords.
#create table without stopwords
wfreq_wostop <- wfreq %>%
anti_join(tidytext::stop_words, by = "word") %>%
dplyr::filter(word != "")
wfreq_wostop## word frequency
## 1 im 158562
## 2 love 105589
## 3 dont 90106
## 4 day 90061
## 5 rt 88706
## 6 time 74697
## 7 lol 66708
## 8 people 51495
## 9 happy 48544
## 10 follow 47326
## 11 tonight 43863
## 12 night 40340
## 13 youre 38961
## 14 hope 35017
## 15 life 33058
## 16 ill 32818
## 17 game 29905
## 18 twitter 29883
## 19 week 28456
## 20 tomorrow 27984
## 21 wait 26678
## 22 haha 26606
## 23 morning 26000
## 24 hey 25550
## 25 awesome 24523
## 26 feel 24450
## 27 home 24093
## 28 ive 23785
## 29 fun 22755
## 30 weekend 22242
## 31 nice 22128
## 32 gonna 21611
## 33 yeah 21303
## 34 guys 21029
## 35 didnt 20849
## 36 school 20638
## 37 bad 20600
## 38 world 20548
## 39 free 20344
## 40 check 20003
## 41 miss 19901
## 42 live 19569
## 43 watching 19539
## 44 tweet 19447
## 45 amazing 19322
## 46 music 19148
## 47 call 18980
## 48 coming 18917
## 49 days 18749
## 50 friends 18703
## 51 whats 18653
## 52 pm 18573
## 53 hate 18315
## 54 stop 18248
## 55 start 17430
## 56 girl 17355
## 57 ready 17221
## 58 shit 17110
## 59 cool 16874
## 60 play 16719
## 61 watch 16653
## 62 pretty 16651
## 63 god 16631
## 64 birthday 16260
## 65 real 16232
## 66 win 16033
## 67 talk 16016
## 68 excited 15573
## 69 friday 15269
## 70 hear 15189
## 71 hard 14987
## 72 ur 14713
## 73 doesnt 14599
## 74 team 14509
## 75 wanna 14230
## 76 makes 14074
## 77 glad 13996
## 78 hes 13910
## 79 house 13515
## 80 forward 13454
## 81 beautiful 13437
## 82 lot 13436
## 83 ya 13367
## 84 job 13096
## 85 true 12985
## 86 party 12983
## 87 sleep 12969
## 88 st 12963
## 89 wow 12907
## 90 friend 12763
## 91 song 12673
## 92 id 12598
## 93 guy 12565
## 94 favorite 12499
## 95 ass 12223
## 96 fuck 12074
## 97 food 11883
## 98 stay 11833
## 99 person 11818
## 100 book 11780
## 101 read 11714
## 102 family 11643
## 103 damn 11618
## 104 class 11584
## 105 phone 11534
## 106 hit 11470
## 107 money 11360
## 108 omg 11343
## 109 congrats 11269
## 110 mom 11125
## 111 movie 11020
## 112 gotta 10966
## 113 baby 10950
## 114 guess 10944
## 115 playing 10907
## 116 wont 10897
## 117 kids 10717
## 118 video 10695
## 119 hell 10648
## 120 change 10627
## 121 season 10618
## 122 news 10606
## 123 crazy 10576
## 124 hot 10537
## 125 support 10453
## 126 run 10446
## 127 sounds 10424
## 128 talking 10364
## 129 remember 10344
## 130 head 10303
## 131 finally 10295
## 132 email 10291
## 133 funny 10207
## 134 meet 10172
## 135 summer 10146
## 136 followers 10143
## 137 left 10141
## 138 isnt 10040
## 139 enjoy 10031
## 140 stuff 10012
## 141 havent 9922
## 142 thinking 9870
## 143 times 9719
## 144 city 9681
## 145 word 9613
## 146 hours 9609
## 147 luck 9555
## 148 mind 9518
## 149 facebook 9329
## 150 care 9309
## 151 tweets 9242
## 152 heart 9211
## 153 heard 9146
## 154 girls 9136
## 155 ha 9045
## 156 send 9027
## 157 fan 8911
## 158 business 8890
## 159 bring 8830
## 160 idea 8759
## 161 wrong 8668
## 162 car 8622
## 163 hour 8617
## 164 saturday 8604
## 165 feeling 8598
## 166 eat 8582
## 167 fans 8557
## 168 sunday 8496
## 169 buy 8484
## 170 bed 8428
## 171 sweet 8307
## 172 late 8262
## 173 hair 8231
## 174 dude 8198
## 175 theyre 8110
## 176 post 8105
## 177 taking 8095
## 178 meeting 