pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
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DOI references
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Committers with academic emails
4 of 42 committers (9.5%) from academic institutions
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Scientific vocabulary similarity
Low similarity (15.7%) to scientific vocabulary

Keywords from Contributors

gensim topic-modeling word-embeddings word-similarity distribution data-mining word2vec fasttext document-similarity interactive

Last synced: 10 months ago · JSON representation

Repository

Python library for interactive topic model visualization. Port of the R LDAvis package.

Basic Info

Host: GitHub
Owner: bmabey
License: bsd-3-clause
Language: Jupyter Notebook
Default Branch: master
Homepage:
Size: 6.2 MB

Statistics

Stars: 1,832
Watchers: 45
Forks: 359
Open Issues: 80
Releases: 4

Created over 11 years ago · Last pushed about 2 years ago

Metadata Files

Readme Changelog Contributing License Authors

README.rst

pyLDAvis
========

Python library for interactive topic model visualization.
This is a port of the fabulous `R package `_ by `Carson Sievert `__ and `Kenny Shirley `__.

.. figure:: http://www.kennyshirley.com/figures/ldavis-pic.png
   :alt: LDAvis icon

**pyLDAvis** is designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization.

The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.

Note: LDA stands for `latent Dirichlet allocation `_.

|version status| |build status| |docs|

Installation
~~~~~~~~~~~~~~~~~~~~~~

-  Stable version using pip:

::

    pip install pyldavis

-  Development version on GitHub

Clone the repository and run ``python setup.py``

Usage
~~~~~~~~~~~~~~~~~~~~~~

The best way to learn how to use **pyLDAvis** is to see it in action.
Check out this `notebook for an overview `__.
Refer to the `documentation `__ for details.

For a concise explanation of the visualization see this
`vignette `__ from the LDAvis R package.

Video demos
~~~~~~~~~~~

Ben Mabey walked through the visualization in this short talk using a Hacker News corpus:

-  `Visualizing Topic Models `__
-  `Notebook and visualization used in the demo `__
-  `Slide deck `__


`Carson Sievert `__ created a video demoing the R package. The visualization is the same and so it applies equally to pyLDAvis:

-  `Visualizing & Exploring the Twenty Newsgroup Data `__

More documentation
~~~~~~~~~~~~~~~~~~

To read about the methodology behind pyLDAvis, see `the original
paper `__,
which was presented at the `2014 ACL Workshop on Interactive Language
Learning, Visualization, and
Interfaces `__ in Baltimore
on June 27, 2014.




.. |version status| image:: https://img.shields.io/pypi/v/pyLDAvis.svg
   :target: https://pypi.python.org/pypi/pyLDAvis
.. |build status| image:: https://travis-ci.org/bmabey/pyLDAvis.png?branch=master
   :target: https://travis-ci.org/bmabey/pyLDAvis
.. |docs| image:: https://readthedocs.org/projects/pyldavis/badge/?version=latest
   :target: https://pyLDAvis.readthedocs.org

Owner

Name: Ben Mabey
Login: bmabey
Kind: user
Location: Salt Lake City, Utah

Website: http://benmabey.com
Repositories: 138
Profile: https://github.com/bmabey

GitHub Events

Total

Issues event: 2
Watch event: 39
Issue comment event: 1
Pull request event: 1
Fork event: 2

Last Year

Issues event: 2
Watch event: 39
Issue comment event: 1
Pull request event: 1
Fork event: 2

Committers

Last synced: about 1 year ago

All Time

Total Commits: 254
Total Committers: 42
Avg Commits per committer: 6.048
Development Distribution Score (DDS): 0.413

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Ben Mabey	b**n@b**m	149
Mark Susol	m**l@g**m	33
Matti Lyra	m**a@s**k	7
yxtay	w**y@g**m	6
Paul English	p**l@o**m	4
Rafael Augusto de Oliveira	o**a@p**m	4
ed9w2in6	w**6@g**m	4
Christopher Erick Moody	c**y@g**m	3
Zechy Wong	Z****W	2
Tim Hopper	t**r@g**m	2
Beto	l**a@c**u	2
Carson Sievert	c**1@g**m	2
Maksim Terpilowski	m**p@g**m	2
dependabot[bot]	4****]	2
Jan Rygl	j**l@g**m	2
Vincent Latrouite	v**e@g**m	2
Alex Loosley	a**y@r**e	2
jon	h**2@g**m	2
Bob Flagg	b**b@c**t	1
luis lopez	l**z@n**g	1
llopez	l**z@n**g	1
greatc0de	9****e	1
bacon	i**0@g**m	1
Shubhanshu Mishra	s**8@i**u	1
Samuel Lelièvre	s****l	1
Riccardo Mastellone	r**e@g**m	1
Nicolas Fouqué	f**n@o**r	1
Martin Breuss	m****n	1
Jonathan Schneider	j**r@s**e	1
John Dagdelen	j****n	1
and 12 more...

