• Divisi2 is embedded in a larger project on knowledge representation (semantic networks and the like) in the MIT, so it is intended to be used in applications in AI and not in linguistics.
• It is a SVD (singular value decomposition) library for Python.
• Divisi requires numpy (numerical python, a standard library for scientifical computing with py) and pysparse (a further extension for matrix processing). From my own experience, installing numpy is not trivial.
• As far as I can see right now, it is necessary to develop or use another application to collect the context vectors, etc..
• Easy installation (around 5 minutes if you have numpy).
• Quick overview.
• Documentation
• Note: In a first run, Divisi2 didn't work.

• I presuppose that Python is already installed in your computer. Most distributions of linux include in their standard version Python. If you haven't install python yet, please check here.
• The installation process is by itself quite simple -you will need just two commands. However a number of libraries are necessary to run Divisi2 and their installation is not quite simple, at least that is what I remember from installing numpy. In my case, I had to install (and maybe build) several libraries, in particular, ATLAS.
• To install:
  1. First install pip

     sudo easy_install pip

  2. This command will also install pysparse (in case you don't have it):

     sudo pip install pysparse

  3. Now install Divisi2

     sudo pip install divisi2 csc-pysparse

• For a further tutorial using Divisi2

— Eduardo Aponte 2010/11/02 12:30