gensim

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

Project Activity

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License

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

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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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