AotY / cnn-sentiment-analysis

cnn for sentiment classification.

CNN For Sentiment Classification

Model

Model overview:

```
CSC(
  (embedding): Embedding(5481, 300, padding_idx=0)
  (dropout): Dropout(p=0.8)
  (conv1): Conv2d(1, 256, kernel_size=(3, 300), stride=(1, 1))
  (conv2): Conv2d(1, 128, kernel_size=(3, 256), stride=(1, 1))
  (fc1): Linear(in_features=128, out_features=32, bias=True)
  (fc2): Linear(in_features=32, out_features=2, bias=True)
  (softmax): LogSoftmax()
)
```

data

• Movie Review Data: http://www.cs.cornell.edu/people/pabo/movie-review-data/

performance

Avg:
    -accuracy: 0.8270
    -precision: 0.8380
    -recall: 0.8261
    -f1: 0.8305

requirement

• Pytorch (0.4 +)