pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
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Repository
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Basic Info
- Host: GitHub
- Owner: DerwenAI
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://derwen.ai/docs/ptr/
- Size: 1.62 MB
Statistics
- Stars: 2,188
- Watchers: 64
- Forks: 333
- Open Issues: 19
- Releases: 22
Topics
Metadata Files
README.md
PyTextRank
PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work -- and related knowledge graph practices. This includes the family of textgraph algorithms:
- TextRank by [mihalcea04textrank]
- PositionRank by [florescuc17]
- Biased TextRank by [kazemi-etal-2020-biased]
- TopicRank by [bougouin-etal-2013-topicrank]
Popular use cases for this library include:
- phrase extraction: get the top-ranked phrases from a text document
- low-cost extractive summarization of a text document
- help infer concepts from unstructured text into more structured representation
See our full documentation at: https://derwen.ai/docs/ptr/
Getting Started
See the "Getting Started" section of the online documentation.
To install from PyPi:
python3 -m pip install pytextrank
python3 -m spacy download en_core_web_sm
If you work directly from this Git repo, be sure to install the
dependencies as well:
python3 -m pip install -r requirements.txt
Alternatively, to install dependencies using conda:
conda env create -f environment.yml
conda activate pytextrank
Then to use the library with a simple use case: ```python import spacy import pytextrank
example text
text = "Compatibility of systems of linear constraints over the set of natural numbers. Criteria of compatibility of a system of linear Diophantine equations, strict inequations, and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions and algorithms of construction of minimal generating sets of solutions for all types of systems are given. These criteria and the corresponding algorithms for constructing a minimal supporting set of solutions can be used in solving all the considered types systems and systems of mixed types."
load a spaCy model, depending on language, scale, etc.
nlp = spacy.load("encoreweb_sm")
add PyTextRank to the spaCy pipeline
nlp.add_pipe("textrank") doc = nlp(text)
examine the top-ranked phrases in the document
for phrase in doc._.phrases: print(phrase.text) print(phrase.rank, phrase.count) print(phrase.chunks) ```
See the tutorial notebooks in the examples subdirectory for
sample code and patterns to use in integrating PyTextTank with
related libraries in Python:
https://derwen.ai/docs/ptr/tutorial/
Contributing Code
We welcome people getting involved as contributors to this open source project! For detailed instructions please see: [CONTRIBUTING.md](https://github.com/DerwenAI/pytextrank/blob/main/CONTRIBUTING.md)Build Instructions
Note: unless you are contributing code and updates, in most use cases won't need to build this package locally. Instead, simply install from [PyPi](https://pypi.python.org/pypi/pytextrank) or use [Conda](https://docs.conda.io/). To set up the build environment locally, see the ["Build Instructions"](https://derwen.ai/docs/ptr/build/) section of the online documentation.Semantic Versioning
Generally speaking the major release number of PyTextRank will track with the major release number of the associatedspaCy
version.
See:
[CHANGELOG.md](https://github.com/DerwenAI/pytextrank/blob/main/CHANGELOG.md)

License and Copyright
Source code for PyTextRank plus its logo, documentation, and examples have an MIT license which is succinct and simplifies use in commercial applications.
All materials herein are Copyright © 2016-2024 Derwen, Inc.
Attribution
Please use the following BibTeX entry for citing PyTextRank if you
use it in your research or software:
bibtex
@software{PyTextRank,
author = {Paco Nathan},
title = {{PyTextRank, a Python implementation of TextRank for phrase extraction and summarization of text documents}},
year = 2016,
publisher = {Derwen},
doi = {10.5281/zenodo.4637885},
url = {https://github.com/DerwenAI/pytextrank}
}
Citations are helpful for the continued development and maintenance of this library. For example, see our citations listed on Google Scholar.
Kudos
Many thanks to our open source sponsors; and to our contributors: @ceteri, @louisguitton, @Ankush-Chander, @tomaarsen, @CaptXiong, @Lord-V15, @anna-droid-beep, @dvsrepo, @clabornd, @dayalstrub-cma, @kavorite, @0dB, @htmartin, @williamsmj, @mattkohl, @vanita5, @HarshGrandeur, @mnowotka, @kjam, @SaiThejeshwar, @laxatives, @dimmu, @JasonZhangzy1757, @jake-aft, @junchen1992, @shyamcody, @chikubee; also to @mihalcea who leads outstanding NLP research work, encouragement from the wonderful folks at Explosion who develop spaCy, plus general support from Derwen, Inc.
