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domain features 0.00373334
sentiment feature 0.00362761
source domain 0.003348706
different domain 0.003311439
target domain 0.003247589
other domain 0.003206466
domain adaptation 0.0031947489999999998
domain label 0.0031742009999999998
sentiment features 0.0031345
new domain 0.0030746999999999997
sentiment words 0.00301958
domain reviews 0.0029247709999999996
domain labels 0.002924496
books domain 0.0028558109999999998
electronics domain 0.0028553529999999997
dvd domain 0.002851888
specific domain 0.0028232379999999996
sentiment classification 0.002804086
sentiment classifier 0.002803908
appliances domain 0.0027840689999999997
domain adap 0.002754492
domain spe 0.002752147
domain giv 0.0027502629999999998
domain inde 0.0027502629999999998
sentiment label 0.002575361
different feature 0.0025674490000000003
sentiment information 0.002529111
sentiment classifiers 0.002528352
same sentiment 0.002521789
domain 0.00248522
feature vector 0.002340704
structural feature 0.002334986
sentiment reviews 0.002325931
sentiment labels 0.002325656
negative sentiment 0.002290384
labeled data 0.002288151
positive sentiment 0.002286456
sentiment elements 0.002266613
sentiment fea 0.002266001
ing sentiment 0.00226329
sentiment sen 0.002242696
sentiment clas 0.002205272
feature space 0.0022040180000000003
level sentiment 0.002179303
sentiment classi 0.002174068
tive sentiment 0.002168152
sentiment classifica 0.002162737
ative sentiment 0.002157309
itive sentiment 0.002153832
civilization sentiment 0.002153631
feature vectors 0.0021343490000000002
feature weights 0.002115371
feature expansion 0.002105339
dimensional feature 0.002052626
feature mismatch 0.00202147
spectral feature 0.002021044
feature alignment 0.002011861
feature vec 0.002010069
feature sparseness 0.002008182
feature identifiers 0.002007381
feature align 0.002007381
feature expan 0.002007381
unlabeled data 0.001937769
sentiment 0.00188638
other words 0.001854446
beled data 0.001787593
data sparseness 0.001768452
leverage data 0.0017666280000000001
pivot features 0.0017642869999999998
such words 0.001761177
feature 0.00174123
source domains 0.00164896
related features 0.0016369619999999998
many words 0.001624592
classification method 0.001619086
simple word 0.001616991
different domains 0.001611693
context features 0.0016034419999999998
common words 0.001597397
useful features 0.0015680479999999998
independent features 0.001559481
salient features 0.00155731
target domains 0.0015478430000000001
additional features 0.0015472429999999998
learning algorithms 0.00154135
word filter 0.001525568
irrelevant features 0.001518797
word disap 0.001514164
word lemma 0.001514164
pendent features 0.0015141549999999999
other domains 0.00150672
classification methods 0.001503542
spondence learning 0.001464822
ent words 0.001463026
content words 0.001454079
training instances 0.0014096159999999998
unseen words 0.001399437
words rust 0.001399437
baseline classifier 0.001393273
