Distinctive words used by ANTHONY, Doug during the 1970s

Words TF-IDF score
icas 0.036094972206
mku 0.0302881636231
mtn 0.0284953463051
cheshev 0.0274149920052
ukata 0.0274149920052
efic 0.0271511056818
restitutions 0.027017080893
woronora 0.0249863064891
nafta 0.0248411267427
agl 0.0241954852504
shipper 0.0240010985356
caseaus 0.0234333371314
cobdogla 0.0229363816822
lochinver 0.0229363816822
roxbury 0.0229363816822
bergland 0.0227298472158
woodsreef 0.0221460104927
trillion 0.0220433432815
wheats 0.0219669208164
informer 0.0219065268334
unctad 0.0218896269481
adenitis 0.0218848181129
cardinia 0.0218848181129
naphtha 0.0218175971236
koongarra 0.0214394987694
ez 0.0213397238948
gundelach 0.0212209735385
tanabe 0.0212209735385
souter 0.0209967400491
countercyclical 0.020891288296
cherries 0.0208454858527
cambodians 0.0208338991843
eec 0.0207047313099
renold 0.0206947142401
duboisia 0.0206083080401
iga 0.0206083080401
gatt 0.0205661586608
disinfestation 0.0203927543616
blowering 0.0201535324129
stockholding 0.0201535324129
woolgrowing 0.0201535324129
corned 0.0199339148719
lymph 0.0199339148719
showroom 0.0199339148719
ruinously 0.0198350944988
kurri 0.0197981095735
mabon 0.0197981095735
wambo 0.0197981095735
zorn 0.0197981095735
veal 0.0196668321659
peko 0.0196646898118
chilled 0.0196180009253
ranger 0.0195678962672
tinplate 0.0194093392726
petrochemicals 0.0193647492561
stallings 0.0193432036392
alusuisse 0.0192464722606
cysticercus 0.0192464722606
hardin 0.0192464722606
pma 0.0192464722606
thynne 0.0192464722606
tanners 0.0192376073659
solo 0.0190516741228
multilateral 0.0189800565368
barrels 0.0189476306183
scarf 0.0189031922715
nabarlek 0.0187965836771
burmah 0.0187420769864
yeelirrie 0.0186745464573
apc 0.0186513683544
dependable 0.0186513683544
callable 0.0186488877581
bmr 0.01856938549
nebo 0.01856938549
coliban 0.018504928322
dreamsabout 0.018504928322
dreamsand 0.018504928322
e151 0.018504928322
emitters 0.018504928322
hanness 0.018504928322
impassionate 0.018504928322
khai 0.018504928322
konebo 0.018504928322
lupulin 0.018504928322
mcspeerin 0.018504928322
merrimu 0.018504928322
microcuries 0.018504928322
nesses 0.018504928322
pharisaic 0.018504928322
sandang 0.018504928322
tomen 0.018504928322
vase 0.018504928322
vvabco 0.018504928322
norwich 0.0184823221844
duchess 0.0184354752426
coking 0.0184231507294
woodsideburmah 0.0184123249903
kathleen 0.0183653132617
meatworks 0.0183564264299
epic 0.0182880220974
ool 0.0182802343981
ovis 0.0182802343981
poage 0.0182802343981
smashed 0.0182479318377
aidc 0.0182233828091
benalla 0.0182030178226
bushels 0.0181770263504
ioc 0.0181417727105
brined 0.0181389156375
smash 0.0180331224987
californian 0.0179443411068
steaming 0.0179371433273
lng 0.0178074947217
refiners 0.0178022263356
chrysotile 0.0176890883475
millmerran 0.0176890883475
us25m 0.0176890883475
mutton 0.0176215567754
woodside 0.0176117864381
prise 0.0175307620858
silvan 0.0175307620858
snagging 0.0175307620858
cheddar 0.0174136947304
hops 0.0174136947304
radium 0.0174136947304
grains 0.0173135157119
delisted 0.0172867041249
laterals 0.0172867041249
venturers 0.017233539521
representational 0.017213036849
34c 0.0171539784237
smelter 0.0171181843472
drilled 0.0170264505781
gidgealpa 0.0170091588179
groundwater 0.0169403417819
alcan 0.0169227033191
barraba 0.0169227033191
nif 0.0169227033191
brunner 0.0169183986186
icrp 0.0169183986186
restlessness 0.0169183986186
steelmaking 0.0169183986186
noranda 0.0169089536244
redcliffs 0.0168992021196
renouf 0.0168935110942
wholesome 0.0168935110942
yellowcake 0.0168753611961
buffer 0.016847854753
inventors 0.0168356556071
sperm 0.0168356556071
shippers 0.0167797960541
25½c 0.0166266531663
41b 0.0166266531663
ambassadress 0.0166266531663
blantant 0.0166266531663
bool 0.0166266531663
centec 0.0166266531663
gropes 0.0166266531663
hijzen 0.0166266531663
industryhas 0.0166266531663
itembyitem 0.0166266531663
july1978 0.0166266531663
mimicking 0.0166266531663
morang 0.0166266531663
nitrogeneous 0.0166266531663
nong 0.0166266531663
rosiest 0.0166266531663
stagnancy 0.0166266531663
viscera 0.0166266531663
wheatgrowers 0.0165109658994
sus0 0.0164006526843
triggers 0.0164006526843
unmake 0.0164006526843
uppers 0.0164006526843
uranium 0.0163658664587
sugar 0.0163572280644
meats 0.0163393903072
carp 0.0163300647815
iaea 0.016320808401
currants 0.0163123300393
raisins 0.0163123300393
enrichment 0.0163099935513
burston 0.016284704088
hexafluoride 0.016284704088
marauding 0.016284704088
stymied 0.016284704088
proserpine 0.0162766498785
gruen 0.0162226529387
mountbatten 0.0162226529387
casein 0.0161609711086
liberalisation 0.0161464203706
radioactivity 0.0161304158456
tonnages 0.0161304158456
phosphate 0.0161133680303
butterfat 0.0160675989479
canton 0.0160084395545
cheese 0.0160059755321
coveted 0.0159521607561
gruelling 0.0159521607561
interlotting 0.0159521607561