Distinctive words used by CAMERON, Ewen during the 1970s

Words TF-IDF score
adr27a 0.0894435092115
indi 0.0860292966233
marquand 0.0814701447034
photochemical 0.0812513595944
locust 0.0801793182573
powering 0.0762182237647
lpg 0.0761392930445
emission 0.0756244535208
brooklyn 0.0751523062223
burr 0.0732442765052
oxides 0.0723160157455
skiing 0.0706509632229
emissions 0.0699540959066
insecticide 0.0698428644356
weeds 0.0674866042117
motorised 0.0665557772785
yarrawonga 0.0665557772785
smog 0.0660029795037
isaac 0.0644716121176
plague 0.0637037236402
carbonmonoxide 0.0629546606287
deflectors 0.0629546606287
forstall 0.0629546606287
mokoan 0.0629546606287
nillahcootie 0.0629546606287
tradename 0.0629546606287
receivership 0.0627882308657
27a 0.0622581516844
diesel 0.061901155129
receivers 0.0617198325145
adr 0.0598317817424
hydrocarbons 0.0594365031887
carcass 0.0590845154821
alfredson 0.0565646777585
hilliard 0.0565646777585
mcneilage 0.0565646777585
myrtleford 0.0565646777585
rendle 0.0565646777585
retraint 0.0565646777585
pollutants 0.0564327678599
gorman 0.055736595798
mountainous 0.0545798608038
bathurst 0.0537366386842
397m 0.0528267773992
eildon 0.0528267773992
euroa 0.0528267773992
prothonotary 0.0528267773992
snowfalls 0.0528267773992
std 0.0525856639623
emitted 0.0515493223919
biological 0.0503019004977
bogong 0.0501746948883
cng 0.0501746948883
kinglake 0.0501746948883
mulwala 0.0501746948883
nitrogen 0.0496487216354
smart 0.0495132740059
buffalo 0.049012600262
automobile 0.0489203072145
demographic 0.048588364232
cresco 0.0481175798766
haze 0.0481175798766
graziers 0.0479701013366
curse 0.0475249246843
government 0.0472236365365
fuel 0.0466816372294
insects 0.0464954013109
thirteenth 0.0464954013109
automate 0.046436794529
biographer 0.046436794529
indusry 0.046436794529
operative 0.0460748985252
industry 0.0459758668542
atmospheres 0.0450157107662
overstressed 0.0450157107662
operatives 0.0447268952265
dairy 0.0441006318819
enthralled 0.0437847120181
gilmore 0.0437847120181
idling 0.0437847120181
victorian 0.0437135318089
vehicles 0.0436180010445
isaacs 0.042980044398
victoria 0.0429726922001
minister 0.0428788928043
247m 0.0426988941697
buller 0.0426988941697
legations 0.0426988941697
livestock 0.0426438492626
australia 0.0426169841804
meat 0.0420623273041
ceramics 0.0417275970064
protean 0.0417275970064
vehicle 0.04153122731
classification 0.0413995225937
bank 0.0412015756522
primary 0.0411294779969
weed 0.0409613863183
spears 0.040848951845
australian 0.0406180344707
telecom 0.0402958664988
tourist 0.0401750565296
meteorological 0.0400562760017
bonegilla 0.0400468116588
foundries 0.0400468116588
heffernan 0.0400468116588
mr 0.0398360850477
house 0.0396664639276
subscribers 0.0394216284536
bendigo 0.0391377695172
fuels 0.0391377695172
trunk 0.0391377695172
pastoral 0.0390893316146
energy 0.0389998703887
wagga 0.0389940445018
farmers 0.0387102983706
bends 0.038625727896
jolted 0.038625727896
overemphasised 0.038625727896
syphoned 0.038625727896
motorists 0.0383984878374
rural 0.0382615340967
carbon 0.0381934187815
mac 0.0379896966471
precipitation 0.0379896966471
state 0.0379494863309
powered 0.0375054055952
185m 0.037394729148
time 0.037381569266
controls 0.0373517971679
terrain 0.0372471424292
pollution 0.0372316327036
new 0.0371194443701
country 0.0369352088952
holten 0.0368841311966
265m 0.0368358430906
lakes 0.0363549693529
australiaand 0.0363089112995
plotted 0.0363089112995
aidc 0.0361824948967
hamer 0.0361122841636
great 0.0360727470332
control 0.036028397657
networks 0.0358431602396
508m 0.035810476584
people 0.0357558156341
shareholders 0.0356469152712
industries 0.0354768745469
producers 0.0354547081722
program 0.0353938888311
environmentalist 0.0353376141362
use 0.0352042471246
liquid 0.0351504364353
gas 0.035077253585
member 0.0348948897139
motorist 0.0348672937752
abattoirs 0.0347104202993
honourable 0.034486720559
pivot 0.0344589689749
decentralised 0.0344556809375
particularly 0.0344477223919
states 0.0342456270257
benalla 0.0340491772173
hops 0.0340491772173
knighted 0.0340491772173
farmer 0.0338805530935
producer 0.0338570139937
boundary 0.0336893270342
available 0.0336470690973
cooperative 0.0335702701673
automotive 0.0335091523805
metres 0.0335091523805
densities 0.0332804991245
motor 0.0332621046624
csiro 0.0331012367756
ballarat 0.0330814878348
major 0.0329312424579
alexandra 0.0329189313475
atac 0.0329189313475
upswing 0.0329189313475
good 0.0328916018393
present 0.0328916018393
beef 0.0328390104447
boating 0.0325710109402
local 0.0325457052172
corporation 0.0324838531651
cent 0.0324500577982
health 0.0324500577982
important 0.0324500577982
chartered 0.0323937651707
paterson 0.0322597834084
consumption 0.0322479486543
grain 0.0321959638085
transport 0.0320075286916
estimates 0.0319133599413
hatch 0.0319122452862
national 0.0318822264419
fertiliser 0.031735069144
areas 0.0317260549436
years 0.031695213914