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HASOC Competition Code

Current Dataset

English and German

Extract the datasets into two folders: english_dataset and german_dataset. Code is run for english dataset for all three tasks.

Among statistical machine learning methods, we have basic Naive-Bayes, SVM and Random Forest algorithms. Advanced models are yet to be included

  1. Run the preprocessing.py file first to create pickle files required by the statistical models
  2. Run naive-bayes.py/svm.py/rf.py

Among deep neural network methods, we have basic CNN. Advanced models are yet to be included

  1. Run the dnn-preprocess.py file first to create pickle files required by the CNN model. Pickle files are created inside a folder called pickle_files
  2. Run cnn.py to run the CNN model

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Code repository for HASOC 2019 competition consisting of three subtasks: https://hasoc2019.github.io/

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