TAToM: Text Analysis with Topic Models for the Humanities and Social Sciences
TAToM: Text Analysis with Topic Models for the Humanities and Social Sciences consists of a series of tutorials that introduce basic procedures in quantitative text analysis with a particular focus on the preparation of a text corpus for analysis and on exploratory analysis using topic models and machine learning.
The project relies heavily on the
ipython Sphinx directive, which is
Building the documentation may be accomplished by the following sequence of commands. The core requirements are: Python 3.3 or higher and Sphinx 1.2 or higher.
Install required packages. The packages and version numbers are listed in
requirements.txt. In theory the command below should download and install all the packages but in practice there are dependencies that prevent this from working. Some packages may need to be installed one by one.
pip install -r requirements.txt
The chapter illustrating the use of MALLET needs a java compiler, on Debian-based Linux such as Ubuntu you may install java with: ``sudo apt-get install
sudo apt-get install openjdk-7-jre-headless
Build the documentation: