This is the offical repository of the paper titled
'DeepASPeer: towards an aspect-level sentiment controllable framework for decision prediction from academic peer reviews'
Here we propose a model that could help you determine the acceptance/rejection of a paper using peer reviews.
We use the ASAP dataset as part of our training and evaluation It can be downloaded directly from the link below:
https://drive.google.com/file/d/1nJdljy468roUcKLbVwWUhMs7teirah75/view?usp=sharing
The files from the above link will be downloaded and stored in a folder named dataset.
After this follow the steps below to run the model
Step 1 -Install all the dependicies required for running our model using the following command.
pip install -r requirements.txt
Step -2 This will create the files in accordance with the needs of the model. The model will be stored in a file named input_files.
python create_data.py
Step -3 Now run the model code by running the main.py file
python main.py