morphological features 0.00325049
features stem 0.0031478870000000003
other features 0.00307344
pos features 0.003031411
additional features 0.002877372
specific features 0.0028290340000000002
morphology features 0.002810677
inflectional features 0.0028001330000000002
only features 0.002797497
separate features 0.002709436
stylistic features 0.002695963
independent features 0.002689547
phological features 0.002675812
ical features 0.0026684300000000003
features erences 0.0026571570000000003
feature set 0.0024972419999999998
features 0.00241602
adjective feature 0.002358908
domain feature 0.002327404
paragraph feature 0.002264013
feature sets 0.002185038
data set 0.002122702
unique feature 0.00208079
test data 0.002077241
adj feature 0.002066934
training data 0.002048053
overall data 0.001834909
feature 0.00182199
data sets 0.001810498
dev data 0.001773284
patb data 0.00175077
msa data 0.0017247900000000001
morphological system 0.00172126
notated data 0.0016927420000000001
data annotations 0.0016903130000000001
arabic words 0.001643794
word pos 0.0015011859999999998
annotation corpus 0.001472321
stem words 0.001470827
arabic web 0.001449602
classification system 0.001438001
stem set 0.001407119
arabic ssa 0.001327401
stem setting 0.00132428
test set 0.001305043
annotated corpus 0.001284547
training set 0.001275855
morphological fea 0.001273522
classification performance 0.001266405
standard arabic 0.0012563449999999999
test setting 0.001222204
word lemmatization 0.001197938
tagging system 0.001193224
pos adjective 0.001152309
lemma stem 0.001075252
neutral class 0.001071753
majority class 0.001063773
stem condition 0.001062036
other languages 0.001052297
sentiment results 0.00104881
stem lemmatization 0.00104401
pos surface 0.001042259
subjectivity results 0.001030086
annotation task 0.001025733
new polarity 0.0010033569999999999
classification task 0.001002649
model mor 9.97819E-4
stem gloss 9.935669999999999E-4
ssa classification 9.73778E-4
nlp systems 9.49765E-4
tion approach 9.40089E-4
ssa systems 9.39618E-4
lemma setting 9.35798E-4
average accuracy 9.18479E-4
several sentence 9.183419999999999E-4
automatic classification 9.152870000000001E-4
ent training 9.06657E-4
arabic 9.04834E-4
lemmatization setting 9.045559999999999E-4
corpus 8.98026E-4
undiacritized text 8.9503E-4
sentence level 8.87102E-4
system 8.8679E-4
natural language 8.839119999999999E-4
only work 8.836690000000001E-4
subjective text 8.800730000000001E-4
surface form 8.764840000000001E-4
tokenized text 8.74379E-4
ssa task 8.74005E-4
test mode 8.71184E-4
possible combinations 8.67884E-4
related work 8.635210000000001E-4
morph setting 8.605449999999999E-4
development setting 8.58471E-4
pos informa 8.5708E-4
possible labels 8.52689E-4
classification tokenization 8.4522E-4
binary classification 8.42154E-4
training rounds 8.41651E-4
ing tags 8.4118E-4
