What is fastText? FastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can …

Text classification is a core problem to many applications, like spam detection, sentiment analysis or smart replies. In this tutorial, we describe how to build a text classifier with the fastText tool.

In order to have a better knowledge of fastText models, please consider the main README and in particular the tutorials on our website. You can find further python examples in the doc folder.

So far, we run fastText with the default parameters, but depending on the data, these parameters may not be optimal. Let us give an introduction to some of the key parameters for word vectors.

We distribute pre-trained word vectors for 157 languages, trained on Common Crawl and Wikipedia using fastText. These models were trained using CBOW with position-weights, in …

FastText is a library for text classification and representation. It transforms text into continuous vectors that can later be used on any language related task.

This will produce object files for all the classes as well as the main binary fasttext. If you do not plan on using the default system-wide compiler, update the two macros defined at the …

This page gathers several pre-trained word vectors trained using fastText.

## Word representation learningWord representation learning In order to learn word vectors do: $ ./fasttext skipgram -input data.txt -output model Obtaining word vectors Print word vectors for …

### DescriptionDescription We distribute two models for language identification, which can recognize 176 languages (see the list of ISO codes below). These models were trained on …