Automatic text processing is something that is widely used across the web, whether it's used to understand what you type in a search bar or detect spam in email.
Developing fast and efficient text classification, however, is something that has challenged AI researchers throughout the years, and that's why the Facebook AI Research team FAIR set out the develop fastText.
FAIR has taken things one step further with the fastText, today announcing that it will become open-source.
FastText is a library that aims to assist in the creation of "scalable solutions for text representation and classification."
One of the major strengths of fastText is that it was designed to help with text processing as it applies to very large databases, something that deep neural networks - which are another popular solution when it comes to text classification - can have trouble with.
As FAIR points out, deep-learning methods are usually slow to train and test.