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
Categories
Machine LearningLicense
GNU Library or Lesser General Public License version 3.0 (LGPLv3)Follow gensim
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