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Benchmarks
Sentiment Classification on MR (10-fold cross-validation)
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83.1
Accuracy
AdaSent
73.532
76.016
78.5
80.984
Jun 22, 2015
Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
AdaSent
type=supervised compos...
2015.06
83.1
BRNN
type=supervised compos...
2015.06
82.3
CNN
type=supervised compos...
2015.06
81.5
combine-skip + NB
classifier=linear mode...
2015.06
80.4
NB-SVM
type=bag-of-words model
2015.06
79.4
MNB
type=bag-of-words model
2015.06
79
cBoW
type=bag-of-words model
2015.06
77.2
RNN
type=supervised compos...
2015.06
77.2
combine-skip
classifier=logistic re...
2015.06
76.5
GrConv
type=supervised compos...
2015.06
76.3
uni-skip
classifier=logistic re...
2015.06
75.5
Paragraph-vector
type=unsupervised lear...
2015.06
74.8
bi-skip
classifier=logistic re...
2015.06
73.9
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