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Sally
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3d.ipynb
3d.ipynb
A_cnnlstm_pre_value.csv
A_cnnlstm_pre_value.csv
A_imdbcnn_pre_value.csv
A_imdbcnn_pre_value.csv
A_lstm_pre_value.csv
A_lstm_pre_value.csv
A_lstmcnn_pre_value.csv
A_lstmcnn_pre_value.csv
I_cnnlstm_pre_value.csv
I_cnnlstm_pre_value.csv
I_imdbcnn_pre_value.csv
I_imdbcnn_pre_value.csv
I_lstm_pre_value.csv
I_lstm_pre_value.csv
I_lstmcnn_pre_value.csv
I_lstmcnn_pre_value.csv
LRpred_I.py
LRpred_I.py
README.md
README.md
SVR.ipynb
SVR.ipynb
Untitled.ipynb
Untitled.ipynb
Untitled2.ipynb
Untitled2.ipynb
appendOnData.ipynb
appendOnData.ipynb
appendOnData.py
appendOnData.py
cnn.ipynb
cnn.ipynb
cnn.py
cnn.py
cnn2.py
cnn2.py
data-process.ipynb
data-process.ipynb
dataA_irony1004-1.5.csv
dataA_irony1004-1.5.csv
dataA_irony1004-Pattern-1.5.csv
dataA_irony1004-Pattern-1.5.csv
dataA_irony1005_1.5.csv
dataA_irony1005_1.5.csv
dataI_irony1004-1.5.csv
dataI_irony1004-1.5.csv
dataI_irony1004-Pattern-1.5.csv
dataI_irony1004-Pattern-1.5.csv
dataI_irony1005_1.5.csv
dataI_irony1005_1.5.csv
dataV_irony1004-1.5.csv
dataV_irony1004-1.5.csv
dataV_irony1004-Pattern-1.5.csv
dataV_irony1004-Pattern-1.5.csv
dataV_irony1004.csv
dataV_irony1004.csv
dataV_irony1005_1.5.csv
dataV_irony1005_1.5.csv
getdata2468.txt
getdata2468.txt
input-2468.txt
input-2468.txt
irony.txt
irony.txt
keras_input_data.py
keras_input_data.py
load_vai.py
load_vai.py
loadvai2.py
loadvai2.py
lstm_cnn.ipynb
lstm_cnn.ipynb
metrics.py
metrics.py
mr.p
mr.p
scatter.ipynb
scatter.ipynb
scatter2.ipynb
scatter2.ipynb
score_evaluation.py
score_evaluation.py
sentences_getvec.py
sentences_getvec.py
visualize.py
visualize.py
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Sally
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this is an project for evaluate the irony three dimension corpus.
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