8092
## 179 la 8047
## 180 found 8043
## 181 social 7919
## 182 bitch 7914
## 183 event 7884
## 184 aint 7875
## 185 story 7825
## 186 super 7815
## 187 yall 7758
## 188 monday 7749
## 189 sad 7694
## 190 listening 7688
## 191 lmao 7667
## 192 perfect 7652
## 193 black 7641
## 194 top 7641
## 195 shes 7625
## 196 lunch 7617
## 197 tv 7610
## 198 bro 7607
## 199 break 7560
## 200 yesterday 7540
## 201 reading 7498
## 202 called 7483
## 203 forget 7482
## 204 told 7461
## 205 join 7417
## 206 coffee 7398
## 207 rock 7385
## 208 lost 7376
## 209 set 7353
## 210 games 7352
## 211 text 7333
## 212 waiting 7217
## 213 fucking 7215
## 214 dinner 7193
## 215 special 7189
## 216 media 7058
## 217 leave 6984
## 218 words 6932
## 219 weeks 6923
## 220 minutes 6913
## 221 weather 6906
## 222 starting 6884
## 223 cute 6880
## 224 red 6876
## 225 boy 6824
## 226 learn 6821
## 227 agree 6785
## 228 youll 6778
## 229 half 6766
## 230 moment 6738
## 231 line 6735
## 232 bout 6668
## 233 mothers 6666
## 234 started 6654
## 235 tired 6643
## 236 month 6599
## 237 move 6592
## 238 white 6565
## 239 question 6517
## 240 missed 6439
## 241 drink 6432
## 242 loved 6424
## 243 totally 6391
## 244 wasnt 6352
## 245 pick 6340
## 246 chance 6303
## 247 list 6296
## 248 online 6291
## 249 yo 6284
## 250 office 6275
## 251 women 6257
## 252 beer 6255
## 253 hahaha 6254
## 254 happen 6247
## 255 sick 6203
## 256 wonderful 6173
## 257 close 6165
## 258 bit 6152
## 259 page 6122
## 260 listen 6120
## 261 means 6110
## 262 ago 6063
## 263 chicago 6042
## 264 future 6024
## 265 tickets 6022
## 266 lots 6021
## 267 fall 6014
## 268 running 6006
## 269 yea 5993
## 270 info 5908
## 271 reason 5883
## 272 walk 5874
## 273 students 5835
## 274 ah 5813
## 275 rest 5787
## 276 past 5752
## 277 dog 5742
## 278 whos 5741
## 279 visit 5729
## 280 worth 5687
## 281 mine 5680
## 282 christmas 5670
## 283 rain 5665
## 284 dream 5655
## 285 plan 5639
## 286 proud 5618
## 287 art 5615
## 288 boys 5612
## 289 site 5596
## 290 beat 5589
## 291 till 5576
## 292 mad 5571
## 293 ff 5566
## 294 dance 5561
## 295 writing 5557
## 296 share 5546
## 297 stupid 5541
## 298 spring 5482
## 299 busy 5478
## 300 dm 5465
## 301 austin 5436
## 302 college 5417
## 303 ugh 5403
## 304 youve 5378
## 305 cold 5367
## 306 power 5365
## 307 service 5358
## 308 pay 5346
## 309 understand 5315
## 310 blog 5306
## 311 trip 5293
## 312 easy 5251
## 313 drive 5250
## 314 park 5247
## 315 yay 5245
## 316 deal 5234
## 317 tho 5210
## 318 wouldnt 5209
## 319 ppl 5190
## 320 giving 5187
## 321 club 5162
## 322 website 5155
## 323 bar 5152
## 324 couldnt 5140
## 325 single 5132
## 326 huge 5123
## 327 thx 5099
## 328 cuz 5087
## 329 success 5083
## 330 water 5080
## 331 kid 5075
## 332 matter 5061
## 333 san 5058
## 334 finished 5014
## 335 app 4999
## 336 dear 4993
## 337 voice 4971
## 338 weird 4964
## 339 sound 4933
## 340 account 4930
## 341 shout 4928
## 342 town 4921
## 343 green 4909
## 344 nyc 4886
## 345 thursday 4886
## 346 fine 4884
## 347 band 4875
## 348 arent 4859
## 349 project 4858
## 350 lady 4832
## 351 eyes 4831
## 352 film 4831
## 353 woman 4827
## 354 write 4761
## 355 experience 4754
## 356 couple 4750
## 357 john 4750
## 358 date 4723
## 359 dead 4705
## 360 american 4699
## 361 tweeting 4698
## 362 catch 4683
## 363 mention 4681
## 364 dad 4679
