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What is Gensim?

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.
Gensim is a tool in the NLP / Sentiment Analysis category of a tech stack.
Gensim is an open source tool with 10.5K GitHub stars and 3.7K GitHub forks. Here’s a link to Gensim's open source repository on GitHub

Who uses Gensim?

3 companies reportedly use Gensim in their tech stacks, including MailMine.io, Learning Backend, and Avito.

14 developers on StackShare have stated that they use Gensim.

Gensim Integrations

Why developers like Gensim?

Here’s a list of reasons why companies and developers use Gensim
Top Reasons
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Gensim's Features

  • platform independent
  • converters & I/O formats

Gensim Alternatives & Comparisons

What are some alternatives to Gensim?
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
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.
See all alternatives

Gensim's Followers
13 developers follow Gensim to keep up with related blogs and decisions.
Ramya Yellapragada
Casey Hughlett
Jeremy Vo
Igor Brigadir
Sezer Uguz
Indresh Satyanatayana
John Alton
Kazuki Baba