GloVe

GloVe stands for Global Vectors and is a model to produce a distributed word representation. It's an unsupervised learning method that finds a useful word representation in a vector space using statistics on the co-occurrence words from a corpus.

It combines two methods: global matrix factorization and local context windows. We will now explain these two models in more detail and show an example of how to use it.

Global matrix factorization

Matrix factorization, also known as matrix decomposition, is the decomposition of a matrix into a product of multiple matrices. There are many ways to decompose a matrix depending on the class of problems we aim to solve.

Matrix factorization is intended as a set of algorithms...