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Library for efficient text classification and representation learning
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What is FastText?

It 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 later be reduced in size to even fit on mobile devices.
FastText is a tool in the NLP / Sentiment Analysis category of a tech stack.
FastText is an open source tool with 22.3K GitHub stars and 4.3K GitHub forks. Here’s a link to FastText's open source repository on GitHub

Who uses FastText?

4 companies reportedly use FastText in their tech stacks, including Shelf,, and Conversocial 2021.

17 developers on StackShare have stated that they use FastText.

FastText Integrations

Pros of FastText

FastText's Features

  • Train supervised and unsupervised representations of words and sentences
  • Written in C++

FastText Alternatives & Comparisons

What are some alternatives to FastText?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
See all alternatives

FastText's Followers
41 developers follow FastText to keep up with related blogs and decisions.