==== WikiRef ====
The Code is written for ComputerScience dataset. For Physics dataset please change the path for dataset in the python files necessary, i.e. set 'dataset_path' variable accordingly.
Initially Execute all the Files in preprocessing' folder [Note: Execute preprocessing/build_intralink' before preprocessing/build_inlink']. Extract dataset/ComputerScience.tar.gz' and `dataset/Physics.tar.gz' [Note: Extract the ones you need]
== Dataset == We have two datsets available, Physics and Computer Science
Please download the dataset, extract it and save it in `dataset/' directory.
Download Computer Science dataset from here : https://drive.google.com/file/d/1jJ7j5c5uqxRrUMHz0-yNHKYvIQHhfTwO/view?usp=sharing Download Physics dataset from here : https://drive.google.com/file/d/1yu_c3MBQVq6qMlbem1iqmsMZMwZO7Yi9/view?usp=sharing
== Step1 == Goto `features/Step1' and execute all the files. You get The features.
Goto features' execute create_feature_csv.py'. You get csv file of the features.
Goto classifier' execute step1_testing.py'.
Step 1 Done
== Step2 ==
First you need to install svm_rank_learn' and svm_rank_classify'. Download it from here https://www.cs.cornell.edu/people/tj/svm_light/svm_rank.html [Note : Make sure svm_rank_learn' and svm_rank_classify' executables are in your search tree]
Goto features/Step2' and execute step2_training_features.py'. You got your features.
Goto classifier' execute step2_testing.py'.
Step 2 Done
== Python Packages Required == scipy sklearn gensim numpy torch jellyfish