regression model 0.002532706
training data 0.002409913
text data 0.0023774119999999998
copula model 0.00230231
text features 0.0021639019999999997
semiparametric model 0.002150664
compact model 0.002047788
model signif 0.0020417070000000002
ula model 0.0020417070000000002
model deals 0.0020417070000000002
text models 0.001980252
feature set 0.001968726
model 0.00182934
lexical features 0.0018065009999999999
feature vector 0.001790708
feature space 0.0017906089999999999
semantic feature 0.001787616
trading data 0.0016949859999999999
media data 0.001685759
testing data 0.001674062
feature sets 0.001666466
data sparsity 0.001661315
semantic features 0.0016365759999999998
text regression 0.001632948
svm models 0.001625283
feature spaces 0.001608645
new features 0.0015879739999999998
words models 0.001579679
training set 0.001545449
copula models 0.0015236400000000002
top features 0.001508537
various models 0.00149862
raw features 0.001466783
discrete features 0.001460819
total features 0.0014585269999999998
amine features 0.001447421
standard text 0.001425309
copula text 0.001402552
feature 0.00138536
various text 0.0013775319999999999
text classification 0.0013339139999999998
nonparametric models 0.001322625
topic models 0.0012982780000000001
recent text 0.001292175
kernel function 0.001290691
svm regression 0.0012779789999999998
regression task 0.001277537
probabilistic text 0.001274292
distribution function 0.001273367
criminative models 0.001269399
text ranking 0.001266525
features 0.00123432
copula function 0.0011937760000000001
copula regression 0.001176336
regression approach 0.001155387
regression baseline 0.001148211
text regres 0.001148158
text mining 0.001147611
regression tasks 0.001145086
kernel svm 0.0011444979999999999
text analytics 0.001143117
linear regression 0.001138839
loss function 0.001128276
regression algorithm 0.001118345
regression method 0.0011106549999999999
vector regression 0.001108714
financial sentiment 0.001098717
density function 0.001092852
same dataset 0.00106676
different parameter 0.001052171
models 0.00105067
financial performance 0.001048768
many regression 0.001023083
regression problem 0.00102258
svm baseline 0.001019458
linear svm 0.0010100859999999999
linear kernel 0.001005358
gaussian svm 0.001005354
machine learning 0.001001476
gaussian kernel 0.0010006260000000001
regression problems 9.99163E-4
random copula 9.81126E-4
classification task 9.78503E-4
regression baselines 9.712569999999999E-4
regression studies 9.70912E-4
indicator function 9.683160000000001E-4
training 9.62083E-4
regression components 9.54406E-4
other ker 9.47899E-4
different exper 9.45652E-4
kernel density 9.41931E-4
tribution function 9.41249E-4
word tokens 9.348889999999999E-4
bution function 9.339470000000001E-4
ksdensity function 9.339470000000001E-4
other hand 9.32055E-4
other parties 9.26892E-4
standard gaussian 9.26468E-4
different perspective 9.2114E-4
probability distribution 9.189910000000001E-4
