vsmlib 0.1.22

toolbox for various tasks in the area of vector space models of computational linguistic

VSMlibs helps to perform a range of tasks within a framework of vector space models of computational linguistics.

What functionality is included

• creating word embeddings by counting and neural-based methods, including sub-word-level models

• importing and exporting from a banch of popular formats of word embeddings and providing unified access to word-vectors

• perfroming a range of downstream tasks / benchmarks on embeddings

• visualising embeddings

How do I get set up?

• pip3 install vsmlib for stable version

• pip3 install git+https://github.com/undertherain/vsmlib.git for latest dev version

• Python 3.5 or later is required

📖 Documentation

Tutorial	vsmlib overview and end-to-end examples.
API Reference	The detailed reference for vsmlib API.
Contribute	How to contribute to the vsmlib project and code base.

Who do I talk to?

• Issue tracker is the way to go