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Requirements for running the code
- scikit-learn
- keras
- numpy
- tqdm
- tensorflow
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Download the global vector file glove.6B.zip and put the glove.6B.100d.txt file in gloVe folder
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For running the code: -
python file_name body_truncation_length number_epochs
Example:-- python lstm_model_with_seperate_headline_body_encoding.py 75 10
- python lstm_model_headline_body_combined.py 75 10
- python lstm_model_with_global_features.py 75 10
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Folders :-
- fnc-1-master :- Contain the test and train dataset
- features :- Contain the text features extracted
- gloVe: Contains global vector file
- objects: Train and Validation accuracy and loss after each epoch is store here.
- prediction: Predicted result are store here.
amraw/Fake-News-Busters
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|