DualLearning/DSL_SentimentAnalysis
xyc1207 1068687f83 first commit 2017-12-02 22:55:11 +08:00
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CLM first commit 2017-12-02 22:55:11 +08:00
Classifier first commit 2017-12-02 22:55:11 +08:00
data first commit 2017-12-02 22:55:11 +08:00
ipdb first commit 2017-12-02 22:55:11 +08:00
AllocateGPU.py first commit 2017-12-02 22:55:11 +08:00
Data.py first commit 2017-12-02 22:55:11 +08:00
GPU_Usage.py first commit 2017-12-02 22:55:11 +08:00
MapGPU.py first commit 2017-12-02 22:55:11 +08:00
README.md first commit 2017-12-02 22:55:11 +08:00
Util_basic.py first commit 2017-12-02 22:55:11 +08:00
config.py first commit 2017-12-02 22:55:11 +08:00
inference.py first commit 2017-12-02 22:55:11 +08:00
model.npz.pkl first commit 2017-12-02 22:55:11 +08:00
monitor.py first commit 2017-12-02 22:55:11 +08:00
train.bat first commit 2017-12-02 22:55:11 +08:00
train_linux.sh first commit 2017-12-02 22:55:11 +08:00
valid.bat first commit 2017-12-02 22:55:11 +08:00
valid_linux.sh first commit 2017-12-02 22:55:11 +08:00

README.md

Dual supervised learning for sentiment analysis.

The models are at: https://www.dropbox.com/sh/sbl9lv6q0agsrrz/AADIYiS_4stp36X2waW2Wfiaa?dl=0

You can refer to "train.bat/train_linux.sh" and "valid.bat/valid_linux.sh" for how to run our code.