This project is no longer maintained

Divisi2 was a library for reasoning by analogy over semantic networks using the sparse singular-value decomposition, originating in a time when the sparse SVD was (a) the most effective source of word vectors and (b) difficult to perform in Python. Both of these situations have changed.

conceptnet5_ contains code for building multilingual word vectors based on distributional semantics and the knowledge graph ConceptNet. These word vectors can reason about words by similarity and analogy, with state-of-the-art performance as of 2017.

Other libraries that can help to accomplish the lower-level operations of Divisi2:

• SciPy_ now has built-in sparse matrices, and scipy.sparse.linalg can perform a sparse SVD.
• pandas_ is an excellent library for working with matrices of labeled data.

.. _conceptnet5: https://github.com/commonsense/conceptnet5 .. _SciPy: https://www.scipy.org/ .. _pandas: http://pandas.pydata.org/

Authors

Divisi2 belongs to two projects with many of the same people involved:

• Open Mind Common Sense, a project of the MIT Media Lab
• the MIT Mind Machine Project

The primary developers are:

• Rob Speer <rspeer at mit dot edu>
• Ken Arnold <kcarnold at mit dot edu>

See AUTHORS.rst for a list of all authors.

License

This version of Divisi is available under the GNU General Public License, version 3.0. See COPYING.txt.