Committer Domains (Top 20 + Academic)

dam.io: 1 yandex.com: 1 gmx.de: 1 georgetown.edu: 1 microsoft.com: 1 student.hpi.de: 1 outlook.fr: 1 illinois.edu: 1 nsidc-lopez.users.int.nsidc.org: 1 nsidc.org: 1 calcworks.net: 1 reply.de: 1 colorado.edu: 1 onfrst.com: 1 sussex.ac.uk: 1 benmabey.com: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time

Total issues: 83
Total pull requests: 42
Average time to close issues: about 1 year
Average time to close pull requests: about 1 year
Total issue authors: 73
Total pull request authors: 31
Average comments per issue: 3.58
Average comments per pull request: 1.69
Merged pull requests: 19
Bot issues: 0
Bot pull requests: 4

Past Year

Issues: 2
Pull requests: 2
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 2
Pull request authors: 2
Average comments per issue: 0.5
Average comments per pull request: 0.0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 1

View more stats

Top Authors

Issue Authors

msusol (4)
ed9w2in6 (3)
mahdi-1992 (2)
LIBeibeihere (2)
ooker777 (2)
bigbrihh (2)
zhijcao (1)
lakchchayam (1)
zc1018x (1)
jonaschn (1)
sharmaapeksha960 (1)
subratac (1)
tirkarthi (1)
paulthemagno (1)
mike239x (1)

Pull Request Authors

msusol (6)
dependabot[bot] (5)
OliRafa (3)
ed9w2in6 (2)
graingert (2)
betheazdavida (1)
mcgowaji (1)
phonosync (1)
greatc0de (1)
santiagxf (1)
maximtrp (1)
haridas (1)
fengqiaogit (1)
Partho (1)
cpsievert (1)

Top Labels

Issue Labels

Pull Request Labels

dependencies (5)

Packages

Total packages: 3
Total downloads:
- pypi 106,133 last-month
Total docker downloads: 169

Total dependent packages: 11
(may contain duplicates)
Total dependent repositories: 141
(may contain duplicates)
Total versions: 32
Total maintainers: 2

pypi.org: pyldavis

Interactive topic model visualization. Port of the R package.

Homepage: https://github.com/bmabey/pyLDAvis
Documentation: https://pyldavis.readthedocs.io/
License: BSD-3-Clause
Latest release: 3.4.1
published about 3 years ago

Versions: 26
Dependent Packages: 10
Dependent Repositories: 134
Downloads: 106,133 Last month
Docker Downloads: 169

Rankings

Downloads: 0.6%

Dependent packages count: 0.8%

Dependent repos count: 1.3%

Stargazers count: 1.6%

Average: 1.7%

Forks count: 2.8%

Docker downloads count: 3.2%

Maintainers (2)

bmabey marksusol

Last synced: 10 months ago

proxy.golang.org: github.com/bmabey/pyLDAvis

Documentation: https://pkg.go.dev/github.com/bmabey/pyLDAvis#section-documentation
Latest release: v1.0.0
published about 11 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 7.0%

Average: 8.2%

Dependent repos count: 9.3%

Last synced: 11 months ago

conda-forge.org: pyldavis

pyLDAvis is designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization. The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.

Homepage: https://github.com/bmabey/pyLDAvis
License: BSD-3-Clause
Latest release: 3.3.1
published over 5 years ago

Versions: 5
Dependent Packages: 1
Dependent Repositories: 7

Rankings

Forks count: 9.1%

Stargazers count: 9.7%

Dependent repos count: 12.9%

Average: 15.2%

Dependent packages count: 29.0%

Last synced: 11 months ago

Dependencies

Pipfile pypi

pytest >=3.7 develop
Jinja2 *
funcy *
future *
gensim *
joblib *
numexpr *
numpy >=1.20.1
pandas *
pyLDAvis *
reproducer *
scikit-learn *
scipy *
sklearn *

Pipfile.lock pypi

attrs ==20.3.0 develop
iniconfig ==1.1.1 develop
packaging ==20.9 develop
pluggy ==0.13.1 develop
py ==1.10.0 develop
pyparsing ==2.4.7 develop
pytest ==6.2.2 develop
toml ==0.10.2 develop
funcy ==1.15
future ==0.18.2
gensim ==3.8.3
jinja2 ==2.11.3
joblib ==1.0.1
markupsafe ==1.1.1
numexpr ==2.7.3
numpy ==1.20.1
pandas ==1.2.3
pyldavis *
python-dateutil ==2.8.1
pytz ==2021.1
reproducer *
scikit-learn ==0.24.1
scipy ==1.6.1
six ==1.15.0
sklearn ==0.0
smart-open ==4.2.0
threadpoolctl ==2.1.0

requirements.txt pypi

funcy *
future *
gensim *
jinja2 *
joblib *
numexpr *
numpy >=1.20.0
pandas >=1.2.0
scikit-learn *
scipy *
setuptools *
sklearn *

pyproject.toml pypi

setup.py pypi