Latest version
Released:
Rapid List 1.0.2 2017
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK
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Project description
RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domainindependent keyword extraction algorithm which tries to determine keyphrases in a body of text by analyzing the frequency of word appearanceand its co-occurance with other words in the text.
Setup
Directly from the repository
Post setup
If you see a stopwords error, it means that you do not have the corpusstopwords
downloaded from NLTK. You can download it using command below.
Advanced Usage
References
This is a python implementation of the algorithm as mentioned in paperAutomatic keyword extraction from individual documents by Stuart Rose,Dave Engel, Nick Cramer and Wendy Cowley
Why I chose to implement it myself?
- It is extremely fun to implement algorithms by reading papers. It isthe digital equivalent of DIY kits.
- There are some rather popular implementations out there, in python(aneesha/RAKE) andnode(waseem18/node-rake) but neither seemed to use the power of NLTK. By making NLTKan integral part of the implementation I get the flexibility and power to extend it in othercreative ways, if I see fit later, without having to implement everything myself.
- I plan to use it in my other pet projects to come and wanted it to bemodular and tunable and this way I have complete control.
Contributing
Bug Reports and Feature Requests
Please use issue tracker for reporting bugs or feature requests.
Rapid List 1 0 20
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Release historyRelease notifications
1.0.4
1.0.3
Rapid List 1.0.2 System
1.0.2
1.0.1
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1.0.0
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Filename, size | File type | Python version | Upload date | Hashes |
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Filename, size rake_nltk-1.0.4.tar.gz (7.6 kB) | File type Source | Python version None | Upload date | Hashes |
Rapid List 1 0 2016
CloseRapid List 1.0.2 Download
Hashes for rake_nltk-1.0.4.tar.gz
Rapid List 1.0.2 Map
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SHA256 | fe2b5d4422754f80f292763dac9e5be366af7a7a0431a621d79c603110cd004e |
MD5 | 0602bc584acfa0611333e53d1a023fdd |
BLAKE2-256 | 8ec4b4ff57e541ac5624ad4b20b89c2bafd4e98f29fd83139f3a81858bdb3815 |