Code for the paper Mining Effective Features Using Quantum Entropy for Humor Recognition for EACL 2023.
You need to download the glove.6B.50d.txt file from https://nlp.stanford.edu/projects/glove/ and put it under the project.
Running train.py will give you the dataset_features.csv file, run the script as follows:
python train.py --dataset dataset.csv --word_embedding glove.6B.50d.txt --features dataset_features.csv
Running cross_validation.py for cross-validation, run the script as follows:
python cross_validation.py --dataset dataset.csv --word_embedding glove.6B.50d.txt --features dataset_features.csv
If you want boost a content-based classifier, run the script as follows:
python cross_validation.py --useglove --dataset dataset.csv --word_embedding glove.6B.50d.txt --features dataset_features.csv