Humor Detection

Assessing the Funniness of Edited News Headlines (SemEval-2020 Task 7)

To Run Task 1 and 2 using XGB:

Task 1

python xgb_task1.py

###Task 2

python xgb_task2.py

To Run Task 1 using Linear Regression:

Train a new Model:

python task1.py -tr yes -ds path/of/csv/file -m /model/directory/to/save -tts optional

To Test a Model:

python task1.py -te yes -ds path/of/csv/file -m /model/directory

run this command to test the existing pre-trained model

python task1.py -te yes -ds ./training-data/task-1/train_funlines.csv -m ./training-data/task-1/