## 365 em 4679
## 366 fight 4674
## 367 wine 4669
## 368 series 4659
## 369 safe 4657
## 370 living 4656
## 371 store 4655
## 372 dc 4654
## 373 final 4653
## 374 google 4639
## 375 picture 4637
## 376 fire 4636
## 377 forever 4636
## 378 won 4626
## 379 street 4615
## 380 body 4609
## 381 sign 4607
## 382 lose 4597
## 383 conference 4581
## 384 books 4575
## 385 eating 4560
## 386 anymore 4552
## 387 history 4542
## 388 fast 4539
## 389 happened 4514
## 390 radio 4512
## 391 library 4505
## 392 wit 4503
## 393 bet 4492
## 394 local 4488
## 395 smile 4487
## 396 starts 4478
## 397 shot 4472
## 398 wear 4472
## 399 die 4466
## 400 add 4458
## 401 hand 4442
## 402 months 4437
## 403 kinda 4435
## 404 album 4418
## 405 sun 4398
## 406 sucks 4391
## 407 short 4364
## 408 public 4349
## 409 vote 4342
## 410 light 4340
## 411 april 4338
## 412 learning 4327
## 413 cut 4324
## 414 worst 4307
## 415 center 4304
## 416 stand 4300
## 417 answer 4285
## 418 feels 4277
## 419 da 4263
## 420 save 4260
## 421 tour 4243
## 422 songs 4231
## 423 brother 4187
## 424 loving 4174
## 425 moving 4162
## 426 company 4147
## 427 link 4138
## 428 met 4124
## 429 hold 4115
## 430 message 4107
## 431 takes 4104
## 432 justin 4094
## 433 pic 4092
## 434 community 4087
## 435 smh 4081
## 436 heading 4073
## 437 tuesday 4073
## 438 nigga 4070
## 439 blue 4067
## 440 fb 4066
## 441 country 4061
## 442 sitting 4059
## 443 national 4056
## 444 shoot 4054
## 445 hurt 4048
## 446 lucky 4048
## 447 dreams 4047
## 448 front 4039
## 449 todays 4038
## 450 football 4037
## 451 folks 4025
## 452 beach 3988
## 453 concert 3973
## 454 ball 3970
## 455 breakfast 3967
## 456 played 3957
## 457 sharing 3956
## 458 forgot 3945
## 459 iphone 3944
## 460 ideas 3939
## 461 road 3928
## 462 act 3925
## 463 wearing 3920
## 464 ice 3913
## 465 loves 3903
## 466 ride 3894
## 467 bored 3893
## 468 watched 3891
## 469 sports 3890
## 470 rip 3886
## 471 questions 3879
## 472 afternoon 3874
## 473 son 3872
## 474 enjoyed 3832
## 475 record 3823
## 476 absolutely 3813
## 477 obama 3803
## 478 speak 3801
## 479 heat 3800
## 480 sex 3794
## 481 gift 3791
## 482 session 3787
## 483 hoping 3782
## 484 strong 3782
## 485 air 3781
## 486 pass 3767
## 487 contact 3760
## 488 parents 3738
## 489 wake 3727
## 490 pizza 3724
## 491 ladies 3720
## 492 cover 3717
## 493 lil 3711
## 494 test 3709
## 495 kill 3707
## 496 truth 3703
## 497 hang 3697
## 498 vegas 3697
## 499 trust 3694
## 500 sexy 3681
## 501 interview 3672
## 502 paper 3672
## 503 missing 3669
## 504 weve 3650
## 505 gym 3615
## 506 congratulations 3613
## 507 star 3605
## 508 bought 3601
## 509 sister 3588
## 510 bc 3581
## 511 miami 3578
## 512 march 3555
## 513 enjoying 3548
## 514 wednesday 3546
## 515 west 3536
## 516 snow 3530
## 517 health 3522
## 518 market 3517
## 519 bus 3511
## 520 wife 3511
## 521 realize 3503
## 522 movies 3501
## 523 plans 3498
## 524 retweet 3481
## 525 internet 3480
## 526 spend 3473
## 527 program 3464
## 528 million 3457
## 529 holiday 3448
## 530 america 3434
## 531 laugh 3430
## 532 finish 3429
## 533 chocolate 3416
## 534 sense 3403
## 535 goal 3402
## 536 inside 3401
## 537 june 3397
## 538 lead 3392
## 539 wtf 3387
## 540 design 3385
## 541 round 3382
## 542 evening 3378
## 543 fantastic 3377
## 544 door 3376
## 545 studio 3369
## 546 suck 3366
## 547 gay 