0.16022468 -0.3322155 0.4880663 0.5919719 0.49978983 0.013376761 0.22785966 0.4338162 0.050374508 -0.4585508 -0.8893542 0.17670545 0.15645608 0.2589025 -0.16307272 -0.38716477 0.9695271 0.40378606 -0.2733289 -0.3871388 0.68444353 0.30086407 0.25253436 -0.18103841 -0.23848438 -0.020862736 0.22937945 -0.103319146 -0.6092937 0.12447468 0.12190253 0.02276254 -0.045603067 -0.017958283 -0.18310863 -0.3646509 -0.34387594 0.067512944 -0.5199117 0.30153736 0.2706443 -0.0040823463 -0.56484544 0.21908225 0.094060004 0.011422137 0.32813522 0.22344097 0.29340887 -0.23333272 -0.3750915 0.47495824 0.3248231 -0.66562575 0.24828494 0.15875666 0.3436457 -0.28639957 0.069290675 -0.11795746 0.19327596 0.55127656 0.16112223 -0.15860167
Word Correlation
plane 0.7524565
landed 0.74491525
passengers 0.6903749
airline 0.6902708
attendants 0.6902705
airlines 0.68457663
airport 0.68239176
passenger 0.6798686
flights 0.6795311
arrival 0.6660922
log 0.66045123
attendant 0.65897065
delayed 0.657357
arrived 0.65176064
pilot 0.6376874
overbooked 0.62667185
safely 0.623577
americanair 0.6207473
boarding 0.6187519
departure 0.61800873
delta 0.6174006
boarded 0.6065336
station 0.6053417
turbulence 0.5977757
taken 0.59327316
✈️ 0.5928976
ticket 0.5926317
aircraft 0.58685803
helicopter 0.5852782
flying 0.58488935
mrveasy 0.58324474
store 0.58073545
trains 0.5750141
train 0.57191825
overhead 0.571456
unitedairlines 0.57115775
flew 0.56971514
3411 0.5678015
sold 0.56726253
alubarna 0.56215394
tokyo 0.56085795
southwestair 0.5597359
lands 0.5577487
car 0.5575527
commercial 0.5560412
aboard 0.548438
singapore 0.5478619
united 0.54748
dragged 0.54703456