Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community.

Features

  • All algorithms are memory-independent w.r.t. the corpus size (can process input larger than RAM, streamed, out-of-core),
  • Easy to plug in your own input corpus/datastream (trivial streaming API)
  • Easy to extend with other Vector Space algorithms (trivial transformation API)
  • Efficient multicore implementations of popular algorithms
  • Can run Latent Semantic Analysis and Latent Dirichlet Allocation on a cluster of computers
  • Documentation available

Project Samples

gensim Screenshot 1

Project Activity

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Categories

Machine Learning

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

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gensim Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-07-30
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