PyCTM is a Correlated Topic Modeling package, please download the latest version from our GitHub repository.
Please send any bugs of problems to Ke Zhai ([email protected]).
This package depends on many external python libraries, such as numpy, scipy and nltk.
Assume the PyCTM package is downloaded under directory $PROJECT_SPACE/src/, i.e.,
$PROJECT_SPACE/src/PyCTM
To prepare the example dataset,
tar zxvf pnas-abstract.tar.gz
To launch PyCTM, first redirect to the directory of PyCTM source code,
cd $PROJECT_SPACE/src/PyCTM
and run the following command on example dataset,
python -m launch_train --input_directory=./pnas-abstract --output_directory=./ --number_of_topics=10 --training_iterations=50
The generic argument to run PyCTM is
python -m launch_train --input_directory=$INPUT_DIRECTORY/$CORPUS_NAME --output_directory=$OUTPUT_DIRECTORY --number_of_topics=$NUMBER_OF_TOPICS --training_iterations=$NUMBER_OF_ITERATIONS
You should be able to find the output at directory $OUTPUT_DIRECTORY/$CORPUS_NAME.
Under any circumstances, you may also get help information and usage hints by running the following command
python -m launch_train --help