fastText supervised learning

A fastText classifier is built on top of a linear classifier, specifically a BoW classifier. In this section, you will get to know the architecture of the fastText classifier and how it works.

Architecture

You can consider that each piece of text and each label is actually a vector in space and the coordinates of that vector are what we are actually trying to tweak and train so that the vector for a text and associated label are really close in space:

Vector representation of the text

So, in this example, which is an example shown in 2D space, you have texts that are saying things such as "Nigerian Tommy Thompson is also a relative newcomer to the wrestling scene" and "James...