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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 23.1K GitHub stars and 4.4K 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.

24 developers on StackShare have stated that they use FastText.

FastText Integrations

Pros of FastText
Decisions about FastText

Here are some stack decisions, common use cases and reviews by companies and developers who chose FastText in their tech stack.

Biswajit Pathak
Project Manager at Sony · | 5 upvotes · 26K views

Can you please advise which one to choose FastText Or Gensim, in terms of:

  1. Operability with ML Ops tools such as MLflow, Kubeflow, etc.
  2. Performance
  3. Customization of Intermediate steps
  4. FastText and Gensim both have the same underlying libraries
  5. Use cases each one tries to solve
  6. Unsupervised Vs Supervised dimensions
  7. Ease of Use.

Please mention any other points that I may have missed here.

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FastText's Features

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

FastText Alternatives & Comparisons

What are some alternatives to FastText?
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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
54 developers follow FastText to keep up with related blogs and decisions.