Tutorial 2
Gensim : Topic Modelling for Humans
GitHub repo for tutorial
Gensim is a toolkit for doing interesting things with large amounts of text data. It is focused on Topic Modelling and Word Embeddings, which are 'unlabelled' tasks : they don't require any annotation, and can be run on any dataset of text.
Installation
To install, go to the installation instructions page. GenSim is available for Windows, Mac, and Linux, and installs easily through PIP.
How to use GenSim
GenSim has many possible applications. For a full set of tutorials, see the tutorials page. For this tech tutorial, I will be focusing on generating and using word embeddings. A full Jupyter notebook example will be provided.