Star History
Owner
- Name: derwen.ai
- Login: DerwenAI
- Kind: organization
- Location: Sebastopol, CA
- Website: https://derwen.ai/
- Twitter: derwen_ai
- Repositories: 13
- Profile: https://github.com/DerwenAI
We provide enterprise customers with full-stack engineering for AI applications at enterprise scale, emphasizing open source integration.
Citation (CITATION)
@software{PyTextRank,
author = {Paco Nathan},
title = {{PyTextRank, a Python implementation of TextRank for phrase extraction and summarization of text documents}},
year = 2016,
publisher = {Derwen},
doi = {10.5281/zenodo.4602393},
url = {https://github.com/DerwenAI/pytextrank}
}
GitHub Events
Total
- Create event: 2
- Commit comment event: 5
- Issues event: 1
- Watch event: 54
- Issue comment event: 3
- Member event: 1
- Push event: 2
- Pull request event: 1
- Fork event: 1
Last Year
- Create event: 2
- Commit comment event: 5
- Issues event: 1
- Watch event: 54
- Issue comment event: 3
- Member event: 1
- Push event: 2
- Pull request event: 1
- Fork event: 1
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Paco Nathan | c****i@g****m | 233 |
| Tom Aarsen | C****v@g****m | 32 |
| Ankush-Chander | a****r@g****m | 30 |
| Louis Guitton | l****3@g****m | 8 |
| snyk-bot | s****t@s****o | 6 |
| Ben Han | b****n@d****m | 2 |
| 0dB | 0****B | 2 |
| Daniel Claborne | d****e@g****m | 2 |
| Michał Nowotka | m****w@g****m | 2 |
| HarshGrandeur | h****3@g****m | 1 |
| Jake Carter | 3****t | 1 |
| kjam | k****l@g****m | 1 |
| æriess | i****e@g****m | 1 |
| DayalStrub | s****l@g****m | 1 |
| Jun Chen | j****2@g****m | 1 |
| Sai Thejeshwar | s****r@g****m | 1 |
| anna-droid-beep | a****h@c****r | 1 |
| zhan xiong | z****g@m****m | 1 |
| dimmu | d****s@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 60
- Total pull requests: 79
- Average time to close issues: about 1 year
- Average time to close pull requests: 26 days
- Total issue authors: 44
- Total pull request authors: 11
- Average comments per issue: 2.87
- Average comments per pull request: 0.54
- Merged pull requests: 60
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 3
- Pull request authors: 2
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ceteri (4)
- louisguitton (4)
- Ankush-Chander (3)
- 0dB (3)
- DayalStrub (3)
- Fan-Luo (2)
- Ayenem (2)
- BrandonKMLee (2)
- debraj135 (2)
- Chtchou (1)
- Jansonboss (1)
- nv-rliu (1)
- lisabecker-ml6 (1)
- merrillaldrich (1)
- liuvic (1)
Pull Request Authors
- ceteri (61)
- Ankush-Chander (8)
- tomaarsen (5)
- snyk-bot (4)
- louisguitton (3)
- sww (2)
- jake-aft (2)
- clabornd (1)
- dayalstrub-cma (1)
- 0dB (1)
- CaptXiong (1)
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Packages
- Total packages: 3
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Total downloads:
- pypi 105,026 last-month
- Total docker downloads: 605
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Total dependent packages: 6
(may contain duplicates) -
Total dependent repositories: 90
(may contain duplicates) - Total versions: 64
- Total maintainers: 1
pypi.org: pytextrank
Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work plus related knowledge graph practices; used for for phrase extraction of text documents.
- Documentation: https://pytextrank.readthedocs.io/
- License: MIT License Copyright (c) 2016-2022 Derwen, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 3.3.0
published almost 2 years ago
Rankings
Maintainers (1)
proxy.golang.org: github.com/DerwenAI/pytextrank
- Documentation: https://pkg.go.dev/github.com/DerwenAI/pytextrank#section-documentation
- License: mit
-
Latest release: v3.3.0+incompatible
published almost 2 years ago
Rankings
proxy.golang.org: github.com/derwenai/pytextrank
- Documentation: https://pkg.go.dev/github.com/derwenai/pytextrank#section-documentation
- License: mit
-
Latest release: v3.3.0+incompatible
published almost 2 years ago
Rankings
Dependencies
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- nbmake >=1.0 development
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- altair >=4.1.0
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- networkx >=2.6
- pygments >=2.7.4
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