0.005047303 -0.29342884 0.005278671 0.00014584139 0.40404624 0.020817272 0.28498214 0.53955936 0.44796517 -0.14288425 -0.2731123 0.0824141 -0.20371783 -0.092091314 -0.05654949 -0.06106907 0.010174885 -0.13985318 -0.03236424 -0.3334483 0.17008802 0.062115207 -0.36409843 -0.22273128 -0.08940501 0.17921673 0.31165832 -0.5382868 -0.25462434 -0.14523152 0.36580807 0.3692611 -0.1041741 -0.268215 -0.077297136 -0.021528684 -0.53098226 0.39914465 -0.439054 0.24686185 0.14840491 -0.07915246 -0.4347065 -0.09204535 0.21390319 0.14808948 0.19333318 0.076769434 0.22860432 0.062158406 0.6361171 -0.15067463 0.10879333 -0.6923567 0.2945183 0.19525354 0.49374312 0.08048985 0.14420861 -0.07216152 0.42716056 -0.41636664 0.15701298 -0.11823857
Word Correlation
rail 0.8172094
stations 0.7362819
railways 0.7356427
transit 0.7263234
station 0.7219325
trains 0.71294945
sureshpprabhu 0.64845365
transport 0.6426257
central 0.61904734
construction 0.6088493
train 0.6076815
corridor 0.60758984
railminindia 0.59047794
cargo 0.5880024
highway 0.5864821
charter 0.58237207
amtrak 0.57301813
residential 0.5725502
fleet 0.57015896
tram 0.5686077
maritime 0.5680414
route 0.56717205
bridge 0.56716233
waterloo 0.56707364
railroad 0.5658341
depot 0.5613571
mta 0.5612921
brunswick 0.56054926
freight 0.5535603
missions 0.5524475
underground 0.5505178
metro 0.5505115
region 0.5504153
road 0.5496827
centre 0.54907966
motor 0.5466285
ambulance 0.5462318
shuttle 0.5450343
east 0.54384387
battersea 0.5433686
building 0.54237753
buses 0.5411781
residence 0.5401486
hgv 0.5388672
south 0.53885275
apartments 0.538032
aircraft 0.5369886
docking 0.5359722
vehicle 0.5341627