domain data 0.0047512
domain learning 0.0045622
domain classifier 0.00433658
different domain 0.004165591
source domain 0.003999158
target domain 0.003975632
domain adaptation 0.003908186
domain parameters 0.003857995
domain similarity 0.003840912
domain classifiers 0.003833963
single domain 0.003796152
domain distributions 0.003787032
nlp domain 0.003671287
book domain 0.003658277
simple domain 0.003643337
domain systems 0.003624664
domain identifier 0.003591801
domain adap 0.003587277
typical domain 0.003586122
domain adapta 0.003585109
domain deviance 0.003584104
domain subgroups 0.003584104
domain 0.00332694
sentiment data 0.00267939
training data 0.002267869
feature distribution 0.002263825
different data 0.002262911
source data 0.0020964779999999997
target data 0.002072952
sentiment method 0.002010027
feature similarity 0.001967642
test data 0.0019367019999999998
data error 0.0019249269999999999
feature distributions 0.001913762
different features 0.0018528910000000002
user data 0.0018461959999999998
unlabeled data 0.0018114379999999999
feature weights 0.001805187
spam data 0.0017992669999999998
nlp data 0.001768607
classifier parameter 0.001767641
feature split 0.001762104
related data 0.001757231
feature splitting 0.001720588
data sources 0.001707152
timent data 0.001706921
ment data 0.0017041359999999998
development data 0.001689416
transfer learning 0.0016843779999999998
source classifier 0.001681858
different classification 0.001651798
spam sentiment 0.0016301369999999998
source domains 0.001609957
learning settings 0.00158568
learning condition 0.001582235
sentiment clas 0.001575274
model parameters 0.001563305
new model 0.0015344059999999999
ensemble learning 0.001533458
same features 0.001528369
classifier prediction 0.001528139
many domains 0.001521167
new features 0.0015163960000000002
new classifier 0.0015117960000000001
learning scenarios 0.001496011
learning combines 0.0014930669999999998
target training 0.0014923010000000001
single classifier 0.0014788520000000001
feature 0.00145367
shared classifier 0.001446331
new domains 0.001439895
linear classifier 0.0013929020000000001
classifier combination 0.001381665
multiple domains 0.001381008
training instances 0.0013787299999999999
similar domains 0.0013786380000000002
classifier output 0.001349245
ing classifier 0.001347041
training error 0.0013442760000000002
parameter set 0.001342378
method task 0.001319412
combined classifier 0.001314465
classifier map 0.001314146
new distribution 0.001312311
online training 0.0013107750000000001
parameter value 0.0012775899999999999
labeled target 0.0012690689999999998
gle classifier 0.0012674259999999999
trary classifier 0.001267031
arate classifier 0.001267031
baseline methods 0.001266669
sentiment 0.00125513
additional domains 0.0012403050000000001
learning 0.00123526
parameter confidence 0.001232266
total domains 0.001227487
separate domains 0.0012273050000000001
dvd domains 0.0012176350000000001
disparate domains 0.0012053670000000002
lar domains 0.001199866
