feature set 0.002520197
feature selection 0.0024340250000000003
new feature 0.002432318
feature extraction 0.002420783
standard feature 0.002274569
feature sets 0.002246165
feature mode 0.00224081
mode feature 0.00224081
specific feature 0.0022313990000000002
feature extractor 0.002212525
modular feature 0.0022085480000000003
generic feature 0.002195365
feature extractors 0.002195166
feature modes 0.002185522
customizable feature 0.002185138
feature store 0.0021829090000000002
feature gener 0.002182097
expressive feature 0.002181602
nal feature 0.002181602
custom feature 0.002181602
tomized feature 0.002181602
feature extrac 0.002181602
feature 0.00199386
new features 0.001888658
output features 0.001837255
other features 0.001825333
training data 0.001816978
new data 0.001757448
test data 0.001756499
lexical features 0.001729154
useful features 0.001719799
good features 0.001710002
new learning 0.0017012980000000002
ing data 0.001686524
learning classifier 0.0016850850000000002
learning task 0.00168381
actual features 0.0016814830000000001
machine learning 0.0016567720000000001
supervised learning 0.001646813
learning experiments 0.001621412
input data 0.001618619
data input 0.001618619
experiment data 0.001576212
data sets 0.001571295
learning problem 0.0015658290000000001
textual data 0.001549338
twitter data 0.0015483959999999998
learning tasks 0.001546856
learning algorithms 0.0015404050000000001
learning framework 0.00153286
unseen data 0.0015175289999999999
tual data 0.001516117
annotated data 0.001511307
configurable data 0.0015102849999999999
data writers 0.0015080669999999999
ships data 0.001507575
data writer 0.001506746
dedicated data 0.001506746
unsupervised learning 0.001491909
learning algo 0.001483123
learning tool 0.001477449
learning setting 0.001473134
learning approaches 0.001470771
learning scenarios 0.0014566520000000001
pervised learning 0.0014558470000000001
chine learning 0.0014532770000000002
learning frame 0.0014516720000000002
learning frameworks 0.0014504740000000002
features 0.0014502
text classification 0.0013586380000000001
additional information 0.001342609
word sense 0.001305907
level information 0.001281122
learning 0.00126284
label classification 0.001251529
relevant information 0.001206204
information management 0.001195057
unstructured information 0.001183615
grammatical information 0.001164383
classification results 0.001149731
document text 0.001145812
classification task 0.001130223
classification system 0.001127225
selection algorithm 0.001102092
word difficulty 0.001082229
supervised text 0.001033358
classification workflow 0.001015561
public class 9.96009E-4
standard classification 9.89962E-4
classification framework 9.79273E-4
information 9.75141E-4
different machine 9.545630000000001E-4
class emoticonratiofeatureextractor 9.4579E-4
classification setups 9.295639999999999E-4
classification outcome 9.2811E-4
classification example 9.27859E-4
sentiment classification 9.25267E-4
classification unit 9.0166E-4
language processing 8.977729999999999E-4
tweet classification 8.976699999999999E-4
