gensim – Python Framework for Topic Modeling
Gensim is a Python framework designed to help make the conversion of natural language texts to the Vector Space Model as simple and natural as possible.
Gensim contains algorithms for unsupervised learning from raw, unstructured digital texts, such as Latent Semantic Analysis and Latent Dirichlet Allocation. These algorithms discover hidden (latent) corpus structure. Once found, documents can be succinctly expressed in terms of this structure, queried for topical similarity and so on.
If the previous paragraphs left you confused, you can first read more about the Vector Space Model and unsupervised document analysis at Wikipedia.
This version has been tested under Python 2.5, but should run on any 2.5 <= Python < 3.0.
Installation
gensim depends on NumPy and Scipy, two Python packages for scientific computing. You need to have them installed prior to using gensim; if you don’t have them yet, you can get them from <http://www.scipy.org/Download>.
The simple way to install gensim is:
sudo easy_install gensim
If you have instead downloaded and unzipped the source tar.gz package <http://pypi.python.org/pypi/gensim>, you’ll need to run:
python setup.py test sudo python setup.py install
For alternative modes of installation (without root priviledges, development installation), see the documentation.
Documentation
Manual for the gensim package is available as HTML and as PDF. It contains a walk-through of all the features and a complete reference section. It is part of the source package and it can also be viewed on the project’s homepage <http://nlp/fi.muni.cz/projekty/gensim/>.
Gensim is open source software, and has been released under GNU LPGL license.
Copyright (c) 2010 Radim Rehurek
Release files for gensim 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gensim-0.4.tar.gz | 130.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gensim-0.4-py2.5.egg | Legacy Egg format | - | - | Details |
Total release size: 262.0 kB
Release files / gensim-0.4.tar.gz
| Download URL | gensim-0.4.tar.gz |
|---|---|
| Size | 130.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
11d64ccccd1b6b59fbe1072d3dbaafc96419c1de988f287fd3e9571388c74296
|
|
BLAKE2b-256 checksum How to use checksums |
875ea8ee1ecaec5b7c6612ab0a83b628d7757260142b6a3f234258f7715efb2e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / gensim-0.4-py2.5.egg
| Download URL | gensim-0.4-py2.5.egg |
|---|---|
| Size | 131.6 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
f917f3ef51fda55c2ca26be3d74675207ec3298c2c844237c504fd46846e6e19
|
|
BLAKE2b-256 checksum How to use checksums |
43fcd8f32ef05923bfefb76c64d34cfa472b8bada3f1773791b2fa642417cf66
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
