============================================== gensim -- Python Framework for Topic Modelling ============================================== Gensim is a Python library for *Vector Space Modelling* with very large corpora. Target audience is the *Natural Language Processing* (NLP) community. Features --------- * All algorithms are **memory-independent** w.r.t. the corpus size (can process input larger than RAM), * **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 implementations of popular algorithms, such as online **Latent Semantic Analysis**, **Latent Dirichlet Allocation** or **Random Projections** * **Distributed computing**: can run *Latent Semantic Analysis* and *Latent Dirichlet Allocation* on a cluster of computers. * Extensive `HTML documentation and 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 and Scipy `_, two Python packages for scientific computing. You must have them installed prior to installing `gensim`. The simple way to install `gensim` is:: sudo easy_install gensim Or, if you have instead downloaded and unzipped the `source tar.gz `_ package, you'll need to run:: python setup.py test sudo python setup.py install For alternative modes of installation (without root priviledges, development installation, optional install features), see the `documentation `_. This version has been tested under Python 2.5 and 2.6, but should run on any 2.5 <= Python < 3.0. Documentation ------------- Manual for the gensim package is available in `HTML `_. It contains a walk-through of all its features and a complete reference section. It is also included in the source distribution package. ------- Gensim is open source software, and has been released under the `GNU LPGL license `_. Copyright (c) 2010 Radim Rehurek