authorid

Author identification code using:

• Bayes
• Imposters
• Sparse representation

Instrucctions for running in PAN14

Trainning the three methodologies

bash script/train_pan14.sh -i TRAINDIR -o MODELDIR

Test for bayes

bash script/test_pan14_bayes.sh -i INPUTDIR -m MODELDIR -o OUTPUTDIR

Test for imposter

bash script/test_pan14_imposter.sh -i INPUTDIR -m MODELDIR -o OUTPUTDIR

Test for sparse

bash script/test_pan14_sparse.sh -i INPUTDIR -m MODELDIR -o OUTPUTDIR

The results will be saved into $OUTDIR/anwers.txt

Scripts

For more information run:

python src/authorid_bayes.py -h python src/authorid_imposter.py -h python src/authorid_sparse.py -h

Requirements

• python 2.7
• numpy, scikit
• scikit-learn
• python-cvxopt
• oct2py

Install stanford libraries

::

mkdir lib wget http://nlp.stanford.edu/software/stanford-corenlp-full-2014-08-27.zip unzip stanford-corenlp-full-2014-08-27.zip cp stanford-corenlp-full-2014-08-27/stanford-corenlp-3.4.1.jar lib/ cp stanford-corenlp-full-2014-08-27/stanford-corenlp-3.4.1-models.jar lib/

Optional:

• PAN dataset