{"repo":"piskvorky/gensim","free":true,"listed":false,"github":"https://github.com/piskvorky/gensim","clone":"git clone https://github.com/piskvorky/gensim.git","description":"Topic Modelling for Humans","language":"Python","stars":16478,"topics":["gensim","topic-modeling","information-retrieval","machine-learning","natural-language-processing","nlp","data-science","python","data-mining","word2vec"],"license":"LGPL-2.1","category":"machine-learning","readme_excerpt":"gensim – Topic Modelling in Python ================================== 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. ⚠️ Want to help out? Sponsor Gensim ❤️ ⚠️ Gensim is in stable maintenance mode: we are not accepting new features, but bug and documentation fixes are still welcome! ⚠️ 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]. If this feature list left you scratching your head, you can first read more about the [Vector Space Model] and [unsupervised document analysis] on Wikipedia. Installation ------------ This software depends on [NumPy], a Python package for scientific computing. Please bear in mind that building NumPy from so","default_branch":null,"files":null,"tree":[],"storefront":"/r/piskvorky","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/piskvorky/gensim/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}