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6.867 Final Project

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Requirements

  • Python 3
  • Python packages:
    • numpy
    • scikit-learn
    • statistics
  • NLTK packages:
$ sudo pip install -U nltk
$ python
> import nltk
> nltk.download('punkt')
> nltk.download('averaged_perceptron_tagger')
> nltk.download('stopwords')

Using this code

See the Preprocessing README and Classifiers README for more detailed information about processing data and running classifiers. While each script to process the data takes in a different set of arguments, most of the classifiers take in the same ones.

The usual process to run a classifier is

python classifier.py path_to_train_csv path_to_validation_csv path_to_test_csv

Some of the classifiers have additional arguments. See the Classifiers README for more details.

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