3362
## 548 tip 3361
## 549 mother 3352
## 550 details 3340
## 551 hands 3338
## 552 chris 3337
## 553 baseball 3336
## 554 driving 3310
## 555 ny 3310
## 556 yep 3308
## 557 straight 3306
## 558 practice 3299
## 559 south 3294
## 560 chicken 3280
## 561 episode 3278
## 562 step 3271
## 563 mt 3264
## 564 cry 3257
## 565 marketing 3244
## 566 winning 3236
## 567 fat 3235
## 568 training 3235
## 569 card 3233
## 570 awkward 3232
## 571 xd 3231
## 572 boston 3230
## 573 data 3226
## 574 walking 3224
## 575 minute 3223
## 576 shut 3223
## 577 exciting 3219
## 578 til 3218
## 579 article 3214
## 580 everyday 3200
## 581 bill 3196
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## 49172 thingsyoudontdoduringsex 9
## 49173 thingz 9
## 49174 thinkpad 9
## 49175 thinnest 9
## 49176 thisamericanlife 9
## 49177 tholol 9
## 49178 thosethreewords 9
## 49179 thoughp 9
## 49180 thousandth 9
## 49181 throttling 9
## 49182 throughs 9
## 49183 thrus 9
## 49184 thuggery 9
## 49185 thun 9
## 49186 thunderous 9
## 49187 thursfri 9
## 49188 tickin 9
## 49189 tiedye 9
## 49190 tigerwoods 9
## 49191 timeand 9
## 49192 timert 9
## 49193 tincaps 9
## 49194 tittle 9
## 49195 tke 9
## 49196 tlg 9
## 49197 toady 9
## 49198 toasters 9
## 49199 todayhe 9
## 49200 todayhope 9
## 49201 todayhow 9
## 49202 todaynow 9
## 49203 todaywho 9
## 49204 todaywish 9
## 49205 toddies 9
## 49206 tol 9
## 49207 tollation 9
## 49208 tomaro 9
## 49209 tomatos 9
## 49210 tomrrw 9
## 49211 tongs 9
## 49212 tonigh 9
## 49213 tonightif 9
## 49214 tonightlol 9
## 49215 tonightso 9
## 49216 tonyc 9
## 49217 toofunny 9
## 49218 tooyou 9
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## 49220 totd 9
## 49221 touchtunes 9
## 49222 tourettes 9
## 49223 tournies 9
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## 49225 trackin 9
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## 49227 trafford 9
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## 49246 trippn 9
## 49247 tritip 9
## 49248 tro 9
## 49249 trombonist 9
## 49250 truebieberfans 9
## 49251 trues 9
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## 49254 trully 9
## 49255 truuuu 9
## 49256 tryst 9
## 49257 tse 9
## 49258 tso 9
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## 49263 turnkey 9
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## 49267 tva 9
## 49268 twa 9
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## 49270 tweetdom 9
## 49271 tweetlimit 9
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## 49273 twinpeaks 9
## 49274 twinsies 9
## 49275 twirls 9
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## 49277 twitterand 9
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## 49279 twitterd 9
## 49280 twitterim 9
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## 49991 boomgarden 8
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## 49995 booz 8
## 49996 boppo 8
## 49997 borel 8
## 49998 boricua 8
## 49999 bornday 8
## [ reached 'max' / getOption("max.print") -- omitted 428918 rows ]To visualize the word frequency list in bar graphs for more visual appeal.
wfreq_wostop %>%
head(10) %>%
ggplot(aes(x = reorder(word, -frequency, mean), y = frequency))+
geom_bar(stat = "identity")+
labs(title = "Top 10 most frequent non-stop wordss in the text", x = "")+
theme(axis.text = element_text(angle = 45, size = 12, hjust = 1))