Text Classification baed on LSTM on R8 Dataset-[pytorch implementation]
1. Details of file fold:
- data/
- data/train_txt/*.txt
- data/train_txt.txt
- data/train_label.txt
- data/test_txt/*.txt
- data/test_txt.txt
- data/test_label.txt
2. File description:
| file | description |
|---|---|
| data/train_txt/ | training text fold |
| data/test_txt/ | testing text fold |
| data/train_txt.txt | file name list for training text |
| data/test_txt.txt | file name list for testing text |
| data/train_label.txt | label list for training text |
| data/test_label.txt | label list for testing text |
3. Running example:
Environment: python 3
Requirements:
pytorchrunning example:
python main.pyoutput:
4. Dataset:
We use the following dataset for our example: R8 Dataset.link.