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Py-gensim
Jul 20, 2023
Python framework for fast Vector Space Modelling
Gensim 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.
Features
- All algorithms are memory-independent w.r.t. the corpus size can process input larger than RAM, streamed, out-of-core,
- Intuitive interfaces
- 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, such as online Latent Semantic Analysis LSA/LSI/SVD, Latent Dirichlet Allocation LDA, Random Projections RP, Hierarchical Dirichlet Process HDP or word2vec deep learning.
- Distributed computing can run Latent Semantic Analysis and Latent Dirichlet Allocation on a cluster of computers.
- Extensive documentation and Jupyter Notebook tutorials.
- Older
- Newer
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