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gensim 4.3.3

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Python framework for fast Vector Space Modelling

Python framework for fast Vector Space Modelling

Stars: 15611, Watchers: 15611, Forks: 4375, Open Issues: 410

The piskvorky/gensim repo was created 13 years ago and the last code push was 1 months ago.
The project is extremely popular with a mindblowing 15611 github stars!

How to Install gensim

You can install gensim using pip

pip install gensim

or add it to a project with poetry

poetry add gensim

Package Details

Author
Radim Rehurek
License
LGPL-2.1-only
Homepage
https://radimrehurek.com/gensim/
PyPi:
https://pypi.org/project/gensim/
GitHub Repo:
https://github.com/RaRe-Technologies/gensim

Classifiers

  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Information Analysis
  • Text Processing/Linguistic
No  gensim  pypi packages just yet.

Errors

A list of common gensim errors.

Code Examples

Here are some gensim code examples and snippets.

GitHub Issues

The gensim package has 410 open issues on GitHub

  • [WIP] Documentation fixes
  • HdpModel cann't return all topics
  • Fix str() method in WmdSimilarity
  • adjust test_parallel bound
  • tighten test_topic_word
  • Possible bug in WmdSimilarity
  • Enable pytest-rerunfailures test dependency again
  • AttributeError: 'dict' object has no attribute 'NUMPY_SETUP'
  • Fix computation of topic coherence #3181
  • Sequential lda optimization
  • AttributeError: 'Doc2Vec' object has no attribute 'dv’
  • [WIP] Implement position-dependent weighting to fastText
  • Implement position-dependent weighting to fastText

See more issues on GitHub