tmw - Topic Modeling Workflow

What is tmw?

tmw is a python module for topic modeling, including some preprocessing of texts and some postprocessing of topic model data.

The bad news: tmw has been developed for and tested only on Linux (Ubuntu 14.04)
Make sure you have Python 3 (tested with 3.4), Mallet (tested with 2.0.7) and TreeTagger installed.
Make sure you have the Python 3 packages numpy, pandas, matplotlib, lxml, scipy, seaborn, wordcloud.

Download the module files tmw.py (the module) and my_tmw.py (the configuration file) to a convenient location
Make sure all your document files are in one directory (your working directory)
If you would like to use a stoplist when using Mallet, add this to a subdirectory called "extras"
The workflow accepts TEI-encoded or plain text documents as input and expects each file to contain one document
Set the working directory ("wdir") in the configuration file
(Optionally, you may adapt the module itself in the "tmw.py" file.)
Activate or deactivate functions in the configuration file by un-commenting them as needed
For each function you want to use, set the parameters as necessary.
Run the workflow by executing the configuration file in a Python IDE.